{"query_echo":{"q":"","filters":{"organization":["International Panel on the Information Environment"]},"warnings":[]},"total":{"value":105,"relation":"eq"},"page":4,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?organization=international-panel-on-the-information-environment&page=4","next":"https://climateinsightsdirectory.org/api/v1/search?organization=international-panel-on-the-information-environment&page=5","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-000026","url":"https://climateinsightsdirectory.org/document/ipie-000026","title":"Submission to the OECD Draft Recommendation on Information Integrity","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"statement","language":"en","date_published":"2024","source_url":"https://www.ipie.info/research/tp2024-3","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) submits recommendations to the OECD to strengthen information integrity. Key proposals include requiring online platforms to grant independent researchers access to data and systems, promoting innovative funding for independent media to ensure diversity of ownership, and implementing more stringent industry standards for the provenance of generative AI content. The IPIE also suggests that governments take enforcement actions and impose sanctions when disinformation poses significant risks to human rights and democratic processes, while advising the removal of language focusing on 'malicious intent' due to the difficulty of proof.","ai_generated":true,"unit":"ipie-000026#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A healthy information environment is primarily characterized by the availability of accurate information, a diversity of voices, and a diversity of media ownership.","ai_generated":true,"unit":"ipie-000026#insight-1","date_modified":"2026-10-23"},{"text":"Access to data for researching the information environment is a major challenge, particularly for researchers in the Global South, necessitating a requirement for platforms to grant independent researchers access to data, algorithmic systems, and content moderation procedures.","ai_generated":true,"unit":"ipie-000026#insight-2","date_modified":"2026-10-23"},{"text":"Regarding user empowerment and social resilience, the most effective methods are the use of corrective information and content labelling.","ai_generated":true,"unit":"ipie-000026#insight-3","date_modified":"2026-10-23"},{"text":"Generative AI is viewed negatively by a majority of experts, with 63% stating that AI-generated text, images, voices, and videos have had a negative impact on the global information environment, and many expressing concern over the amplification of harassment and biases.","ai_generated":true,"unit":"ipie-000026#insight-4","date_modified":"2026-10-23"},{"text":"The IPIE argues that identifying and labelling bots is insufficient; instead, governments should be encouraged to impose sanctions and take mitigation actions when disinformation carries significant risks to human rights and the democratic process.","ai_generated":true,"unit":"ipie-000026#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Eastern Europe","sub-Saharan Africa"],"frame_perspective":[],"analysis_type":["policy recommendation"]},{"id":"ipie-000052","url":"https://climateinsightsdirectory.org/document/ipie-000052","title":"Enquête d'experts sur l'environnement mondial de l'information 2024 Recherche de solutions Résumé 2024.1 à l'intention des décideurs politiques","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"fr","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/673c7f1cb89e896acf65d01c_SFP2024.1%20-%20FINAL-3_FR.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2024 IPIE expert survey reveals a growing pessimism about the global information environment, with 63% of experts expecting it to deteriorate. The availability of accurate information and diversity of voices are identified as the most critical characteristics of a healthy information environment. Social media platform owners, governments, and politicians are cited as the primary threats. While generative AI is viewed as a tool that could improve content detection and journalism, experts are more concerned about its potential to amplify disinformation, harassment, and bias.","ai_generated":true,"unit":"ipie-000052#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Experts identify the availability of accurate information, diversity of voices, and diversity of media ownership as the most essential characteristics of a healthy information environment, with 65% specifically prioritizing accurate information.","ai_generated":true,"unit":"ipie-000052#insight-1","date_modified":"2026-10-23"},{"text":"There is an increasing trend of pessimism regarding the future of the information environment; 63% of respondents expect it to degrade, an increase from 54% in the previous survey.","ai_generated":true,"unit":"ipie-000052#insight-2","date_modified":"2026-10-23"},{"text":"Social media platform owners are regarded as the most significant threat to the information environment, followed closely by governments, politicians, and political parties.","ai_generated":true,"unit":"ipie-000052#insight-3","date_modified":"2026-10-23"},{"text":"Generative AI is perceived as a double-edged sword: 63% of experts believe AI-generated content has already negatively impacted the global information environment, and 63% fear it will perpetuate biases, amplify harassment, and increase disinformation.","ai_generated":true,"unit":"ipie-000052#insight-4","date_modified":"2026-10-23"},{"text":"Despite concerns, 67% of experts hope generative AI will benefit the information environment by improving content detection, facilitating journalism, and enhancing intercultural communication.","ai_generated":true,"unit":"ipie-000052#insight-5","date_modified":"2026-10-23"},{"text":"Experts from developing countries express higher levels of concern regarding the negative effects of generative AI and specific platforms like messaging apps compared to experts from developed countries, though they are more optimistic about interventions like media education and fact-checking.","ai_generated":true,"unit":"ipie-000052#insight-6","date_modified":"2026-10-23"},{"text":"Significant barriers to studying the information environment persist, with 75% of researchers identifying data access as a major challenge.","ai_generated":true,"unit":"ipie-000052#insight-7","date_modified":"2026-10-23"},{"text":"To improve the information environment, 77% of experts support the promotion of free and independent media.","ai_generated":true,"unit":"ipie-000052#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Brazil","Chile","Nigeria","India","People's Republic of China","Western Europe","Eastern Europe","sub-Saharan Africa"],"frame_perspective":[],"analysis_type":["expert survey"]},{"id":"ipie-000053","url":"https://climateinsightsdirectory.org/document/ipie-000053","title":"Encuesta de 2024 a expertos sobre el entorno global de la información","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"es","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/673c7f1f6fa28abaf7321211_SFP2024.1%20-%20FINAL-3_ES.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2024 IPIE expert survey reveals a growing pessimism about the global information environment, with 63% of experts expecting it to worsen. The availability of accurate information and diversity of voices are identified as the most critical characteristics of a healthy environment. Social media platform owners, governments, and politicians are cited as the primary threats. While generative AI is viewed as a tool that could improve content detection and journalism, experts are predominantly concerned that it will amplify disinformation, harassment, and bias. Experts advocate for supporting free and independent media and digital media literacy to build resilience.","ai_generated":true,"unit":"ipie-000053#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Experts identify the availability of accurate information (65%), diversity of voices (42%), and diversity of media ownership (33%) as the most essential characteristics of a healthy information environment.","ai_generated":true,"unit":"ipie-000053#insight-1","date_modified":"2026-10-23"},{"text":"There is an increasing trend of pessimism regarding the future of the information environment; 63% of respondents expect it to worsen, compared to 54% in the previous year's survey.","ai_generated":true,"unit":"ipie-000053#insight-2","date_modified":"2026-10-23"},{"text":"The most significant threats to the information environment are identified as social media platform owners, followed by governments, politicians, and political parties.","ai_generated":true,"unit":"ipie-000053#insight-3","date_modified":"2026-10-23"},{"text":"Generative AI is perceived as a dual-edged tool: 63% of experts believe it has already had a negative impact on the global information environment, and 53% expect a negative impact over the next five years.","ai_generated":true,"unit":"ipie-000053#insight-4","date_modified":"2026-10-23"},{"text":"Specific concerns regarding generative AI include the potential to perpetuate biases, amplify harassment, and increase the scale and persuasiveness of disinformation, a view shared by 63% of experts.","ai_generated":true,"unit":"ipie-000053#insight-5","date_modified":"2026-10-23"},{"text":"Despite concerns, 67% of experts believe generative AI could provide benefits, such as improving content detection, facilitating journalism, enhancing intercultural communication, and increasing the persuasiveness of reliable information.","ai_generated":true,"unit":"ipie-000053#insight-6","date_modified":"2026-10-23"},{"text":"To improve the information environment, 77% of experts support the promotion of free and independent media, alongside digital media literacy campaigns, fact-checking, and content labeling.","ai_generated":true,"unit":"ipie-000053#insight-7","date_modified":"2026-10-23"},{"text":"Researchers face significant barriers in studying the information environment, with 75% citing data access as a major challenge.","ai_generated":true,"unit":"ipie-000053#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Brazil","Chile","Nigeria","India","People's Republic of China","Western Europe","Eastern Europe","sub-Saharan Africa","Switzerland"],"frame_perspective":[],"analysis_type":["expert survey","policy summary"]},{"id":"ipie-000054","url":"https://climateinsightsdirectory.org/document/ipie-000054","title":"Опрос экспертов о глобальной информационной среде, 2024 г. Поиск решений","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"policy brief","language":"ru","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/673c7f24757d3f3b9e930dee_SFP2024.1%20-%20FINAL-3_RU.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2024 IPIE expert survey reveals a growing pessimism about the global information environment, with 63% of respondents expecting conditions to worsen. Experts identify the availability of accurate information and diversity of opinion as the most critical characteristics of a healthy environment, while naming social media owners, governments, and politicians as the primary threats. Generative AI is viewed with mixed sentiment: 63% of experts believe it has negatively impacted the environment by scaling disinformation and bias, though 67% hope it will improve content detection and journalistic efficiency. To improve the environment, experts advocate for free and independent media and increased digital media literacy.","ai_generated":true,"unit":"ipie-000054#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Experts identify the most critical characteristics of a healthy information environment as the availability of accurate information (65%), diversity of opinions (42%), and diversity of media ownership (33%).","ai_generated":true,"unit":"ipie-000054#insight-1","date_modified":"2026-10-23"},{"text":"There is an increasing trend of pessimism regarding the future of the information environment; 63% of respondents expect it to deteriorate, compared to 54% in the 2023 survey.","ai_generated":true,"unit":"ipie-000054#insight-2","date_modified":"2026-10-23"},{"text":"The most significant threats to the information environment are identified as social media owners, followed by local authorities, national and foreign governments, and politicians or parties.","ai_generated":true,"unit":"ipie-000054#insight-3","date_modified":"2026-10-23"},{"text":"Generative AI is perceived as a double-edged tool: 63% of experts believe it has negatively impacted the global information environment and 53% expect negative effects over the next five years, primarily through the preservation of bias and the scaling of harassment and disinformation.","ai_generated":true,"unit":"ipie-000054#insight-4","date_modified":"2026-10-23"},{"text":"Despite concerns, 67% of experts hope generative AI will enhance content detection, assist journalists, improve cross-cultural and cross-modal communication, and increase the persuasiveness of accurate information.","ai_generated":true,"unit":"ipie-000054#insight-5","date_modified":"2026-10-23"},{"text":"Researchers face significant barriers in studying the information environment, with 75% citing data access as a primary problem, and a call for more multidisciplinary, multi-platform, and multicultural research.","ai_generated":true,"unit":"ipie-000054#insight-6","date_modified":"2026-10-23"},{"text":"To improve the information environment, 77% of experts support the promotion of free and independent media, alongside digital media literacy campaigns and content fact-checking/labeling.","ai_generated":true,"unit":"ipie-000054#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Western Europe","Brazil","Chile","Nigeria","India","People's Republic of China","Eastern Europe","sub-Saharan Africa","Switzerland"],"frame_perspective":[],"analysis_type":["expert survey","policy analysis"]},{"id":"ipie-000056","url":"https://climateinsightsdirectory.org/document/ipie-000056","title":"Befragung von Expert*innen zur globalen Informationslandschaft 2024 Auf der Suche nach Lösungen","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"de","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/673c7f2bda1d443f814e37d6_SFP2024.1%20-%20FINAL-3_DE.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2024 IPIE expert survey indicates a growing pessimism about the global information landscape, with 63% of respondents expecting it to deteriorate. Experts identify the availability of reliable information and diversity of voices as essential for a healthy landscape, while naming social media platform owners and governments as the primary threats. Generative AI is viewed with mixed sentiment: while 67% hope it can improve content detection and journalism, 63% fear it will amplify biases, harassment, and misinformation. The report calls for support of independent media and improved data access for cross-platform, multidisciplinary research.","ai_generated":true,"unit":"ipie-000056#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There is a growing consensus among experts that the global information landscape is declining, with 63% of respondents expecting it to worsen in the future, an increase from 54% in the previous survey.","ai_generated":true,"unit":"ipie-000056#insight-1","date_modified":"2026-10-23"},{"text":"The most critical characteristics of a healthy information landscape are the availability of reliable information (cited by 65% of experts), diversity of voices (42%), and diversity of media ownership (33%).","ai_generated":true,"unit":"ipie-000056#insight-2","date_modified":"2026-10-23"},{"text":"Social media platform owners are identified as the greatest threat to the information landscape, followed closely by local, national, and foreign governments, politicians, and political parties.","ai_generated":true,"unit":"ipie-000056#insight-3","date_modified":"2026-10-23"},{"text":"Experts hold conflicting views on generative AI: 63% believe AI-generated content will have negative effects and fear the amplification of biases, harassment, and misinformation, while 67% hope it will enhance content detection, journalism, and the persuasiveness of reliable information.","ai_generated":true,"unit":"ipie-000056#insight-4","date_modified":"2026-10-23"},{"text":"Researchers in developing countries express greater concern regarding the negative impacts of generative AI and specific threats from messaging apps, social media apps, and national politicians compared to experts in industrialized countries, though they are more optimistic about the efficacy of media literacy and fact-checking.","ai_generated":true,"unit":"ipie-000056#insight-5","date_modified":"2026-10-23"},{"text":"Significant barriers to researching the information landscape persist, with three-quarters of scientists citing data access as a major challenge; there is a call for more multidisciplinary, cross-platform, and multicultural research.","ai_generated":true,"unit":"ipie-000056#insight-6","date_modified":"2026-10-23"},{"text":"To improve the information landscape, 77% of experts advocate for the support of free and independent media, alongside campaigns for digital media literacy, fact-checking, and content labeling.","ai_generated":true,"unit":"ipie-000056#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Western Europe","Brazil","Chile","Nigeria","India","People's Republic of China","Eastern Europe","sub-Saharan Africa","Switzerland"],"frame_perspective":[],"analysis_type":["expert survey","meta-analysis"]},{"id":"ipie-000058","url":"https://climateinsightsdirectory.org/document/ipie-000058","title":"2024 글로벌 정보 환경에 대한 전문가 설문 조사 솔루션 검색 정책 입안자를 위한 요약본 2024.1","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ko","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/673c7f36fe3f45d7549386f7_SFP2024.1%20-%20FINAL-3_KO.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2024 IPIE expert survey reveals a growing pessimism about the global information environment, with 63% of respondents expecting it to worsen. Experts identify the availability of accurate information and diversity of voices as the most critical features of a healthy environment, while naming social media platform owners and governments as the primary threats. Generative AI is viewed as a double-edged sword: 63% of experts fear it will amplify bias and misinformation, although 67% see potential for improving content discovery and journalism. The report emphasizes the need for supporting independent media and overcoming data access barriers for researchers.","ai_generated":true,"unit":"ipie-000058#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There is a strong consensus among experts that the most essential characteristics of a healthy information environment are the availability of accurate information (65%), diversity of voices (42%), and diversity of media ownership (33%).","ai_generated":true,"unit":"ipie-000058#insight-1","date_modified":"2026-10-23"},{"text":"Expert pessimism regarding the future of the information environment has increased, with 63% of respondents expecting it to deteriorate, compared to 54% in the previous survey.","ai_generated":true,"unit":"ipie-000058#insight-2","date_modified":"2026-10-23"},{"text":"Social media platform owners are identified as the greatest threat to the information environment, followed by local, national, and foreign governments, as well as politicians and political parties.","ai_generated":true,"unit":"ipie-000058#insight-3","date_modified":"2026-10-23"},{"text":"Generative AI is perceived as both a risk and an opportunity: 63% of experts worry it will perpetuate bias, amplify harassment, and increase the volume and persuasiveness of misinformation, while 67% believe it could improve content search, promote journalism, and enhance cross-cultural communication.","ai_generated":true,"unit":"ipie-000058#insight-4","date_modified":"2026-10-23"},{"text":"Regarding specific AI modalities, experts are most concerned about the negative impacts of AI-generated video and least concerned about AI-generated text.","ai_generated":true,"unit":"ipie-000058#insight-5","date_modified":"2026-10-23"},{"text":"Experts from developing countries generally express higher levels of concern regarding the negative impacts of generative AI and the threats posed by specific platforms and actors compared to experts from developed countries.","ai_generated":true,"unit":"ipie-000058#insight-6","date_modified":"2026-10-23"},{"text":"To improve the information environment, 77% of experts support the promotion of free and independent media, alongside digital media literacy campaigns, fact-checking, and content labeling.","ai_generated":true,"unit":"ipie-000058#insight-7","date_modified":"2026-10-23"},{"text":"Researchers face significant barriers to studying the information environment, with three-quarters of respondents citing data access as a primary challenge.","ai_generated":true,"unit":"ipie-000058#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Brazil","Chile","Nigeria","India","People's Republic of China","Western Europe","Eastern Europe","sub-Saharan Africa","Switzerland"],"frame_perspective":[],"analysis_type":["expert survey"]},{"id":"ipie-000059","url":"https://climateinsightsdirectory.org/document/ipie-000059","title":"Consulta a Especialistas sobre o Ambiente Global da Informação 2024 À procura de soluções","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"pt","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/673c7f3ad96e46f7838924d3_SFP2024.1%20-%20FINAL-3_PT.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2024 IPIE expert consultation reveals a growing pessimism about the global information environment, with 63% of researchers expecting it to worsen. Experts identify the availability of accurate information and diversity of voices as the most critical characteristics of a healthy information environment. The owners of social media platforms, governments, and politicians are cited as the most significant threats. Generative AI is viewed with mixed sentiment: while 63% of experts fear it will amplify disinformation, harassment, and bias, 67% hope it will improve content detection and journalism. Experts advocate for free and independent media, digital literacy, and improved data access for multi-disciplinary research.","ai_generated":true,"unit":"ipie-000059#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Experts identify the most critical elements of a healthy information environment as the availability of accurate information (cited by 65%), diversity of voices (42%), and diversity of media ownership (33%).","ai_generated":true,"unit":"ipie-000059#insight-1","date_modified":"2026-10-23"},{"text":"There is an increasing trend of pessimism regarding the future of the information environment; 63% of respondents expect it to worsen, an increase from 54% in the previous year's consultation.","ai_generated":true,"unit":"ipie-000059#insight-2","date_modified":"2026-10-23"},{"text":"The most significant threats to the information environment are identified as social media platform owners, followed by governments, politicians, and political parties.","ai_generated":true,"unit":"ipie-000059#insight-3","date_modified":"2026-10-23"},{"text":"Generative AI is perceived as both a risk and an opportunity: 63% of experts believe it has already negatively impacted the global information environment, and 53% believe it will continue to do so over the next five years.","ai_generated":true,"unit":"ipie-000059#insight-4","date_modified":"2026-10-23"},{"text":"Specific concerns regarding generative AI include its potential to increase the volume, personalization, and persuasiveness of disinformation, as well as its role in amplifying harassment and perpetuating biases.","ai_generated":true,"unit":"ipie-000059#insight-5","date_modified":"2026-10-23"},{"text":"Despite the risks, 67% of experts are hopeful that generative AI can be used to facilitate journalism, improve intercultural and intermodal communication, enhance content detection, and increase the persuasiveness of reliable information.","ai_generated":true,"unit":"ipie-000059#insight-6","date_modified":"2026-10-23"},{"text":"Experts from developing countries express greater concern over the negative effects of generative AI and specific platforms (such as messaging and social media apps) compared to experts from developed countries, though they are more optimistic about interventions like fact-checking and media literacy.","ai_generated":true,"unit":"ipie-000059#insight-7","date_modified":"2026-10-23"},{"text":"To improve the information environment, 77% of experts support the existence of free and independent media, alongside digital literacy campaigns, fact-checking, and content labeling.","ai_generated":true,"unit":"ipie-000059#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["Western Europe","Brazil","Chile","Nigeria","India","People's Republic of China","Eastern Europe","sub-Saharan Africa","Switzerland"],"frame_perspective":[],"analysis_type":["expert survey","executive summary"]},{"id":"ipie-000060","url":"https://climateinsightsdirectory.org/document/ipie-000060","title":"Utafiti wa Wataalamu kuhusu Mazingira ya Taarifa za Kimataifa 2024 Kutafuta Masuluhisho","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"sw","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/673c7f3dde071b4fa18815c1_SFP2024.1%20-%20FINAL-3_SW.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2024 IPIE expert survey reveals a growing pessimism about the global information environment, with 63% of respondents expecting it to worsen. Experts identify access to accurate information and diverse voices as critical for a healthy environment, while viewing social media owners, governments, and politicians as the primary threats. Generative AI is viewed with mixed sentiment: 63% fear it will increase bias and misinformation, while 67% hope it will improve content discovery and journalism. The report advocates for supporting independent media and improving data access for researchers.","ai_generated":true,"unit":"ipie-000060#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Experts identify the most critical components of a healthy information environment as the availability of accurate information (cited by 65% of respondents), a diversity of voices (42%), and diverse media ownership (33%).","ai_generated":true,"unit":"ipie-000060#insight-1","date_modified":"2026-10-23"},{"text":"There is an increasing trend of pessimism regarding the future of the information environment; 63% of those surveyed expect it to deteriorate, an increase from 54% in the previous survey.","ai_generated":true,"unit":"ipie-000060#insight-2","date_modified":"2026-10-23"},{"text":"Social media platform owners are perceived as the greatest threat to the information environment, followed closely by local, national, and foreign governments, as well as politicians and political parties.","ai_generated":true,"unit":"ipie-000060#insight-3","date_modified":"2026-10-23"},{"text":"Generative AI is viewed as both a risk and an opportunity: 63% of experts believe it promotes bias, harassment, and misinformation, while 67% believe it could enhance content discovery, journalism, and the influence of reliable information.","ai_generated":true,"unit":"ipie-000060#insight-4","date_modified":"2026-10-23"},{"text":"Experts in developing countries express higher levels of concern regarding the negative impacts of generative AI compared to those in developed countries, particularly concerning messaging apps, social media platforms, and the actions of politicians.","ai_generated":true,"unit":"ipie-000060#insight-5","date_modified":"2026-10-23"},{"text":"Researchers face significant obstacles in studying the information environment, with three-quarters of respondents identifying data access as a primary challenge.","ai_generated":true,"unit":"ipie-000060#insight-6","date_modified":"2026-10-23"},{"text":"To improve the information environment, 77% of experts strongly prefer or prefer supporting independent and autonomous media, alongside digital media literacy campaigns, fact-checking, and content labeling.","ai_generated":true,"unit":"ipie-000060#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["United States","Brazil","Chile","Nigeria","India","People's Republic of China","Western Europe","Eastern Europe","sub-Saharan Africa","Switzerland"],"frame_perspective":[],"analysis_type":["expert survey","policy summary"]},{"id":"ipie-000061","url":"https://climateinsightsdirectory.org/document/ipie-000061","title":"Résumé à l'intention des décideurs politiques 2024.2 Recommandations pour un cadre mondial d'audit de l'IA Résumé des normes et des caractéristiques","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"fr","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd273e749aac0d53c5fde_FR.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 a global framework for AI auditing to address the lack of consistent standards and the risk of AI perpetuating biases and environmental harm. The framework outlines seven key characteristics for effective audits: scope, auditor role, stakeholder engagement, context-adapted criteria, evidence requirements, methodology, and post-audit activities. It emphasizes the need for auditor independence, transparency of results, and the inclusion of marginalized communities, particularly those in the 'majority world', to mitigate systemic harms and protect human rights.","ai_generated":true,"unit":"ipie-000061#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Current AI auditing practices are insufficient because they rarely utilize independent auditors, fail to provide adequate evidence, and often ignore global impacts, particularly those affecting the 'majority world' through human rights violations, labor exploitation, and environmental degradation.","ai_generated":true,"unit":"ipie-000061#insight-1","date_modified":"2026-10-23"},{"text":"A reliable global AI auditing framework must establish common standards and procedures, ensure auditor independence and qualifications, guarantee access to evidence, maintain transparent results, and evaluate disparate global impacts.","ai_generated":true,"unit":"ipie-000061#insight-2","date_modified":"2026-10-23"},{"text":"The proposed framework identifies seven essential characteristics for AI audits: the scope of the audit, the role of the auditor, stakeholder engagement mechanisms, context-adapted audit criteria, evidence requirements, audit methods, and comprehensive post-audit activities.","ai_generated":true,"unit":"ipie-000061#insight-3","date_modified":"2026-10-23"},{"text":"Audit criteria must be precise and observable, incorporating stakeholder input to assess risks such as data privacy, indigenous and collective data sovereignty, fair labor practices (including protection against algorithmic management), and environmental impacts like greenhouse gas emissions and e-waste.","ai_generated":true,"unit":"ipie-000061#insight-4","date_modified":"2026-10-23"},{"text":"Effective audit methodology requires a combination of performance testing—rather than relying solely on provided documentation—documentary analysis, and participatory methods including field visits and interviews with development staff and contract workers.","ai_generated":true,"unit":"ipie-000061#insight-5","date_modified":"2026-10-23"},{"text":"Post-audit requirements include making results public via open-access journals or public repositories and providing a point of contact for stakeholders to challenge system aspects or request further information.","ai_generated":true,"unit":"ipie-000061#insight-6","date_modified":"2026-10-23"}],"climate_tags":["human rights","greenhouse gas emissions","carbon footprint"],"geography_discussed":["North America","Europe","New York City"],"frame_perspective":[],"analysis_type":["policy recommendation","framework development"]},{"id":"ipie-000062","url":"https://climateinsightsdirectory.org/document/ipie-000062","title":"Resumen para los responsables políticos 2024.2 Recomendaciones para un marco global de auditoría de la IA Resumen de normas y características","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"es","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd2763b599aad48f544ee_ES.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) outlines a global AI auditing framework designed to address the lack of common standards and the tendency of current audits to overlook global disparities. The framework is built on seven core characteristics: audit scope, auditor role, stakeholder engagement, context-adapted criteria, evidence requirements, auditing methodologies, and post-audit activities. It emphasizes the need for independent auditors with access to comprehensive evidence and the inclusion of marginalized communities to prevent human rights violations and environmental degradation.","ai_generated":true,"unit":"ipie-000062#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Current AI auditing practices are fragmented and often fail to account for global impacts, as most audits are conducted by actors in North America and Europe, potentially ignoring human rights violations, labor exploitation, and environmental degradation in other parts of the world.","ai_generated":true,"unit":"ipie-000062#insight-1","date_modified":"2026-10-23"},{"text":"The proposed global framework identifies seven essential characteristics for effective AI auditing: the scope of the audit, the role of the auditor, stakeholder participation mechanisms, context-adapted audit criteria, evidence requirements, auditing methodologies, and comprehensive post-audit activities.","ai_generated":true,"unit":"ipie-000062#insight-2","date_modified":"2026-10-23"},{"text":"Audit criteria must be precise, observable, and contextual, incorporating stakeholder input to address specific risks such as indigenous and collective data sovereignty, fair labor practices (including protection from algorithmic management), and environmental impacts like greenhouse gas emissions and e-waste.","ai_generated":true,"unit":"ipie-000062#insight-3","date_modified":"2026-10-23"},{"text":"To ensure reliability, auditors must be independent and qualified, with guaranteed access to comprehensive evidence—such as model cards and data sheets—and the results of these audits should be made public via open-access journals or public repositories to ensure accountability.","ai_generated":true,"unit":"ipie-000062#insight-4","date_modified":"2026-10-23"},{"text":"The auditing methodology should move beyond relying on provided documentation to include active performance testing, documentary analysis, testimonial evidence, and field visits to capture long-term systemic repercussions.","ai_generated":true,"unit":"ipie-000062#insight-5","date_modified":"2026-10-23"}],"climate_tags":["human rights","greenhouse gas emissions","carbon footprint"],"geography_discussed":["North America","Europe","New York City","Switzerland"],"frame_perspective":[],"analysis_type":["policy recommendation","framework proposal"]},{"id":"ipie-000063","url":"https://climateinsightsdirectory.org/document/ipie-000063","title":"Резюме для политиков 2024.2 Рекомендации по созданию глобальной системы аудита ИИ","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"policy brief","language":"ru","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd27a1ae73ec3a67007ca_RU.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) recommends a comprehensive global AI auditing system to address the risks of bias, inequality, and environmental harm. The proposed framework emphasizes the need for independent auditors, transparent results, and a context-sensitive approach that includes diverse stakeholders and considers global impacts, particularly on marginalized communities.","ai_generated":true,"unit":"ipie-000063#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Current AI auditing practices are fragmented and often fail to account for global impacts, as most audits are conducted in Europe and North America, potentially overlooking human rights violations, labor exploitation, and environmental degradation in other regions.","ai_generated":true,"unit":"ipie-000063#insight-1","date_modified":"2026-10-23"},{"text":"An effective global AI auditing system must be built on five core pillars: common standards and procedures, auditor independence and qualification, access to evidence, transparency of results, and the assessment of disparate global impacts.","ai_generated":true,"unit":"ipie-000063#insight-2","date_modified":"2026-10-23"},{"text":"The proposed framework identifies seven key features for AI audits: audit scope, the role of the auditor, stakeholder engagement mechanisms, context-appropriate audit criteria, evidence requirements, audit methodologies, and comprehensive post-audit activities.","ai_generated":true,"unit":"ipie-000063#insight-3","date_modified":"2026-10-23"},{"text":"Audit criteria must be multidisciplinary, covering technical performance (accuracy, reliability, safety), data ethics (privacy, indigenous data sovereignty), labor practices (fair compensation, protection from algorithmic management), and environmental impact (energy and water consumption, greenhouse gas emissions, and e-waste).","ai_generated":true,"unit":"ipie-000063#insight-4","date_modified":"2026-10-23"},{"text":"To ensure validity, auditors should not rely solely on developer documentation but must perform performance tests, conduct interviews, and use broad participation methods to evaluate how people interact with AI in daily life.","ai_generated":true,"unit":"ipie-000063#insight-5","date_modified":"2026-10-23"},{"text":"Post-audit transparency is critical; results should be published in accessible media, peer-reviewed journals, or public repositories to allow stakeholders to hold developers accountable and to inform regulatory or legal systems.","ai_generated":true,"unit":"ipie-000063#insight-6","date_modified":"2026-10-23"}],"climate_tags":["human rights","carbon footprint","greenhouse gas emissions"],"geography_discussed":["North America","Europe","New York City"],"frame_perspective":[],"analysis_type":["policy recommendation","framework development"]},{"id":"ipie-000064","url":"https://climateinsightsdirectory.org/document/ipie-000064","title":"توصيات بشأن الإطار العالمي لعمليات التدقيق في الذكاء الاصطناعي","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ar","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd27eb0bdd0052996d41c_AR.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) presents a global framework for AI auditing designed to mitigate systemic harms, including bias, inequality, and environmental damage. The framework outlines seven key features: audit scope, the auditor's role, stakeholder engagement, context-specific criteria, evidence requirements, auditing methodologies, and post-audit activities. It emphasizes the need for auditor independence, public transparency of results, and the inclusion of marginalized communities, particularly in the Global South, to address disproportionate impacts of AI technologies.","ai_generated":true,"unit":"ipie-000064#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The proposed global framework identifies seven essential features for effective AI auditing: audit scope, the role of the auditor, stakeholder engagement mechanisms, context-appropriate criteria, evidence requirements, auditing methodologies, and comprehensive post-audit activities.","ai_generated":true,"unit":"ipie-000064#insight-1","date_modified":"2026-10-23"},{"text":"Auditing criteria must be specific and observable, incorporating stakeholder concerns and addressing diverse risks such as data privacy, indigenous data sovereignty, fair labor practices, and environmental impacts including carbon footprints and e-waste.","ai_generated":true,"unit":"ipie-000064#insight-2","date_modified":"2026-10-23"},{"text":"Effective auditing requires a combination of performance testing, documentary analysis, and stakeholder engagement, moving beyond a sole reliance on documentation provided by the entity being audited.","ai_generated":true,"unit":"ipie-000064#insight-3","date_modified":"2026-10-23"},{"text":"Post-audit transparency is critical; results should be publicly available via news media, peer-reviewed journals, or public repositories to enable regulatory enforcement and independent accountability.","ai_generated":true,"unit":"ipie-000064#insight-4","date_modified":"2026-10-23"}],"climate_tags":["human rights","carbon footprint","transparency"],"geography_discussed":["New York City","Switzerland"],"frame_perspective":[],"analysis_type":["policy recommendation","framework proposal"]},{"id":"ipie-000065","url":"https://climateinsightsdirectory.org/document/ipie-000065","title":"Empfehlungen für einen globalen Prüfrahmen für KI-Systeme","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"de","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd282a03244763b7b5e3e_DE.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) presents a global AI auditing framework designed to address the lack of uniform standards and the failure of current audits to account for global inequalities. The framework consists of seven key characteristics: audit scope, auditor role, stakeholder engagement, context-dependent criteria, evidence requirements, methodology, and post-audit measures. It emphasizes the need for auditor independence, transparent results, and the inclusion of marginalized communities to prevent AI from perpetuating biases, labor exploitation, and environmental degradation.","ai_generated":true,"unit":"ipie-000065#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Current AI auditing practices are highly heterogeneous and lack uniform standards, making it difficult to ensure consistent quality and accountability. Most audits are conducted in North America and Europe, often overlooking the disproportionate negative impacts of AI on the global population, such as human rights violations and labor exploitation.","ai_generated":true,"unit":"ipie-000065#insight-1","date_modified":"2026-10-23"},{"text":"A trustworthy and effective auditing system requires five core elements: uniform norms and procedures, qualified and independent auditors, guaranteed access to evidence, transparent results, and methods that account for unequal global impacts.","ai_generated":true,"unit":"ipie-000065#insight-2","date_modified":"2026-10-23"},{"text":"The proposed framework defines seven essential characteristics for AI audits: the scope of the audit, the role of the auditor, mechanisms for stakeholder inclusion, context-dependent criteria, evidence requirements, audit methodology, and comprehensive post-audit measures.","ai_generated":true,"unit":"ipie-000065#insight-3","date_modified":"2026-10-23"},{"text":"Audit criteria must be precise and context-specific, covering diverse areas such as AI performance (accuracy, fairness, robustness), data sovereignty (indigenous and collective rights), fair labor practices (compensation, protection from algorithmic management), and environmental impact (energy/water consumption, greenhouse gas emissions, and e-waste).","ai_generated":true,"unit":"ipie-000065#insight-4","date_modified":"2026-10-23"},{"text":"Effective auditing requires a mixed-methodology approach. Auditors must not rely solely on documentation provided by the audited entity but must conduct independent performance and scenario tests, gather testimonies, perform on-site visits, and use participatory methods to assess real-world user interaction.","ai_generated":true,"unit":"ipie-000065#insight-5","date_modified":"2026-10-23"},{"text":"Post-audit transparency is critical; reports must be publicly accessible via news media, peer-reviewed journals, or public archives. They should include a contact point for stakeholders to challenge AI system aspects and provide a timeframe for the audited entity to remedy identified harms.","ai_generated":true,"unit":"ipie-000065#insight-6","date_modified":"2026-10-23"}],"climate_tags":["human rights","greenhouse gas emissions","carbon footprint"],"geography_discussed":["North America","Europe","New York City","Switzerland"],"frame_perspective":[],"analysis_type":["policy recommendation","framework proposal"]},{"id":"ipie-000068","url":"https://climateinsightsdirectory.org/document/ipie-000068","title":"Recomendações para uma estrutura global de auditoria de IA","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"policy brief","language":"pt","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd28fddb6c2022d343d4c_PTB.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) presents a global AI auditing framework designed to address the lack of common standards and the failure of current audits to account for global, disparate impacts. The framework outlines seven key features: audit scope, auditor roles, stakeholder engagement, context-specific criteria, evidence requirements, auditing methodologies, and post-audit activities. It emphasizes the need for auditor independence, transparent results, and the inclusion of environmental and labor impact assessments to protect marginalized communities and the collective well-being.","ai_generated":true,"unit":"ipie-000068#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Current AI auditing practices are insufficient because they rarely involve independent auditors, fail to provide adequate evidence, and often ignore the disproportionate global impacts of AI, particularly regarding human rights violations, labor exploitation, and environmental degradation.","ai_generated":true,"unit":"ipie-000068#insight-1","date_modified":"2026-10-23"},{"text":"An effective and reliable global AI auditing framework must be built upon five core pillars: common standards and procedures, auditor independence and qualifications, access to comprehensive evidence, transparent results, and the assessment of disparate global impacts.","ai_generated":true,"unit":"ipie-000068#insight-2","date_modified":"2026-10-23"},{"text":"The proposed framework identifies seven essential features for AI audits: defining the audit scope, clarifying the auditor's role, establishing stakeholder engagement mechanisms, setting context-appropriate criteria, determining evidence requirements, applying auditing methodologies, and conducting post-audit activities.","ai_generated":true,"unit":"ipie-000068#insight-3","date_modified":"2026-10-23"},{"text":"Audit criteria must be specific and contextual, covering diverse areas such as indigenous and collective data sovereignty, fair labor practices (including protection against algorithmic management), and environmental impacts such as greenhouse gas emissions, water consumption, and e-waste.","ai_generated":true,"unit":"ipie-000068#insight-4","date_modified":"2026-10-23"},{"text":"To ensure validity, auditors should not rely solely on documentation provided by the audited party but must perform active performance and scenario testing over extended periods to capture long-term systemic impacts.","ai_generated":true,"unit":"ipie-000068#insight-5","date_modified":"2026-10-23"},{"text":"Post-audit transparency is critical; final reports should be publicly available through open-access media or searchable repositories and include actionable items and a point of contact for stakeholders to contest AI system aspects.","ai_generated":true,"unit":"ipie-000068#insight-6","date_modified":"2026-10-23"}],"climate_tags":["carbon footprint","greenhouse gas emissions","human rights"],"geography_discussed":["North America","Europe","New York City","Switzerland"],"frame_perspective":[],"analysis_type":["policy recommendation","framework development"]},{"id":"ipie-000069","url":"https://climateinsightsdirectory.org/document/ipie-000069","title":"Muhtasari wa Watunga Sera 2024.2 Mapendekezo ya Mfumo wa Kimataifa wa Ukaguzi wa AI","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"policy brief","language":"sw","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd29414fd3aa17e7950b7_SW.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) presents a policy brief outlining a Global AI Auditing Framework (SR2024.3). The framework addresses the inadequacy of current AI auditing practices, which often lack independent auditors and fail to account for global impacts. It proposes a seven-component system covering audit scope, auditor roles, stakeholder engagement, criteria, evidence requirements, methodology, and post-audit activities. The goal is to create a standardized approach to identify AI-driven biases, labor exploitation, and environmental harms, particularly those affecting marginalized communities globally.","ai_generated":true,"unit":"ipie-000069#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Current AI auditing methods are insufficient because they rarely involve independent auditors, fail to provide adequate evidence, and do not accurately estimate global impacts.","ai_generated":true,"unit":"ipie-000069#insight-1","date_modified":"2026-10-23"},{"text":"AI systems can exacerbate historical biases, increase socio-economic inequality, violate individual rights, and cause environmental damage, with disproportionate effects on marginalized communities.","ai_generated":true,"unit":"ipie-000069#insight-2","date_modified":"2026-10-23"},{"text":"The proposed global framework consists of seven core components: audit scope, the role of the auditor, stakeholder engagement processes, appropriate audit criteria, evidence requirements, auditing methods, and comprehensive post-audit activities.","ai_generated":true,"unit":"ipie-000069#insight-3","date_modified":"2026-10-23"},{"text":"Audit criteria must be context-specific and address diverse risks, including data privacy, indigenous data sovereignty, labor rights (such as protection against algorithmic management), and environmental impacts like carbon footprints and e-waste.","ai_generated":true,"unit":"ipie-000069#insight-4","date_modified":"2026-10-23"},{"text":"Effective auditing requires that AI developers and distributors provide auditors with detailed evidence, such as model cards and data sheets, and that results are made publicly available through open-access media or public repositories.","ai_generated":true,"unit":"ipie-000069#insight-5","date_modified":"2026-10-23"},{"text":"Auditors should employ a combination of performance testing, situational analysis, and stakeholder engagement, rather than relying solely on documentation provided by the auditee.","ai_generated":true,"unit":"ipie-000069#insight-6","date_modified":"2026-10-23"},{"text":"A significant challenge in the AI auditing ecosystem is the asymmetry between stakeholders in the Global North and the Global South, which affects how audits are conducted.","ai_generated":true,"unit":"ipie-000069#insight-7","date_modified":"2026-10-23"}],"climate_tags":["carbon footprint","human rights"],"geography_discussed":["New York City","Switzerland"],"frame_perspective":[],"analysis_type":["policy recommendation","framework proposal"]},{"id":"ipie-000070","url":"https://climateinsightsdirectory.org/document/ipie-000070","title":"关于全球人工智能审计框架的建议 标准与特点概述","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"zh","date_published":"2024","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/67abd2b5b2f58373e2750687_ZH.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines a global framework for AI auditing developed by the International Panel on the Information Environment (IPIE). It argues that current auditing practices lack independence and fail to account for global inequalities, particularly regarding human rights and environmental degradation. The proposed framework consists of seven key characteristics: audit scope, auditor roles, stakeholder engagement, context-adapted standards, evidence requirements, auditing methods, and post-audit activities. It emphasizes the need for transparent, multi-stakeholder driven audits that can identify systemic harms such as bias and labor exploitation.","ai_generated":true,"unit":"ipie-000070#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The IPIE proposes a global AI auditing framework characterized by seven core elements: audit scope, auditor roles, stakeholder engagement mechanisms, audit standards adapted to the environment, evidence requirements, auditing methods, and comprehensive post-audit activities.","ai_generated":true,"unit":"ipie-000070#insight-1","date_modified":"2026-10-23"},{"text":"Effective AI auditing standards must be precise and context-specific, covering diverse areas such as data privacy, indigenous and collective data sovereignty, fair labor practices (including protection from algorithmic management), and environmental impacts like greenhouse gas emissions and electronic waste.","ai_generated":true,"unit":"ipie-000070#insight-2","date_modified":"2026-10-23"}],"climate_tags":["human rights","greenhouse gas emissions","carbon footprint"],"geography_discussed":["North America","Europe","New York City"],"frame_perspective":[],"analysis_type":["policy recommendation","framework proposal"]},{"id":"ipie-000048","url":"https://climateinsightsdirectory.org/document/ipie-000048","title":"2023 글로벌 정보 환경에 대한 전문가 설문조사: 기술 정책 및 설계를 위한 교훈","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"et","date_published":"2023-02","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6563b1f87688a3e476a79f9a_SFP2023.2%20-%20KO.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2023 IPIE expert survey of 289 researchers across 54 countries identifies the availability of accurate information and diversity of opinion as critical features of a healthy information environment. Social media platforms and politicians are viewed as the primary threats globally, though specific concerns vary by political regime: experts in democratic systems emphasize foreign interference and climate misinformation, while those studying autocratic systems highlight threats from central governments and gender-related misinformation. A significant majority of respondents believe the information environment will worsen by 2024, citing a lack of platform data access as a major barrier to research and a lack of accountability for social media companies as a key policy failure.","ai_generated":true,"unit":"ipie-000048#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Experts identify the availability of accurate information and diversity of opinion as the most critical characteristics of a healthy information environment. Specifically, 62% of the 289 respondents selected the availability of accurate information as one of the top five elements for ensuring online safety, with 21% ranking it first, while 50% identified diversity of opinion as a key feature.","ai_generated":true,"unit":"ipie-000048#insight-1","date_modified":"2026-10-23"},{"text":"Social media platforms and politicians are perceived as the most severe threats to a healthy global information environment across all political regimes. Approximately 33% of experts across all regimes identified social media platforms as a threat, and 31% of those studying democratic trends specifically named politicians.","ai_generated":true,"unit":"ipie-000048#insight-2","date_modified":"2026-10-23"},{"text":"Perceptions of threats vary significantly based on the political regime being studied. Experts focusing on autocratic regimes view central governments, state-supported media, and local news outlets as severe threats, whereas those studying democratic regimes are more concerned with foreign interference. Additionally, experts in autocratic contexts worry about misinformation regarding gender, while those in democratic contexts are most concerned with misinformation about climate science and the environment.","ai_generated":true,"unit":"ipie-000048#insight-3","date_modified":"2026-10-23"},{"text":"There is significant concern regarding the design and accountability of online content moderation. 66% of experts believe a primary issue is the inability to hold social media companies accountable, and 55% cited poorly designed AI-based content moderation systems as a major concern.","ai_generated":true,"unit":"ipie-000048#insight-4","date_modified":"2026-10-23"},{"text":"A majority of the surveyed experts hold a negative outlook for the near future, with 54% predicting that the information environment in their area of expertise will deteriorate by 2024, while only 12% expect improvement.","ai_generated":true,"unit":"ipie-000048#insight-5","date_modified":"2026-10-23"},{"text":"The international research community identifies a lack of access to platform data as the primary obstacle to improving the understanding of the global information environment, a sentiment shared by 72% of respondents.","ai_generated":true,"unit":"ipie-000048#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation","obsidian"],"geography_discussed":["Switzerland"],"frame_perspective":[],"analysis_type":["expert survey","cross-national analysis"]},{"id":"ipie-000049","url":"https://climateinsightsdirectory.org/document/ipie-000049","title":"世界の情報環境に関する専門家アンケート（2023年）： 技術政策と設計の教訓","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"ja","date_published":"2023-02","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6563b1fb7688a3e476a7a138_SFP2023.2%20-%20JA.pdf","generator":"Climate Insights Directory","generated_fields":["summary","climate_tags","analysis_type"],"summary":{"text":"The IPIE 2023 expert survey of 289 scientists across 54 countries identifies the availability of accurate information and diverse opinions as critical for a healthy information environment. Social media platforms and politicians are cited as the most significant threats globally, while researchers highlight a lack of platform data access as a primary barrier to understanding these trends. The report notes a divergence in perceived threats based on political regimes: experts in autocracies emphasize central governments and state media, while those in democracies are more concerned with foreign interference and climate-related misinformation.","ai_generated":true,"unit":"ipie-000049#summary","date_modified":"2026-10-23"},"key_insights":[],"climate_tags":["climate change disinformation","digital divide"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["expert survey","comparative analysis"]},{"id":"ipie-000050","url":"https://climateinsightsdirectory.org/document/ipie-000050","title":"2023 年全球信息环境专家调查： 技术政策和设计的借鉴经验","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"en","date_published":"2023-02","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6563b1ff42a07151436e3954_SFP2023.2%20-%20ZHCN.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2023 IPIE expert survey of 289 scientists reveals that information accuracy and opinion diversity are the most critical features of a healthy information environment. Social media platforms and political actors are identified as the primary global threats, with specific concerns regarding the lack of accountability for social media companies and poorly designed AI-supported content moderation. Experts noted a divergence in perceived threats based on regime type: those studying autocracies emphasize threats from national governments and state media, while those studying democracies are more concerned with foreign interference. A majority of researchers (54%) predict the information environment in their primary study countries will worsen by 2024, and 72% cite insufficient platform data accessibility as a major research barrier.","ai_generated":true,"unit":"ipie-000050#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Experts identify information accuracy and diversity of opinion as the most essential characteristics of a healthy information environment, with 66% prioritizing accuracy and 50% prioritizing diversity.","ai_generated":true,"unit":"ipie-000050#insight-1","date_modified":"2026-10-23"},{"text":"Social media platforms and political figures are viewed as the top threats to the global information environment across all regime types, with 33% of experts naming social media and 31% of those studying democracies naming politicians.","ai_generated":true,"unit":"ipie-000050#insight-2","date_modified":"2026-10-23"},{"text":"Perceptions of threats vary by political regime: experts studying autocracies highlight national governments, state media, and local news mouthpieces, whereas those studying democracies are more concerned with foreign interference.","ai_generated":true,"unit":"ipie-000050#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["Switzerland","United States"],"frame_perspective":[],"analysis_type":["expert survey","comparative analysis"]},{"id":"ipie-000038","url":"https://climateinsightsdirectory.org/document/ipie-000038","title":"改善全球信息环境 的战略","publisher":{"name":"International Panel on the Information Environment","organization":"international-panel-on-the-information-environment"},"document_type":"executive summary","language":"en","date_published":"2023-01","source_url":"https://cdn.prod.website-files.com/643ecb10be528d2c1da863cb/6563aed00eedb971ae092df8_SFP2023.1%20-%20ZHCN.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document synthesizes evidence from 4,798 peer-reviewed publications to evaluate strategies for improving the global information environment. It identifies a scientific consensus that content labels and corrective information are effective in reducing the impact of misinformation on user perception. However, it notes significant gaps in research, including a lack of non-English language studies, insufficient access to corporate social media data, and a lack of standardized definitions and metrics across the field.","ai_generated":true,"unit":"ipie-000038#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"While other strategies such as content and account moderation, information and media literacy, and redirecting users to accurate information are supported by systematic review, their effectiveness remains unverified by meta-analysis or is considered uncertain.","ai_generated":true,"unit":"ipie-000038#insight-1","date_modified":"2026-10-23"},{"text":"There is a critical need for standardized definitions and metrics in misinformation research, as few studies report measurable impacts or use methodologies that allow for knowledge synthesis.","ai_generated":true,"unit":"ipie-000038#insight-2","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation"],"geography_discussed":["Switzerland"],"frame_perspective":[],"analysis_type":["systematic review","meta-analysis"]}]}