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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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.