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AI Safety

923 summarised stories about AI Safety, each linking back to the original source. Browse all topics →

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OpenAI Anthropic Hugging Face Meta Dario Amodei Claude

Wednesday, 15 July 2026

The US is advancing AI safety through state and federal action

OpenAI 3 months ago 37 ● 5 sources

OpenAI has proposed a "reverse federalism" model where state-level AI regulations would inform and shape federal policy rather than the other way around. The approach suggests allowing states to pioneer AI safety rules that could eventually form the basis of a coherent national standard. This strategy aims to balance localized governance experimentation with the development of consistent safeguards across the country.

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AI Governance AI Safety

GPT-Red: Unlocking Self-Improvement for Robustness

OpenAI 3 months ago 30 ● 3 sources

OpenAI developed GPT-Red, an automated system that uses self-play to identify vulnerabilities in AI models and improve their robustness against adversarial attacks. The system iteratively generates adversarial prompts and defensive improvements in a feedback loop, with evaluations showing measurable increases in resistance to prompt injection attempts. This approach allows AI developers to systematically strengthen defenses without manual red teaming, reducing the time required to identify and patch safety vulnerabilities.

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AI Safety Adversarial Robustness

Demis Hassabis Calls for U.S.-Led AI Watchdog Before Model Release

Axios 3 months ago 11 ● 5 sources

Google DeepMind CEO Demis Hassabis published a manifesto proposing a U.S. national AI standards body to evaluate advanced models for security and safety risks before public release. The proposed independent board, modeled on financial industry regulator FINRA, would be funded by AI companies and become operational by the end of 2024. If adopted, such a watchdog would require developers to submit models for testing on cyber, biological, and deception capabilities before deployment.

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AI Safety Model Evaluation AI Regulation

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