Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems - Google DeepMind

Generative AI systems are already being used to write books, create graphic designs, assist medical practitioners, and are becoming increasingly capable. Ensuring these systems are developed and deployed responsibly requires carefully evaluating the potential ethical and social risks they may pose.
In our new paper, we propose a three-layered framework for evaluating the social and ethical risks of AI systems. This framework includes evaluations of AI system capability, human interaction, and systemic impacts.

Read more:

Download the paper "Sociotechnical Safety Evaluation of Generative AI Systems"


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