{"query_echo":{"q":"","filters":{"organization":["International Panel on the Information Environment"]},"warnings":[]},"total":{"value":105,"relation":"eq"},"page":2,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?organization=international-panel-on-the-information-environment&page=2","next":"https://climateinsightsdirectory.org/api/v1/search?organization=international-panel-on-the-information-environment&page=3","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"ipie-000028","url":"https://climateinsightsdirectory.org/document/ipie-000028","title":"Artificial Intelligence and Peacebuilding: Opportunities and Challenges","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"research paper","language":"en","date_published":"2025","source_url":"https://www.ipie.info/research/tp2025-3","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the dual-use nature of AI in peacebuilding, highlighting its potential to enhance conflict forecasting, real-time mapping, and inclusive dialogue while warning against risks such as algorithmic bias, surveillance, and the erosion of human facilitation skills. It emphasizes that AI's effectiveness depends on a healthy information environment and a rights-based approach to design and governance.","ai_generated":true,"unit":"ipie-000028#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"AI tools are being used for conflict prediction and early warning, with systems like ACLED's Conflict Alert System (CAST) reportedly achieving accuracy rates of up to 95% for forecasts up to six months in advance.","ai_generated":true,"unit":"ipie-000028#insight-1","date_modified":"2026-10-23"},{"text":"AI-enhanced mapping and satellite imagery are significantly accelerating humanitarian response; for example, the DISHA system has shown potential to reduce damage assessment time by a factor of six.","ai_generated":true,"unit":"ipie-000028#insight-2","date_modified":"2026-10-23"},{"text":"AI-powered platforms like Remesh and Polis are scaling citizen engagement in conflict zones, such as in Libya, Yemen, and Syria, by facilitating large-scale dialogues and identifying areas of consensus.","ai_generated":true,"unit":"ipie-000028#insight-3","date_modified":"2026-10-23"},{"text":"There is a critical risk of 'dual-use' where AI tools intended for peacebuilding are repurposed for military targeting and surveillance, as seen with the Israeli military's use of the Gospel and Lavender systems in Gaza.","ai_generated":true,"unit":"ipie-000028#insight-4","date_modified":"2026-10-23"},{"text":"The report identifies a significant 'implementation gap' where an abundance of AI-generated data does not automatically translate into policy action due to complex political and economic realities.","ai_generated":true,"unit":"ipie-000028#insight-5","date_modified":"2026-10-23"},{"text":"AI's role in mediation is currently most effective in a support capacity—such as automating administration or scenario planning—rather than as a substitute for human mediators in high-stakes conflicts.","ai_generated":true,"unit":"ipie-000028#insight-6","date_modified":"2026-10-23"},{"text":"The sustainability of AI peacebuilding initiatives is threatened by precarious funding and low user engagement, exemplified by the DEEP platform where only 20% of registered users show active annual participation.","ai_generated":true,"unit":"ipie-000028#insight-7","date_modified":"2026-10-23"},{"text":"A healthy information environment—characterized by digital literacy, diversity of voices, and accountability—is a prerequisite for AI to support peacebuilding rather than exacerbate conflict.","ai_generated":true,"unit":"ipie-000028#insight-8","date_modified":"2026-10-23"},{"text":"Current Large Language Models (LLMs) continue to suffer from hallucinations, with error rates between 0.8% and 5% even in ideal conditions, which poses dangers in critical humanitarian operations.","ai_generated":true,"unit":"ipie-000028#insight-9","date_modified":"2026-10-23"}],"climate_tags":["human rights","digital divide"],"geography_discussed":["Libya","Yemen","Syria","Gaza Strip","Ukraine","Sudan","Kenya","Taiwan","People's Republic of China","United States"],"frame_perspective":[],"analysis_type":["literature review","case study analysis","policy recommendation"]},{"id":"ipie-000072","url":"https://climateinsightsdirectory.org/document/ipie-000072","title":"Faits Avérés, Fausses Informations, et Science du Climat","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"fr","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/68ffea93ad786c70a4f087a9_FR_SFP2025.2%20-%20Facts%20Fakes%20and%20Climate%20Science.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies a shift from outright climate denial to 'strategic skepticism,' where powerful economic and political actors intentionally spread misleading narratives to obstruct climate action. It highlights that policymakers are primary targets of this disinformation, which is disseminated through corporate sustainability reports, lobby groups, and social media. The document argues that this environment erodes public trust in science and creates a feedback loop of political inaction. To counter this, the report recommends standardized carbon emission reporting, legal recourse against greenwashing, the creation of multi-stakeholder coalitions, and enhanced science and media literacy education.","ai_generated":true,"unit":"ipie-000072#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate disinformation has evolved from outright denial of the fact of climate change to 'strategic skepticism,' which accepts that climate change is real but casts doubt on its human causes, the feasibility of solutions, and the cost-effectiveness of policies.","ai_generated":true,"unit":"ipie-000072#insight-1","date_modified":"2026-10-23"},{"text":"Powerful entities, including fossil fuel companies, governments, and political parties, intentionally disseminate inaccurate narratives through digital, audiovisual, and interpersonal channels to hinder policy effectiveness.","ai_generated":true,"unit":"ipie-000072#insight-2","date_modified":"2026-10-23"},{"text":"Policymakers, including elected officials and civil servants, are central targets of disinformation, which is often delivered via corporate sustainability reports, partisan policy notes, and private interpersonal networks.","ai_generated":true,"unit":"ipie-000072#insight-3","date_modified":"2026-10-23"},{"text":"The spread of conspiracy theories and misinformation leads to a loss of public trust in climate science and institutions, creating a cycle where economic and political elites encourage skepticism to fuel public opposition to climate policies.","ai_generated":true,"unit":"ipie-000072#insight-4","date_modified":"2026-10-23"},{"text":"There are significant global disparities in information integrity research, with a heavy concentration of studies in Northern countries and a lack of documentation on impacts in the Global South.","ai_generated":true,"unit":"ipie-000072#insight-5","date_modified":"2026-10-23"},{"text":"Four policy areas have been identified as consistently positive for improving information integrity: legislation for standardized carbon reporting and labeling, legal recourse for greenwashing, the formation of stakeholder coalitions, and science/media education.","ai_generated":true,"unit":"ipie-000072#insight-6","date_modified":"2026-10-23"}],"climate_tags":["obsidian","climate change disinformation","climate policy","greenwashing","climate justice","fossil fuel industry"],"geography_discussed":["Switzerland"],"frame_perspective":[],"analysis_type":["systematic review","policy assessment"]},{"id":"ipie-000073","url":"https://climateinsightsdirectory.org/document/ipie-000073","title":"Hechos, falsedades y ciencia del Clima","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"es","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/68ffea999df3e2f459b3e05c_ES_SFP2025.2%20-%20Facts%20Fakes%20and%20Climate%20Science.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies a shift from outright climate denial to 'strategic skepticism,' where powerful economic and political actors—including fossil fuel companies and right-wing populist movements—undermine climate action by questioning the viability and cost of solutions. It highlights that policymakers are primary targets of this disinformation, which is disseminated through social media, traditional media, and corporate sustainability reports. This erosion of information integrity leads to a loss of public trust in climate science and a feedback loop of political inaction. The document recommends four key interventions: legislation for standardized carbon reporting and content labeling, judicial action against greenwashing, the formation of cross-sector coalitions, and enhanced scientific and media education for the public and policymakers.","ai_generated":true,"unit":"ipie-000073#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate disinformation has evolved from outright denial of climate change to 'strategic skepticism.' While denialism questions whether climate change is a fact, strategic skepticism acknowledges the fact but casts doubt on human causality and the viability or cost-effectiveness of existing climate policies.","ai_generated":true,"unit":"ipie-000073#insight-1","date_modified":"2026-10-23"},{"text":"Powerful entities, including fossil fuel companies, governments, and right-wing populist movements, deliberately spread inaccurate narratives to obstruct climate action. These actors often form alliances that operate without public transparency, utilizing 'salaried' scientists to facilitate the creation of disinformation.","ai_generated":true,"unit":"ipie-000073#insight-2","date_modified":"2026-10-23"},{"text":"Policymakers, including elected officials and public servants, are strategic targets of disinformation because they are central to the communication chains that translate science into policy. Key vectors for this influence include corporate sustainability reports, greenwashing PR campaigns, and partisan policy reports.","ai_generated":true,"unit":"ipie-000073#insight-3","date_modified":"2026-10-23"},{"text":"The spread of disinformation and conspiracy theories erodes public trust in climate science and institutions, creating a cycle where economic and political elites promote skepticism, which then fuels public opposition to climate policies and further hinders decision-making.","ai_generated":true,"unit":"ipie-000073#insight-4","date_modified":"2026-10-23"},{"text":"Research on climate information integrity is heavily concentrated in the Global North, leaving a significant gap in documentation and understanding of the effects in the Global South.","ai_generated":true,"unit":"ipie-000073#insight-5","date_modified":"2026-10-23"},{"text":"The report identifies four effective policy areas to improve information integrity: legislation for standardized carbon reporting and content labeling, judicial processes to penalize greenwashing, the creation of multi-stakeholder coalitions, and scientific and media education for the public and policymakers.","ai_generated":true,"unit":"ipie-000073#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation","obsidian","greenwashing","climate policy","fossil fuel industry","climate education"],"geography_discussed":["Global North","Global South"],"frame_perspective":[],"analysis_type":["systematic review","policy assessment"]},{"id":"ipie-000074","url":"https://climateinsightsdirectory.org/document/ipie-000074","title":"Факты, фальсификации и климатология","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ru","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/68ffea9d5f99489e591096d5_RU_SFP2025.2%20-%20Facts%20Fakes%20and%20Climate%20Science.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document identifies a shift from outright climate denialism to 'strategic skepticism,' where influential entities—including fossil fuel companies and right-wing populist movements—undermine climate action by questioning the economic efficiency and causes of climate change. It highlights that policymakers are primary targets of this disinformation, which is disseminated through social media, corporate sustainability reports, and interpersonal networks. The report argues that this environment erodes public trust in climate science and creates a cycle of political inaction. To combat this, the authors recommend standardized carbon reporting legislation, legal action against 'greenwashing,' the creation of multi-stakeholder coalitions, and the enhancement of scientific and media literacy for both the public and officials.","ai_generated":true,"unit":"ipie-000074#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There has been a strategic shift in disinformation tactics from 'denialism,' which questions the fact of climate change, to 'strategic skepticism,' which accepts climate change as a fact but casts doubt on its anthropogenic causes and the economic viability of solutions.","ai_generated":true,"unit":"ipie-000074#insight-1","date_modified":"2026-10-23"},{"text":"Powerful economic and political interests, specifically fossil fuel companies, right-wing populist movements, and alliances between business and political figures, are the primary drivers of climate disinformation.","ai_generated":true,"unit":"ipie-000074#insight-2","date_modified":"2026-10-23"},{"text":"Policymakers, including elected officials and civil servants, are central targets of disinformation because they occupy the critical link in the chain that transforms scientific data into policy actions.","ai_generated":true,"unit":"ipie-000074#insight-3","date_modified":"2026-10-23"},{"text":"Climate disinformation is spread through a variety of channels, including traditional and social media, as well as 'third stream' communications such as corporate sustainability reports and private exchanges between business leaders and politicians.","ai_generated":true,"unit":"ipie-000074#insight-4","date_modified":"2026-10-23"},{"text":"The impact of disinformation is a long-term erosion of public trust in climate science and a decrease in civic engagement and interest in mitigation initiatives, often fueled by conspiracy theories.","ai_generated":true,"unit":"ipie-000074#insight-5","date_modified":"2026-10-23"},{"text":"There is a significant research gap regarding information integrity in the Global South, while most existing studies are concentrated in the Global North.","ai_generated":true,"unit":"ipie-000074#insight-6","date_modified":"2026-10-23"},{"text":"The report proposes four primary policy interventions: legislation for standardized carbon reporting and content labeling, litigation against 'greenwashing,' the formation of cross-border coalitions of stakeholders, and the improvement of scientific and media literacy.","ai_generated":true,"unit":"ipie-000074#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change","obsidian","climate change disinformation","greenwashing","climate policy","anthropogenic climate change","Paris Agreement"],"geography_discussed":["Global North","Global South","Switzerland"],"frame_perspective":[],"analysis_type":["systematic review","policy recommendation"]},{"id":"ipie-000075","url":"https://climateinsightsdirectory.org/document/ipie-000075","title":"علوم المناخ ومات حول القضايا لصناع السیاسات","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ar","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/68ffeaa4ece6e38afc8864a0_AR_SFP2025.2%20-%20Facts%20Fakes%20and%20Climate%20Science.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies a shift from outright climate denial to 'strategic doubt,' where powerful economic and political actors—including fossil fuel companies and right-wing populist movements—deliberately spread misleading narratives to obstruct climate action. It highlights that policymakers are primary targets of this misinformation, which is disseminated through social media, traditional media, and corporate sustainability reports. This environment erodes public trust and creates a feedback loop of scientific denial and political inaction. The document recommends four key policy interventions: legislation for standardized carbon reporting and content labeling, litigation against greenwashing, the formation of counter-alliances by civil society, and the promotion of scientific and media literacy.","ai_generated":true,"unit":"ipie-000075#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate misinformation has evolved from the outright denial of climate change to 'strategic doubt,' which aims to create uncertainty regarding the causes of climate change and the feasibility or cost-effectiveness of available solutions.","ai_generated":true,"unit":"ipie-000075#insight-1","date_modified":"2026-10-23"},{"text":"Powerful actors, specifically fossil fuel companies, governments, national states, and political parties, intentionally spread inaccurate narratives to hinder effective policy responses.","ai_generated":true,"unit":"ipie-000075#insight-2","date_modified":"2026-10-23"},{"text":"Policymakers, including elected officials and civil servants, are central targets of misinformation because they translate climate science into decisions and actions.","ai_generated":true,"unit":"ipie-000075#insight-3","date_modified":"2026-10-23"},{"text":"Misinformation is disseminated through a variety of channels, including traditional media, social media, and 'third streams' such as corporate sustainability reports and closed exchanges between business interests and policymakers.","ai_generated":true,"unit":"ipie-000075#insight-4","date_modified":"2026-10-23"},{"text":"The spread of misinformation leads to a loss of public trust in climate science and the institutions responsible for implementing policies, creating a cycle of public opposition and political inaction.","ai_generated":true,"unit":"ipie-000075#insight-5","date_modified":"2026-10-23"},{"text":"There is a significant lack of research regarding climate information integrity in the Global South, despite the likelihood of significant impacts in these regions.","ai_generated":true,"unit":"ipie-000075#insight-6","date_modified":"2026-10-23"},{"text":"The report identifies four effective policy areas for improving information integrity: legislation for standardized carbon reporting and labeling, litigation against greenwashing, building stakeholder alliances, and educating the public and policymakers.","ai_generated":true,"unit":"ipie-000075#insight-7","date_modified":"2026-10-23"}],"climate_tags":["obsidian","climate change disinformation","climate policy","fossil fuel industry","greenwashing","climate change litigation"],"geography_discussed":["Switzerland"],"frame_perspective":[],"analysis_type":["systematic review","policy recommendation"]},{"id":"ipie-000076","url":"https://climateinsightsdirectory.org/document/ipie-000076","title":"Fatos, Mentiras e Ciência do Clima","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"pt","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/68ffeaa992ce74e9ca20716a_PTB_SFP2025.2%20-%20Facts%20Fakes%20and%20Climate%20Science.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document identifies a shift from absolute climate denial to 'strategic skepticism,' where powerful economic and political actors intentionally spread misleading narratives to obstruct climate action. It highlights that policymakers are primary targets of this disinformation, which erodes public trust in science and creates a feedback loop of political inaction. To counter this, the report recommends standardized carbon reporting legislation, litigation against greenwashing, the formation of multi-stakeholder coalitions, and enhanced scientific and media literacy.","ai_generated":true,"unit":"ipie-000076#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate disinformation has evolved from absolute denial of climate change to 'strategic skepticism.' While denialism questions climate change as a fact, strategic skepticism acknowledges it as a fact but casts doubt on its human causes, the viability of solutions, and the cost-benefit ratio of climate policies.","ai_generated":true,"unit":"ipie-000076#insight-1","date_modified":"2026-10-23"},{"text":"Powerful economic and political entities, including fossil fuel companies, governments, and political parties, are the primary drivers of climate disinformation. These actors often form non-transparent alliances and employ 'paid professionals' to create and spread false information.","ai_generated":true,"unit":"ipie-000076#insight-2","date_modified":"2026-10-23"},{"text":"Policymakers, including elected officials and public servants, are strategic targets of disinformation because they are central to the communication chains that translate science into policy. Disinformation reaches them through corporate sustainability reports, greenwashing PR campaigns, party policy briefs, and interpersonal networks.","ai_generated":true,"unit":"ipie-000076#insight-3","date_modified":"2026-10-23"},{"text":"Disinformation undermines public trust in climate science and institutions, leading to feelings of helplessness and a reduction in public engagement with climate policy and mitigation initiatives.","ai_generated":true,"unit":"ipie-000076#insight-4","date_modified":"2026-10-23"},{"text":"There is a significant research gap regarding climate information integrity in the Global South, as current research is heavily concentrated in the Global North.","ai_generated":true,"unit":"ipie-000076#insight-5","date_modified":"2026-10-23"},{"text":"The report recommends four specific policy interventions to restore information integrity: legislation for standardized carbon reporting and content labeling, litigation against greenwashing, the creation of coalitions to balance corporate and political lobbies, and the promotion of scientific and media literacy.","ai_generated":true,"unit":"ipie-000076#insight-6","date_modified":"2026-10-23"}],"climate_tags":["obsidian","climate change disinformation","greenwashing","climate policy"],"geography_discussed":["Global North","Global South"],"frame_perspective":[],"analysis_type":["systematic review","policy recommendation"]},{"id":"ipie-000077","url":"https://climateinsightsdirectory.org/document/ipie-000077","title":"Submission to the UK Parliament Joint Committee on Human Right Technical Paper 2025.6 Response to a Call for Evidence on Artificial Intelligence and Human Rights","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"statement","language":"en","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6900f5d23ceb9e2dc1d97f7a_UK%20Human%20Rights%20Submission.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The International Panel on the Information Environment (IPIE) proposes three primary regulatory interventions for AI in the UK: mandatory human rights impact assessments for high-risk systems, accountability frameworks for Generative AI in elections, and mandatory data access for independent AI auditing to resolve information asymmetries.","ai_generated":true,"unit":"ipie-000077#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The IPIE recommends mandatory human rights impact assessments for high-risk AI systems, especially those integrated into social networking platforms. These assessments should evaluate risks to privacy, dignity, democratic participation, and access to accurate information, and must include independent oversight and enforceable safeguards.","ai_generated":true,"unit":"ipie-000077#insight-1","date_modified":"2026-10-23"},{"text":"Generative AI poses significant risks to electoral integrity; an IPIE analysis of 50 countries holding national elections in 2024 found that Generative AI was used to influence elections in 80% of cases. In these instances, 69% pursued objectives potentially harmful to democratic processes, and 46% could not be traced to specific actors.","ai_generated":true,"unit":"ipie-000077#insight-2","date_modified":"2026-10-23"},{"text":"To counter electoral misuse, the IPIE suggests accountability frameworks including content labelling, detection systems for synthetic material, clear responsibility chains for developers and deployers, and international coordination to protect UK residents from foreign actors.","ai_generated":true,"unit":"ipie-000077#insight-3","date_modified":"2026-10-23"},{"text":"Independent AI auditing is currently hindered by an information asymmetry where auditors rely on developer-curated documentation rather than direct system access. The IPIE recommends mandatory data access for independent auditors to evaluate risks across the entire AI lifecycle and supply chain.","ai_generated":true,"unit":"ipie-000077#insight-4","date_modified":"2026-10-23"},{"text":"Expert research indicates high levels of concern regarding Generative AI's impact on the information environment: 63% of surveyed researchers are very or extremely concerned about its potential to amplify harassment, increase misinformation, and perpetuate biases, while 60% expect AI-generated videos to worsen the environment over the next five years.","ai_generated":true,"unit":"ipie-000077#insight-5","date_modified":"2026-10-23"}],"climate_tags":["human rights","climate change disinformation"],"geography_discussed":["Switzerland","World"],"frame_perspective":[],"analysis_type":["policy recommendation","evidence-based assessment"]},{"id":"ipie-000078","url":"https://climateinsightsdirectory.org/document/ipie-000078","title":"L'intelligence artificielle au service de la consolidation de la paix","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"fr","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee3c4ede2b0eeaf7b80b_Final%20FR%20AIPB%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the dual-use nature of AI in peacebuilding, highlighting its potential to improve early warning systems, civic engagement, and humanitarian mapping while warning against risks such as digital repression, algorithmic bias, and the erosion of human oversight. It argues that for AI to support peace rather than instability, it must be governed by human rights principles, transparency, and community participation.","ai_generated":true,"unit":"ipie-000078#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"AI-driven early warning systems, such as Violence in Early Warning Systems (ViEWS) and the Armed Conflict Location & Event Data (ACLED) project, can predict conflict with short-term accuracy up to 95% by identifying indicators like hate speech trends and troop movements. However, these models are prone to errors and biases in data-poor environments, meaning false positives can lead to unnecessary interventions and false negatives can endanger lives.","ai_generated":true,"unit":"ipie-000078#insight-1","date_modified":"2026-10-23"},{"text":"AI platforms like Remesh and Talk to the City are being used to increase civic participation and inclusive dialogue in conflict zones, including Libya, Syria, and Yemen. While these tools can amplify marginalized voices and improve policy legitimacy, they risk excluding vulnerable groups if not supported by in-person facilitation and community partnerships.","ai_generated":true,"unit":"ipie-000078#insight-2","date_modified":"2026-10-23"},{"text":"In humanitarian contexts, AI tools such as DISHA (led by UN Global Pulse) combine satellite imagery, drones, and participatory reports to create real-time conflict and damage maps, which in pilot studies reduced damage analysis times by a factor of six. Despite this efficiency, there is a severe risk that geospatial data could be misused to target civilians or repress dissidents.","ai_generated":true,"unit":"ipie-000078#insight-3","date_modified":"2026-10-23"},{"text":"AI can be designed to counter the polarizing nature of social media engagement by prioritizing thoughtful comments and personal narratives over sensationalism, using tools like the Perspective API and Phoenix. These pro-social algorithms aim to increase exposure to diverse perspectives and reduce harmful disinformation to restore social cohesion.","ai_generated":true,"unit":"ipie-000078#insight-4","date_modified":"2026-10-23"},{"text":"Effective AI deployment in fragile contexts requires strict ethical and legal oversight to prevent algorithmic discrimination, predictive policing, and the spread of 'hallucinated' or distorted facts by generative models. The document recommends investing in small-scale, context-specific models and ensuring transparency in training data and accountability mechanisms.","ai_generated":true,"unit":"ipie-000078#insight-5","date_modified":"2026-10-23"}],"climate_tags":["early warning system","climate change disinformation","human rights"],"geography_discussed":["Libya","Syria","Yemen"],"frame_perspective":[],"analysis_type":["literature review","policy assessment"]},{"id":"ipie-000079","url":"https://climateinsightsdirectory.org/document/ipie-000079","title":"Inteligencia artificial para la consolidación de la paz Promesas y escollos","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"es","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee4409132241ed306e4e_Final%20ES%20AIPB%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document explores the dual-use nature of AI in conflict zones, highlighting its potential to improve early warning systems, inclusive dialogue, and humanitarian mapping, while warning against its use for surveillance, disinformation, and repression. It argues that for AI to effectively support peacebuilding, it must be governed by human rights principles, transparency, and local community participation.","ai_generated":true,"unit":"ipie-000079#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"AI tools are increasingly used to predict violent outbreaks by identifying precursors such as hate speech trends and economic crises, with some machine learning models achieving 95% accuracy for short-term conflict forecasting. However, these tools are prone to errors and biases in data-poor environments, meaning they should complement rather than replace local technical expertise and participatory analysis.","ai_generated":true,"unit":"ipie-000079#insight-1","date_modified":"2026-10-23"},{"text":"Digital dialogue platforms powered by AI, such as Remesh and Talk to the City, are expanding civic participation and amplifying marginalized voices in conflict-affected regions, including Libya, Syria, and Yemen. These tools can strengthen legitimacy if managed with digital education and security to avoid excluding vulnerable groups.","ai_generated":true,"unit":"ipie-000079#insight-2","date_modified":"2026-10-23"},{"text":"AI accelerates humanitarian response through real-time mapping of conflict zones and disaster damage, with some pilot systems reducing damage analysis time sixfold. Despite these gains, geospatial data carries risks of misuse, such as being used to target civilians or repress dissent.","ai_generated":true,"unit":"ipie-000079#insight-3","date_modified":"2026-10-23"},{"text":"While social media business models often prioritize polarizing content, AI can be redesigned to foster prosocial interaction. Tools like Perspective API and Phoenix are being used to prioritize reflective comments and monitor networks to support peacebuilding and social cohesion.","ai_generated":true,"unit":"ipie-000079#insight-4","date_modified":"2026-10-23"},{"text":"Effective AI implementation in fragile conflict environments requires strict ethical and legal oversight to prevent algorithmic discrimination, surveillance, and the generation of false information. Governance should prioritize human rights, open documentation, and the development of small-scale models tailored to local contexts.","ai_generated":true,"unit":"ipie-000079#insight-5","date_modified":"2026-10-23"}],"climate_tags":["early warning system","climate change disinformation"],"geography_discussed":["Libya","Syria","Yemen"],"frame_perspective":[],"analysis_type":["literature review","policy assessment"]},{"id":"ipie-000080","url":"https://climateinsightsdirectory.org/document/ipie-000080","title":"Искусственный интеллект для миростроительства","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"policy brief","language":"ru","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee4c8006a4b202e22367_Final%20RU%20AIPB%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the dual-use nature of AI in conflict zones, highlighting its potential to improve early warning systems, scale digital dialogue, and accelerate humanitarian mapping, while warning against risks of surveillance, misinformation, and algorithmic bias. It argues that AI should complement rather than replace human diplomacy and must be governed by human rights principles and local community engagement.","ai_generated":true,"unit":"ipie-000080#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"AI tools such as the Violence Early Warning System (ViEWS) and Armed Conflict Location & Event Data (ACLED) can predict short-term conflict with up to 95% accuracy by identifying precursors like hate speech trends and troop movements. However, these models are prone to errors and bias in data-poor environments, meaning false positives can lead to unnecessary interventions and false negatives can endanger lives.","ai_generated":true,"unit":"ipie-000080#insight-1","date_modified":"2026-10-23"},{"text":"AI platforms like Remesh and Talk to the City are being used by the UN and other organizations in Libya, Syria, and Yemen to facilitate inclusive, multilingual digital consultations that amplify marginalized voices and scale peace dialogues beyond traditional forums.","ai_generated":true,"unit":"ipie-000080#insight-2","date_modified":"2026-10-23"},{"text":"In humanitarian response, AI initiatives such as Data Insights for Social & Humanitarian Action (DISHA) use drone footage and satellite imagery to map conflict zones and disaster damage, reducing analysis time by sixfold in pilot studies. Despite this, these tools risk being misused for surveillance or the persecution of civilians.","ai_generated":true,"unit":"ipie-000080#insight-3","date_modified":"2026-10-23"},{"text":"While social media business models often prioritize polarizing content, AI can be redesigned for pro-social outcomes. Tools like Perspective API and Phoenix are being used to prioritize thoughtful commentary and enable peacebuilders to monitor social networks to foster empathy and social cohesion.","ai_generated":true,"unit":"ipie-000080#insight-4","date_modified":"2026-10-23"},{"text":"Responsible AI governance in conflict zones is critical because weak regulatory systems can lead to algorithmic discrimination, predictive policing, and surveillance. Generative models also pose risks through 'hallucinations' or factual distortions that can impact human lives.","ai_generated":true,"unit":"ipie-000080#insight-5","date_modified":"2026-10-23"}],"climate_tags":["early warning system","climate change disinformation","human rights"],"geography_discussed":["Libya","Syria","Yemen"],"frame_perspective":[],"analysis_type":["policy brief","meta-analysis","systematic review"]},{"id":"ipie-000081","url":"https://climateinsightsdirectory.org/document/ipie-000081","title":"الذكاء الاصطناعي وبناء السلم","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ar","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6909ee52ced15fc459f77409_Final%20AR%20AIPB%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines how AI can support peacebuilding through early warning systems, digital dialogue, and humanitarian mapping, while warning against risks such as digital surveillance, algorithmic bias, and the amplification of polarization. It argues that AI should be a complementary tool to human diplomacy, requiring governance rooted in human rights and community participation to avoid exacerbating instability.","ai_generated":true,"unit":"ipie-000081#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"AI tools are increasingly used to predict violence, with machine learning models identifying indicators like hate speech trends and unusual troop movements to predict conflicts with up to 95% accuracy in the short term. However, these models are prone to error and bias, particularly in data-scarce environments, meaning false positives can lead to unnecessary interventions and false negatives can endanger lives.","ai_generated":true,"unit":"ipie-000081#insight-1","date_modified":"2026-10-23"},{"text":"AI-powered platforms such as 'Remesh' and 'Talk to the City' enable large-scale civic engagement in conflict-affected areas by analyzing public input and amplifying marginalized voices. These tools have been used by the UN and peacebuilding organizations in Libya, Syria, and Yemen to host inclusive, multilingual consultations.","ai_generated":true,"unit":"ipie-000081#insight-2","date_modified":"2026-10-23"},{"text":"In humanitarian response, AI facilitates real-time mapping of conflict zones and disaster damage, with some systems reducing damage analysis times sixfold. However, these technologies pose severe risks if used without oversight, as geospatial data has been used to target civilians or suppress opposition.","ai_generated":true,"unit":"ipie-000081#insight-3","date_modified":"2026-10-23"},{"text":"While social media business models often reward anger and polarization, AI can be redesigned to foster constructive online spaces. Tools like the Perspective API and Phoenix allow peacebuilders to prioritize thoughtful comments and personal narratives over provocation, potentially rebuilding social cohesion in divided communities.","ai_generated":true,"unit":"ipie-000081#insight-4","date_modified":"2026-10-23"},{"text":"Effective peacebuilding requires AI governance based on human rights and participatory principles, including community consultation and transparency in training data. Without such safeguards, AI can facilitate predictive policing, algorithmic discrimination, and the creation of false facts via generative models.","ai_generated":true,"unit":"ipie-000081#insight-5","date_modified":"2026-10-23"}],"climate_tags":["early warning system","human rights"],"geography_discussed":["Libya","Syria","Yemen"],"frame_perspective":[],"analysis_type":["literature review","policy assessment"]},{"id":"ipie-000083","url":"https://climateinsightsdirectory.org/document/ipie-000083","title":"L'IA générative dans les campagnes électorales : cartographie des tendances mondiales","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"fr","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c8b6525d26d8c8c7906_Final%20FR%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report finds that 80% of countries with competitive national elections in 2024 experienced GenAI-related incidents, with 69% of these incidents having a harmful impact. The majority of GenAI use focused on content creation (90%), and nearly half of the incidents (46%) had unknown sources. While some positive uses for civic engagement were noted, the document emphasizes the risks of disinformation and foreign interference, calling for mandatory disclosure standards and improved detection mechanisms.","ai_generated":true,"unit":"ipie-000083#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was prevalent in the majority of competitive national elections in 2024, with 80% of the 50 analyzed countries experiencing GenAI-related incidents. India and the United States recorded the highest number of incidents, with 30 each.","ai_generated":true,"unit":"ipie-000083#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is the production of synthetic content, including audio, images, videos, and social media posts, which accounted for 90% of recorded incidents. These tools are often integrated into broader influence operations using personalized messaging and targeted distribution.","ai_generated":true,"unit":"ipie-000083#insight-2","date_modified":"2026-10-23"},{"text":"Attributing GenAI content to a specific source is difficult, as 46% of incidents had unknown origins. Among identifiable sources, candidates and political parties were responsible for 25%, foreign actors for 20%, and other groups (such as lobbyists or individuals) for 9%.","ai_generated":true,"unit":"ipie-000083#insight-3","date_modified":"2026-10-23"},{"text":"Most GenAI applications in elections were harmful, with 69% of incidents categorized as having a detrimental role. Notably, 100% of incidents attributed to foreign actors were found to be harmful, such as the coordinated use of AI-generated voice content by Russian and Chinese actors during the Solomon Islands elections.","ai_generated":true,"unit":"ipie-000083#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively for civic engagement and accessibility. For example, 38% of uses by national political parties and candidates were beneficial, including the use of AI chatbots in Japan to answer voter questions and encourage turnout.","ai_generated":true,"unit":"ipie-000083#insight-5","date_modified":"2026-10-23"},{"text":"The report highlights specific cases where GenAI significantly impacted electoral outcomes or perceptions, such as in Romania, where coordinated AI manipulation contributed to the annulment of presidential election results, and in Bangladesh, where a deepfake video falsely announced a candidate's withdrawal.","ai_generated":true,"unit":"ipie-000083#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["trend analysis","incident mapping","policy assessment"]},{"id":"ipie-000084","url":"https://climateinsightsdirectory.org/document/ipie-000084","title":"IA generativa en campañas electorales: identificación de patrones globales","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"es","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c9286759bdd611e2a47_Final%20ES%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 incidents of generative AI use across 50 countries that held competitive national elections in 2024. It finds that GenAI was present in 80% of these countries, primarily used for creating synthetic content such as deepfake audio and video. A significant majority (69%) of these incidents were categorized as harmful to the electoral process, with 20% attributed to foreign actors, all of whom demonstrated harmful intent. The document emphasizes the challenge of anonymity, as 46% of incidents had unidentifiable authors, and recommends mandatory disclosure norms and improved detection methods to protect democratic integrity.","ai_generated":true,"unit":"ipie-000084#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI (GenAI) was utilized in the campaign phases of 80% of the countries that held competitive national elections in 2024. India and the United States were particularly prominent, with 30 documented incidents each.","ai_generated":true,"unit":"ipie-000084#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is the production of synthetic content, accounting for 90% of recorded incidents. This includes the creation of audio messages, images, videos, and social media posts designed to be realistic and misleading.","ai_generated":true,"unit":"ipie-000084#insight-2","date_modified":"2026-10-23"},{"text":"Attributing the source of GenAI content is difficult, as 46% of incidents have no identifiable author. Among those that could be traced, candidates and political parties were responsible for 25%, foreign operators for 20%, and other groups for 9%.","ai_generated":true,"unit":"ipie-000084#insight-3","date_modified":"2026-10-23"},{"text":"A majority of GenAI applications in electoral contexts are detrimental, with 69% of incidents categorized as harmful. All documented uses by foreign actors were found to have harmful intentions, such as interfering in processes or manipulating voter perception.","ai_generated":true,"unit":"ipie-000084#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively by 38% of national political parties and candidates. Examples include the use of chatbots in Japan to interact with voters and the use of GenAI for civic outreach and accessibility (16% of incidents).","ai_generated":true,"unit":"ipie-000084#insight-5","date_modified":"2026-10-23"},{"text":"Specific instances of GenAI-driven electoral interference include the invalidation of presidential election results in Romania due to coordinated manipulation, a deepfake video of a candidate withdrawing in Bangladesh, and a fake audio clip of US President Joe Biden supporting local parties in Namibia.","ai_generated":true,"unit":"ipie-000084#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["empirical analysis","global trend analysis","policy review"]},{"id":"ipie-000085","url":"https://climateinsightsdirectory.org/document/ipie-000085","title":"Генеративный ИИ в избирательных кампаниях: составление карты глобальных закономерностей","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ru","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0c994389c3a190966c3b_Final%20RU%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 incidents of GenAI use in 2024 elections across 50 countries, finding that 80% of these countries experienced GenAI-related incidents. The vast majority of use (90%) focused on content creation, and 69% of incidents were classified as harmful. A significant portion of GenAI content (46%) remains unattributed, while 20% is linked to foreign actors, all of whom were found to have harmful intentions. The document advocates for mandatory disclosure and transparency standards to protect electoral processes.","ai_generated":true,"unit":"ipie-000085#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was present in the vast majority of competitive national elections in 2024, with 80% of the 50 studied countries recording incidents. The highest volume of incidents occurred in India and the United States, with 30 incidents each.","ai_generated":true,"unit":"ipie-000085#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is the production of synthetic content, accounting for 90% of recorded incidents. This includes the creation of audio messages, images, videos, and social media posts, often used to fabricate statements or impersonate figures.","ai_generated":true,"unit":"ipie-000085#insight-2","date_modified":"2026-10-23"},{"text":"Attribution of GenAI content is frequently impossible, with 46% of incidents having an unknown source. Among known sources, political candidates and parties were responsible for 25%, while foreign actors accounted for 20%.","ai_generated":true,"unit":"ipie-000085#insight-3","date_modified":"2026-10-23"},{"text":"Most GenAI applications in the studied elections were harmful, with 69% of incidents classified as having a negative role. Notably, 100% of GenAI use attributed to foreign actors was intended to be harmful.","ai_generated":true,"unit":"ipie-000085#insight-4","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI has been used constructively by some political parties (38% of their cases were 'useful'), such as using chatbots in Japan to engage voters or creating content in local dialects to reach underserved populations.","ai_generated":true,"unit":"ipie-000085#insight-5","date_modified":"2026-10-23"},{"text":"The report highlights specific high-impact cases, such as in Romania, where coordinated GenAI and information campaigns contributed to the annulment of presidential election results.","ai_generated":true,"unit":"ipie-000085#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["incident analysis","global trend mapping","policy recommendation"]},{"id":"ipie-000086","url":"https://climateinsightsdirectory.org/document/ipie-000086","title":"الذكاء الاصطناعي التوليدي في الانتخابات: رؤى للأنماط العالمية لصانعي السياسات 2025","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ar","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0ca048177b5b2af84666_Final%20AR%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 incidents of generative AI (GenAI) use during 2024 national elections across 50 countries. It finds that 80% of these countries experienced GenAI-related incidents, with 90% of cases involving the creation of synthetic content such as audio, images, and video. Approximately 69% of these incidents were classified as harmful, often involving impersonation or disinformation. While 38% of uses were deemed useful—such as for civic outreach or simplifying communications—nearly half of all incidents (46%) came from unknown sources, complicating accountability and transparency.","ai_generated":true,"unit":"ipie-000086#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was present in the vast majority of analyzed national elections in 2024, with 80% of the 50 countries that held competitive elections recording related incidents. The highest volume of incidents occurred in India and the United States, with 30 recorded cases each.","ai_generated":true,"unit":"ipie-000086#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of generative AI in elections is content creation, accounting for 90% of recorded incidents. This includes the production of synthetic audio, images, videos, and social media posts designed to be realistic and misleading.","ai_generated":true,"unit":"ipie-000086#insight-2","date_modified":"2026-10-23"},{"text":"A significant portion of generative AI use in elections is anonymous or unattributable. In 46% of cases, the source was unknown; 25% were produced by political candidates and parties, 20% by foreign actors, and 9% by other sources such as lobby groups or individuals.","ai_generated":true,"unit":"ipie-000086#insight-3","date_modified":"2026-10-23"},{"text":"Most generative AI applications in the studied elections had a negative impact, with 69% of incidents described as playing a harmful role. Harmful uses included adversarial impersonation, automated disinformation, and the use of bots to amplify low-quality content. Notably, 100% of the GenAI use attributed to foreign actors was reported as serving harmful purposes.","ai_generated":true,"unit":"ipie-000086#insight-4","date_modified":"2026-10-23"},{"text":"Generative AI also had constructive applications in 38% of reported cases, including civic awareness (16%) and improving accessibility for marginalized or illiterate populations. For example, candidates in Japan used GenAI chatbots to interact with voters.","ai_generated":true,"unit":"ipie-000086#insight-5","date_modified":"2026-10-23"},{"text":"The report highlights specific instances where GenAI severely impacted electoral integrity, such as in Romania, where coordinated efforts to distort national elections led to the annulment of presidential election results.","ai_generated":true,"unit":"ipie-000086#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Taiwan","Japan"],"frame_perspective":[],"analysis_type":["data analysis","global assessment","policy recommendation"]},{"id":"ipie-000087","url":"https://climateinsightsdirectory.org/document/ipie-000087","title":"Generative KI in Wahlkampagnen: Kartierung globaler Muster","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"de","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0ca6fcede156eee4ac8e_Final%20DE%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 215 incidents of GenAI use in 2024 elections, finding that 80% of countries with competitive elections experienced such incidents. The majority of these cases involved content creation (90%) and were deemed harmful to the electoral process (69%). A significant portion of the sources remain unknown (46%), while political candidates (25%) and foreign actors (20%) are the primary identified sources. The document recommends transparency standards and disclosure requirements to protect electoral integrity.","ai_generated":true,"unit":"ipie-000087#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was utilized in 80% of the countries that held competitive national elections in 2024. The highest number of recorded incidents occurred in India and the United States, with 30 cases each.","ai_generated":true,"unit":"ipie-000087#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is content creation, accounting for 90% of reported incidents. This includes the production of audio messages, images, videos, and social media posts.","ai_generated":true,"unit":"ipie-000087#insight-2","date_modified":"2026-10-23"},{"text":"Attributing the source of GenAI content is difficult, as the origin was unknown in 46% of cases. Among identified sources, political candidates and parties accounted for 25%, and foreign actors accounted for 20%.","ai_generated":true,"unit":"ipie-000087#insight-3","date_modified":"2026-10-23"},{"text":"The majority of GenAI applications in elections are detrimental, with 69% of recorded incidents classified as harmful. Notably, 100% of the GenAI use attributed to foreign actors served harmful purposes.","ai_generated":true,"unit":"ipie-000087#insight-4","date_modified":"2026-10-23"},{"text":"While largely harmful, GenAI has been used constructively by some political actors. In Japan, candidates used GenAI-powered chatbots to engage with voters, and 38% of reported uses by national political parties and candidates were classified as useful.","ai_generated":true,"unit":"ipie-000087#insight-5","date_modified":"2026-10-23"},{"text":"Specific examples of harmful GenAI use include a deepfake video in Bangladesh falsely announcing a candidate's withdrawal, a manipulated video in Taiwan targeting a presidential candidate, and cloned audio of US President Joe Biden in Namibia to support local parties.","ai_generated":true,"unit":"ipie-000087#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":["data-driven analysis","mapping of global patterns"]},{"id":"ipie-000088","url":"https://climateinsightsdirectory.org/document/ipie-000088","title":"選挙キャンペーンにおける 成AI： 国際的パターンのマッピング 政策立案者向けサマリー 2025.1","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ja","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cad92d810a0f2eb7909_Final%20JP%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that 80% of countries with competitive national elections in 2024 experienced GenAI-related incidents, with 69% of these being harmful. Most incidents involved content creation, such as deepfakes, and nearly half had unknown sources. While some candidates used GenAI for positive voter outreach, the majority of use—especially by foreign actors—was deceptive or malicious.","ai_generated":true,"unit":"ipie-000088#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI (GenAI) was present in the vast majority of competitive national elections in 2024, with 80% of the 50 countries studied experiencing GenAI-related incidents. The highest number of recorded incidents occurred in India and the United States, with 30 cases each.","ai_generated":true,"unit":"ipie-000088#insight-1","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Bangladesh","Namibia"],"frame_perspective":[],"analysis_type":["empirical analysis","incident mapping","policy review"]},{"id":"ipie-000090","url":"https://climateinsightsdirectory.org/document/ipie-000090","title":"IA generativa em campanhas eleitorais: mapeamento de padrões globais","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"policy brief","language":"pt","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cbc67ee8b8ecfd81f08_Final%20PTB%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed"],"summary":{"text":"The report finds that GenAI was present in 80% of competitive national elections in 2024, primarily used for creating synthetic content like deepfakes. While some beneficial uses for civic outreach were noted, 69% of incidents were categorized as harmful. A significant portion of GenAI content (46%) remains unattributable to a known source, complicating electoral governance and transparency.","ai_generated":true,"unit":"ipie-000090#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was present in the vast majority of competitive national elections in 2024, with 80% of the 50 analyzed countries experiencing GenAI use during campaign periods. The highest volume of incidents occurred in India and the United States, with 30 incidents recorded in each.","ai_generated":true,"unit":"ipie-000090#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in elections is content creation, accounting for 90% of recorded incidents. This includes the production of synthetic audio, images, videos, and social media posts, often used to impersonate public figures or manipulate narratives.","ai_generated":true,"unit":"ipie-000090#insight-2","date_modified":"2026-10-23"},{"text":"Attributing the source of GenAI content is a major challenge, as 46% of incidents have no known source. Among identified sources, candidates and political parties accounted for 25%, while foreign actors were responsible for 20%.","ai_generated":true,"unit":"ipie-000090#insight-3","date_modified":"2026-10-23"},{"text":"Most GenAI applications in elections are detrimental, with 69% of incidents categorized as harmful. Notably, 100% of GenAI use attributed to foreign agents served harmful purposes, such as interfering in electoral processes.","ai_generated":true,"unit":"ipie-000090#insight-4","date_modified":"2026-10-23"},{"text":"There are limited but documented beneficial uses of GenAI, particularly by national candidates and parties, where 38% of their uses were categorized as beneficial. Examples include using chatbots in Japan to engage voters and using GenAI for civic outreach and accessibility (16% of incidents).","ai_generated":true,"unit":"ipie-000090#insight-5","date_modified":"2026-10-23"},{"text":"The report highlights specific high-impact cases, such as in Romania, where coordinated GenAI use contributed to the annulment of presidential election results, and in Bangladesh, where a synthetic video falsely announced a candidate's withdrawal.","ai_generated":true,"unit":"ipie-000090#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Ireland","Solomon Islands","Japan"],"frame_perspective":[],"analysis_type":[]},{"id":"ipie-000091","url":"https://climateinsightsdirectory.org/document/ipie-000091","title":"Uzalishaji wa AI katika Kampeni za Uchaguzi: Kuchora Miundo ya Ulimwenguni","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"sw","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/690a0cc4817fd01ff7f2b539_Final%20SW%20Elections%20SFP.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document analyzes the role of Generative AI in 2024 national elections across 50 countries. It finds that 80% of these countries experienced GenAI incidents, with 90% of those cases involving content creation such as audio, images, and video. A significant portion of these incidents (69%) were classified as harmful to electoral integrity, and nearly half (46%) originated from unknown sources. The report highlights specific examples of misuse in countries like Romania, Bangladesh, and Taiwan, while noting some beneficial uses in Japan. It concludes by recommending mandatory disclosure standards and increased transparency to protect democratic processes.","ai_generated":true,"unit":"ipie-000091#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Generative AI was prevalent in the majority of competitive national elections in 2024, with 80% of the 50 analyzed countries recording GenAI incidents. The highest volume of incidents occurred in India and the United States, with 30 cases recorded in each.","ai_generated":true,"unit":"ipie-000091#insight-1","date_modified":"2026-10-23"},{"text":"The primary application of GenAI in these contexts is content generation, accounting for 90% of recorded incidents. This includes the creation of synthetic audio, images, videos, and social media posts used for both authentic and misleading communication.","ai_generated":true,"unit":"ipie-000091#insight-2","date_modified":"2026-10-23"},{"text":"A large proportion of GenAI content sources are anonymous, with 46% of cases having no identifiable source. Among identified sources, political candidates and parties accounted for 25%, while foreign actors accounted for 20%.","ai_generated":true,"unit":"ipie-000091#insight-3","date_modified":"2026-10-23"},{"text":"Most GenAI applications in elections were deemed harmful, with 69% of incidents described as playing a negative role in the electoral process. Notably, 100% of reported GenAI use by foreign actors was classified as having harmful objectives.","ai_generated":true,"unit":"ipie-000091#insight-4","date_modified":"2026-10-23"},{"text":"GenAI has been used to disrupt specific national elections, such as in Romania, where coordinated AI efforts contributed to the annulment of presidential election results. Other examples include deepfake videos in Bangladesh and Taiwan, and fake audio of US President Joe Biden in Namibia.","ai_generated":true,"unit":"ipie-000091#insight-5","date_modified":"2026-10-23"},{"text":"While predominantly harmful, GenAI also had constructive applications; 38% of reported use by national political parties and candidates was classified as beneficial. For example, candidates in Japan used GenAI chatbots to engage voters and answer basic questions.","ai_generated":true,"unit":"ipie-000091#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["India","United States","Romania","Bangladesh","Taiwan","Namibia","Solomon Islands","Japan","Switzerland"],"frame_perspective":[],"analysis_type":["data-driven analysis","global assessment","policy recommendation"]},{"id":"ipie-000098","url":"https://climateinsightsdirectory.org/document/ipie-000098","title":"2025 年全球信息环境专家 调查： 保障认知安全","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"vi","date_published":"2025","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/69f477a1fb36421adeccb464_Expert%20Survey%202025%20SPF%20Final%20Chinese.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2025 IPIE expert survey reveals growing pessimism about the global information environment, with 72% of respondents expecting it to worsen. The report highlights a 'chilling effect' on researchers, the complex dual role of social media in promoting political participation while increasing polarization, and a strong expert consensus on the need for clear labeling of AI-generated content and regular algorithmic audits to safeguard cognitive security.","ai_generated":true,"unit":"ipie-000098#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Social media has a contradictory impact on society: while 88% of experts believe it exacerbates social polarization, 61% acknowledge that it promotes political participation. In contrast, 80% of respondents view search engines as having an overall positive effect, particularly when compared to AI and recommendation systems.","ai_generated":true,"unit":"ipie-000098#insight-1","date_modified":"2026-10-23"},{"text":"Researchers studying the information environment are experiencing a significant 'chilling effect' and institutional barriers. Approximately 73% of experts report experiencing harassment, interference, or self-censorship. Specifically, 34% admit to self-censoring on social media due to professional concerns (rising to 40% for experts in developing countries), and 23% fear the loss of research funding or have suffered harassment and doxing.","ai_generated":true,"unit":"ipie-000098#insight-2","date_modified":"2026-10-23"},{"text":"There is a strong expert consensus on policy measures for the AI era to ensure cognitive security. 60% of experts recommend that AI-generated content must be clearly labeled, and over 75% agree that algorithms should be audited regularly to identify and reduce bias.","ai_generated":true,"unit":"ipie-000098#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Western Europe","Brazil","People's Republic of China","Kenya","India","Mexico"],"frame_perspective":[],"analysis_type":["expert survey","executive summary"]}]}