INFORMATION TECHNOLOGY
OECD announces pilot phase for G7 Hiroshima AI Process.
The OECD - Organization for Economic Cooperation and Development announced a pilot phase to monitor the application of the Hiroshima Process International Code of Conduct for Organizations Developing AI Systems (G7 Hiroshima AI Process). The OECD clarified that the G7 Hiroshima AI Process is a comprehensive policy framework on artificial intelligence (AI) consisting of:
- the OECD's Report towards a G7 Common Understanding on Generative AI;
- International Guiding Principles;
- International Code of Conduct; and
- project-based cooperation on AI.
The pilot phase is open to participation here until September 6, 2024, and is open to input from organizations developing advanced AI systems. The pilot aims to establish a monitoring mechanism for the Code of Conduct.
The Code of Conduct provides 11 Principles including:
- the OECD's Report towards a G7 Common Understanding on Generative AI;
- International Guiding Principles;
- International Code of Conduct; and
- project-based cooperation on AI.
The pilot phase is open to participation here until September 6, 2024, and is open to input from organizations developing advanced AI systems. The pilot aims to establish a monitoring mechanism for the Code of Conduct.
The Code of Conduct provides 11 Principles including:
- taking appropriate measures to identify, evaluate, and mitigate risks throughout the AI lifecycle;
- monitoring for patterns of misuse, after deployment, including placement on the market;
- publicly reporting advanced AI systems' capabilities, limitations, and domains of appropriate and inappropriate use, to support transparency;
- working towards information sharing and reporting of incidents among organizations developing advanced AI systems;
- developing, implementing, and disclosing AI governance and risk management policies;
- investing in and implementing robust security controls, including physical measures;
- developing and deploying reliable content authentication and provenance mechanisms where technically feasible;
- prioritizing research to mitigate societal, safety, and security risks;
- prioritizing the development of advanced AI systems to address global challenges including climate, health, and education;
- advancing the development and adoption of international technical standards; and
- implementing appropriate data input measures, protection for personal data, and intellectual property.