TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI

• URL: http://arxiv.org/abs/2306.06924v2
• Date: Wed, 14 Jun 2023 18:55:50 GMT
• Title: TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI
• Authors: Andrew Critch and Stuart Russell
• Abstract summary: Many exhaustive taxonomy are possible, and some are useful -- particularly if they reveal new risks or practical approaches to safety. This paper explores a taxonomy based on accountability: whose actions lead to the risk, are the actors unified, and are they deliberate? We also provide stories to illustrate how the various risk types could each play out, including risks arising from unanticipated interactions of many AI systems, and risks from deliberate misuse.
• Score: 11.240642213359267
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: While several recent works have identified societal-scale and extinction-level risks to humanity arising from artificial intelligence, few have attempted an {\em exhaustive taxonomy} of such risks. Many exhaustive taxonomies are possible, and some are useful -- particularly if they reveal new risks or practical approaches to safety. This paper explores a taxonomy based on accountability: whose actions lead to the risk, are the actors unified, and are they deliberate? We also provide stories to illustrate how the various risk types could each play out, including risks arising from unanticipated interactions of many AI systems, as well as risks from deliberate misuse, for which combined technical and policy solutions are indicated.

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