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AI Alignment

Directing AI systems toward human-intended goals, values, and ethical principles.

Indexed Literature in this Topic (4)

2016-06-21 Preprint

Concrete Problems in AI Safety

Dario Amodei

We discuss five practical research problems in designing AI systems that behave safely: avoiding negative side effects, avoiding reward hacking, scalable oversight, safe exploratio...

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2016-06-09 Peer-Reviewed

Cooperative Inverse Reinforcement Learning

Dylan Hadfield-Menell, Stuart Russell

To build systems aligned with human values, machines must act when human objectives are initially unknown. We formalize this cooperative setting as a two-player game with incomplet...

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2015-08-17 Peer-Reviewed

Corrigibility

Nate Soares

A corrigible artificial agent is one that tolerates or assists in its own modification, correction, or shutdown by its human operators. This paper investigates theoretical hurdles ...

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