Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance

Global consensus exists on core AI ethics principles: The analysis of 200 governance policies and guidelines identified at least 17 resonating principles that appear across policies from public bodies, academic institutions, private companies, and civil society organizations worldwide, suggesting broad agreement on fundamental ethical standards for AI.

Privacy, discrimination, and transparency are universal concerns: The paper identifies privacy breaches, algorithmic discrimination, security and reliability issues, and transparency as key ethical concerns that consistently appear across AI governance frameworks globally, indicating these should be prioritized in future regulations.

Multiple stakeholder perspectives are represented: The dataset includes guidelines from diverse sources—public bodies, academic institutions, private companies, and civil society organizations—demonstrating that responsible AI governance requires input and coordination across different sectors and interests.

Existing guidelines reveal both consensus and gaps: While the meta-analysis identifies areas of strong agreement suitable for incorporation into future regulatory efforts, the authors also note limitations in performing global-scale analysis, suggesting that current guidelines may not fully address all contexts or emerging challenges.

Open-source tools can support AI governance: The researchers released their findings as an open-source database and tool, making the identified principles and comparative analysis accessible to policymakers and organizations developing their own AI governance frameworks.