Search Results for author: Julia Haas

Found 3 papers, 1 papers with code

Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity

no code implementations • 29 May 2023 • Yiran Mao, Madeline G. Reinecke, Markus Kunesch, Edgar A. Duéñez-Guzmán, Ramona Comanescu, Julia Haas, Joel Z. Leibo

Is it possible to evaluate the moral cognition of complex artificial agents?

Meta Reinforcement Learning reinforcement-learning

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Melting Pot 2.0

2 code implementations • 24 Nov 2022 • John P. Agapiou, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Jayd Matyas, Yiran Mao, Peter Sunehag, Raphael Köster, Udari Madhushani, Kavya Kopparapu, Ramona Comanescu, DJ Strouse, Michael B. Johanson, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo

Melting Pot is a research tool developed to facilitate work on multi-agent artificial intelligence, and provides an evaluation protocol that measures generalization to novel social partners in a set of canonical test scenarios.

Artificial Life Navigate

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Ethical and social risks of harm from Language Models

no code implementations • 8 Dec 2021 • Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel

We discuss the points of origin of different risks and point to potential mitigation approaches.

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