AI Safety Papers We Love #4 - Law-Following AI: Designing AI Agents to Obey Human Laws

AI Safety Papers We Love, an event series in which a community member presents a paper on AI safety (technical alignment, governance, interpretability, etc) that they loved.

This edition will be on Law-Following AI: Designing AI Agents to Obey Human Laws will be presented byTalita Dias, international lawyer; Professor of Practice (McGill), prev. Partnership on AI, Chatham House, Oxford.

Abstract: AI companies are racing to build agents, systems that can perform computer-based tasks as competently as human experts. Such agents could generate enormous value, but they could also carry out actions that would be illegal if a human did them, posing risks to life, liberty, and the rule of law. O'Keefe, Ramakrishnan, Tay, and Winter argue that in high-stakes settings like government, AI agents should be designed to rigorously follow the law, i.e. loyal to their principals, but only within legal bounds, refusing illegal actions in their service. They call these "Law-Following AIs" (LFAI), and make the case for imposing legal duties directly on AI agents.

Reading the paper beforehand is encouraged but not required. Come curious.

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Où / Where:

Ω Labs, 3813 Saint-Denis
Parking spot available on request

Online: Join via https://zoom.us/j/99005830598?pwd=3e21GRcTVAPTbvGOJv4RawurTc5ZXx.1

Contact host if you need assistance or for questions

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