arXiv AI By Elinor Poole-Dayan, Jillian Fisher, Jacob Andreas, Mitchell Gordon, Michiel A. Bakker

A Roadmap to Impactful Pluralistic Alignment Research

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The paper outlines a roadmap for advancing pluralistic value alignment in AI, noting that current research lacks evidence of influence on model training or evaluation. It identifies three key barriers: a need for empirical studies on benefits and drawbacks, clearer specifications of when and how pluralistic behavior should occur, and robust evaluation methods suitable for production. The roadmap aims to guide research toward practical deployment in responsible AI systems.

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arXiv AI
Jun 12

From AGI to ASI

arXiv:2606. 12683v1 Announce Type: new Abstract: Over the last decade, building human-level artificial general intelligence has moved from far-fetched speculation to being a concrete next-decade target for many of the largest AI organisations.

By Tim Genewein, Matija Franklin, Alexander Lerchner, Laurent Orseau, Samuel Albanie, Adam Bales, Cole Wyeth, Stephanie Chan, Iason Gabriel, Joel Z. Leibo, Allan Dafoe, Marcus Hutter, Thore Graepel, Shane Legg