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A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values

Authors:

Jess WhittlestoneAuthors Info & Claims

AIES '22: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

Pages 192 - 202

https://doi.org/10.1145/3514094.3534131

Published: 27 July 2022 Publication History

Abstract

It is increasingly recognised that advances in artificial intelligence could have large and long-lasting impacts on society. However, what form those impacts will take, just how large and long-lasting they will be, and whether they will ultimately be positive or negative for humanity, is far from clear. Based on surveying literature on the societal impacts of AI, we identify and discuss five potential long-term impacts of AI: how AI could lead to long-term chances in science, cooperation, power, epistemics, and values. We review the state of existing research in each of these areas and highlight priority questions for future research.

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A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values

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cover image ACM Conferences

AIES '22: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

July 2022

939 pages

ISBN:9781450392471

DOI:10.1145/3514094

General Chairs:
Vincent Conitzer
Duke University & University of Oxford
,
John Tasioulas
University of Oxford
,
Program Chairs:
Matthias Scheutz
Tufts University
,
Ryan Calo
University of Washington
,
Martina Mara
Johannes Kepler University Linz
,
Annette Zimmermann
University of York

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Published: 27 July 2022

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May 19 - 21, 2021

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