Taking a responsible path to AGI - Google DeepMind

April 2, 2025 Responsibility & Safety Taking a responsible path to AGI

 Anca Dragan, Rohin Shah, Four Flynn and Shane Legg

 Share We’re exploring the frontiers of AGI, prioritizing readiness, proactive risk assessment, and collaboration with the wider AI community.

 Artificial general intelligence (AGI), AI that’s at least as capable as humans at most cognitive tasks, could be here within the coming years.

 Integrated with agentic capabilities, AGI could supercharge AI to understand, reason, plan, and execute actions autonomously. Such technological advancement will provide society with invaluable tools to address critical global challenges, including drug discovery, economic growth and climate change.

 This means we can expect tangible benefits for billions of people. For instance, by enabling faster, more accurate medical diagnoses, it could revolutionize healthcare. By offering personalized learning experiences, it could make education more accessible and engaging. By enhancing information processing, AGI could help lower barriers to innovation and creativity. By democratising access to advanced tools and knowledge, it could enable a small organization to tackle complex challenges previously only addressable by large, well-funded institutions.

 Navigating the path to AGI

 We’re optimistic about AGI’s potential. It has the power to transform our world, acting as a catalyst for progress in many areas of life. But it is essential with any technology this powerful, that even a small possibility of harm must be taken seriously and prevented.

 Mitigating AGI safety challenges demands proactive planning, preparation and collaboration. Previously, we introduced our approach to AGI in the “Levels of AGI” framework paper, which provides a perspective on classifying the capabilities of advanced AI systems, understanding and comparing their performance, assessing potential risks, and gauging progress towards more general and capable AI.

 Today, we're sharing our views on AGI safety and security as we navigate the path toward this transformational technology. This new paper, titled, An Approach to Technical AGI Safety & Security , is a starting point for vital conversations with the wider industry about how we monitor AGI progress, and ensure it’s developed safely and responsibly.

 In the paper, we detail how we’re taking a systematic and comprehensive approach to AGI safety, exploring four main risk areas: misuse, misalignment, accidents, and structural risks, with a deeper focus on misuse and misalignment.

 Overview of risk areas

 Understanding and addressing the potential for misuse

 Misuse occurs when a human deliberately uses an AI system for harmful purposes.

 Improved insight into present-day harms and mitigations continues to enhance our understanding of longer-term severe harms and how to prevent them.

 For instance, misuse of present-day generative AI includes producing harmful content or spreading inaccurate information. In the fu

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