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Scalable AI needs safety, transparency and accountability

The updated OECD principles extend the AI framework to safety, information integrity, accountability across the system lifecycle and cooperation between actors. Innovation is paired with active risk governance.

Author: Prime ASI ResearchUpdated: 26 July 2026

Source facts and context

The updated OECD principles extend the AI framework to safety, information integrity, accountability across the system lifecycle and cooperation between actors. Innovation is paired with active risk governance.

PRIME ASI analysis

When assessing an AI company, model quality alone is not enough. Data provenance, system robustness, auditability, accountability and deployment in regulated or critical environments also matter.

Barriers, risks and limitations

The OECD principles are a public-policy framework; legal and technical requirements depend on the use case and jurisdiction.

Primary source

OECD

OECD updates AI Principles to stay abreast of rapid technological developments

Open source material

This material is educational and informational. It does not constitute an investment recommendation, an offer or any assurance regarding the future performance of Prime ASI S.A. or its portfolio companies.

Scalable AI needs safety, transparency and accountability | PRIME ASI