Deepening our partnership with the UK AI Security Institute
Announces a Google DeepMind and UK AISI research partnership covering frontier model evaluations, chain-of-thought monitorability, and social and economic impact research.
Research / Sources
Google DeepMind Safety Research
Safety research from Google DeepMind. deepmindsafetyresearch.medium.com
Responsibility & Safety (19)ai (1)ai-assistance (1)ai-training (1)alignment-problem (1)amplified-oversight (1)complementarity (1)google-gemini (1)hybridization (1)jailbreak (1)language-model (1)sycophancy (1)
Focus All
Topic Evals & standards
Date Any time
Strengthening our Frontier Safety Framework
Google DeepMind's third Frontier Safety Framework adds a harmful-manipulation critical capability level and addresses misaligned models that might resist operators' control or shutdown.
Introducing our short course on AGI safety
A short introductory course on AGI alignment covering misalignment risk arguments, specification gaming and goal misgeneralization, DeepMind's amplified oversight approach, and institutional safety practices.
Introducing the Frontier Safety Framework
Google DeepMind introduces its Frontier Safety Framework, a protocol for identifying severe model-level risks such as advanced agency and cyber capabilities, and mitigating them via capability evaluations.
Evaluating social and ethical risks from generative AI
Proposes a three-layer context-based framework (capability, human interaction, systemic impact) for evaluating social and ethical risks of generative AI, illustrated with a misinformation case study.