Protecting People from Harmful Manipulation
Google DeepMind releases new findings and an evaluation framework to measure AI's potential for harmful manipulation in areas like finance and health, with the goal of enhancing AI safety.
Measuring progress toward AGI: A cognitive framework
Google DeepMind proposes a cognitive framework to evaluate AGI and launches a Kaggle hackathon to build capability benchmarks
Gemma Scope 2: Helping the AI Safety Community Deepen Understanding of Complex Language Model Behavior
Announcing Gemma Scope 2, a comprehensive, open suite of interpretability tools for the entire Gemma 3 family to accelerate AI safety research.
Deepening AI Safety Research with UK AI Security Institute (AISI)
Google DeepMind and the UK AI Security Institute (AISI) strengthen collaboration through a new research partnership, focusing on critical safety research areas like monitoring AI reasoning and evalua…
FACTS Benchmark Suite: a new way to systematically evaluate LLMs factuality
The FACTS Benchmark Suite provides a systematic evaluation of Large Language Models (LLMs) factuality across three areas: Parametric, Search, and Multimodal reasoning.
Google DeepMind strengthens the Frontier Safety Framework
Today, we’re publishing the third iteration of our Frontier Safety Framework (FSF) — our most comprehensive approach yet to identifying and mitigating severe risks from advanced AI models. This updat…
Rethinking how we measure AI intelligence
Kaggle Game Arena is a new platform where AI models compete head-to-head in complex strategic games.
Taking a responsible path to AGI
We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.