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International AI Safety Report: Second Key Update - Technical ...
Home→Reports→International AI Safety Report: Second Key Update – Technical Safeguards and Risk Management Authors: Yoshua Bengio, Stephen Clare, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Nestor Maslej, Conor McGlynn, Malcolm Murray, Shalaleh Rismani, Stephen Casper, Jessica Newman, Daniel Privitera, Sören Mindermann. Abstract This Second Key Update to the 2025 International AI Safety Report synthesises recent research and practice on technical and non‑technical risk management for general‑purpose AI. It reviews advances in training‑time safeguards (such as data filtering, RLHF, adversarial training, and safe‑by‑design approaches), deployment‑time monitoring and control (including classifiers, guardrails, runtime monitors, and human‑in‑the‑loop oversight), and post‑deployment provenance and watermarking tools for models and AI‑generated content. The report analyses the changing risk landscape associated with rapidly improving open‑weight models, data‑poisoning and fine‑tuning attacks, and the limitations of current unlearning and tamper‑resistant techniques. It then surveys emerging institutional frameworks—including international governance initiatives and Frontier AI Safety Frameworks—that seek to formalise transparency, evaluation, and incident‑reporting expectations, and introduces safety cases and related assurance methods as tools to justify risk‑management strategies. Across these domains, the Update highlights persistent evidence gaps, variability in effectiveness across contexts, and the absence of shared metrics, arguing that layered defence‑in‑depth strategies and more systematic evaluation frameworks are essential to ensure that safeguards keep pace with advancing AI capabilities. 🔒 Member Access Required This research report is available exclusively to IIGAI members. Our reports provide in-depth analysis, comprehensive research findings, and professional insights into generative AI developments.
Regulating AI: Where U.S. State Policy and HCI (Mis)align
Yet, while global steam around AI policies intensifies—from China [105] to the EU [6] despite lower investment—U.S. national policy has largely stalled. U.S. state and local governments instead have slowly set in motion efforts to regulate AI [16, 36]. To this end, many states have established AI committees, i.e., working groups tasked with studying AI, developing regulatory frameworks for ...
AI Governance Frameworks Critical Amid Regulation Wave
With 97% of compliance teams unprepared for AI regulation, enterprises face urgent pressure to implement governance frameworks as global rules take effect.
Global AI Growth and Regulatory Developments in 2024
Global AI Regulatory Actions The US Federal Trade Commission (FTC) issued new guidelines in April 2024, emphasising transparency in AI algorithms and consumer data protection.
