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arXiv· arXiv:2512.03399· Joe Edelman, Tan Zhi-Xuan, Ryan Lowe, Oliver Klingefjord, Vincent Wang-Mascianica, Matija Franklin, Ryan Othniel Kearns, Ellie Hain, Atrisha Sarkar, Michiel Bakker, Fazl Barez, David Duvenaud, Jakob Foerster, Iason Gabriel, Joseph Gubbels, Bryce Goodman, Andreas Haupt, Jobst Heitzig, Julian Jara-Ettinger, Atoosa Kasirzadeh, James Ravi Kirkpatrick, Andrew Koh, W. Bradley Knox, Philipp Koralus, Joel Lehman, Sydney Levine, Samuele Marro, Manon Revel, Toby Shorin, Morgan Sutherland, Michael Henry Tessler, Ivan Vendrov, James Wilken-Smith·Indexed by this site · Originally published

Full-stack alignment: co-aligning AI and institutions with thick value models

Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value

AI summary

Aligning only with operator intent cannot guarantee that AI brings about good social outcomes; the paper proposes "full-stack alignment": aligning AI together with the institutions that shape it to the values people care about. Value representations such as utility functions and preference rankings struggle to distinguish values from other signals, support normative reasoning, and model the collective good; the authors advocate "thick value models." Five demonstration directions: AI value guardianship, normatively capable agents, win-win negotiation systems, meaning-preserving economic mechanisms, and democratic oversight institutions.

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