Developing Gemini 4 Argon responsibly and safely
DeepMind describes how it is safely deploying Gemini 4 Argon, a frontier cyber-capable model, addressing misuse, misalignment, and prompt injection through staged limited access and guardrails.
Research
Google DeepMind Safety Research
Safety research from Google DeepMind. deepmindsafetyresearch.medium.com
Focus All
Topic Lab practice + Evals
Source DeepMind · 6
Date Any time
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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.
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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.
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Taking a responsible path to AGI
DeepMind outlines its approach to safely developing AGI, emphasising technical safety, proactive risk assessment, readiness planning, and collaboration with the wider AI community.
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Updating the Frontier Safety Framework
DeepMind updates its Frontier Safety Framework with security levels for critical capabilities, consistent deployment mitigations, and an approach to deceptive alignment risk.
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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.