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research-article

Mimetic Models: Ethical Implications of AI that Acts Like You

Authors:

Reid McIlroy-Young,

Siddhartha Sen,

Ashton AndersonAuthors Info & Claims

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

Pages 479 - 490

https://doi.org/10.1145/3514094.3534177

Published: 27 July 2022 Publication History

Abstract

An emerging theme in artificial intelligence research is the creation of models to simulate the decisions and behavior of specific people, in domains including game-playing, text generation, and artistic expression. These models go beyond earlier approaches in the way they are tailored to individuals, and the way they are designed for interaction rather than simply the reproduction of fixed, pre-computed behaviors. We refer to these as mimetic models, and in this paper we develop a framework for characterizing the ethical and social issues raised by their growing availability. Our framework includes a number of distinct scenarios for the use of such models, and considers the impacts on a range of different participants, including the target being modeled, the operator who deploys the model, and the entities that interact with it.

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Mimetic Models: Ethical Implications of AI that Acts like You, summary and discussion of four scenarios

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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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Publication History

Published: 27 July 2022

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Research-article

Funding Sources

Simons Foundation
Canada Foundation for Innovation (CFI)
Ontario Research Fund (ORF)
Natural Sciences and Engineering Research Council of Canada (NSERC)
Vannevar Bush Faculty Fellows Program
MacArthur Foundation

Conference

AIES '22

Sponsor:

SIGAI

AIES '22: AAAI/ACM Conference on AI, Ethics, and Society

May 19 - 21, 2021

Oxford, United Kingdom

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Overall Acceptance Rate 61 of 162 submissions, 38%

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Cited By

Leong JTang JCutrell EJunuzovic SBaribault GInkpen K(2024)Dittos: Personalized, Embodied Agents That Participate in Meetings When You Are UnavailableProceedings of the ACM on Human-Computer Interaction10.1145/36870338:CSCW2(1-28)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687033
McIntosh TLiu TSusnjak TWatters PNg AHalgamuge M(2024)A Culturally Sensitive Test to Evaluate Nuanced GPT HallucinationIEEE Transactions on Artificial Intelligence10.1109/TAI.2023.33328375:6(2739-2751)Online publication date: Jun-2024
https://doi.org/10.1109/TAI.2023.3332837
Hai-Jew S(2023)Stepping Stones for Self-LearningGenerative AI in Teaching and Learning10.4018/979-8-3693-0074-9.ch005(85-142)Online publication date: 5-Dec-2023
https://doi.org/10.4018/979-8-3693-0074-9.ch005
McIlroy-Young RWang RSen SKleinberg JAnderson AZhang ARangwala H(2022)Learning Models of Individual Behavior in ChessProceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3534678.3539367(1253-1263)Online publication date: 14-Aug-2022
https://dl.acm.org/doi/10.1145/3534678.3539367

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