[2203.10525] Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI
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Computer Science > Artificial Intelligence

arXiv:2203.10525 (cs)
[Submitted on 20 Mar 2022 (v1), last revised 30 Mar 2022 (this version, v2)]

Title:Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI

Authors:Matija Franklin, Hal Ashton, Rebecca Gorman, Stuart Armstrong
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Abstract:As artificial intelligence becomes more powerful and a ubiquitous presence in daily life, it is imperative to understand and manage the impact of AI systems on our lives and decisions. Modern ML systems often change user behavior (e.g. personalized recommender systems learn user preferences to deliver recommendations that change online behavior). An externality of behavior change is preference change. This article argues for the establishment of a multidisciplinary endeavor focused on understanding how AI systems change preference: Preference Science. We operationalize preference to incorporate concepts from various disciplines, outlining the importance of meta-preferences and preference-change preferences, and proposing a preliminary framework for how preferences change. We draw a distinction between preference change, permissible preference change, and outright preference manipulation. A diversity of disciplines contribute unique insights to this framework.
Comments: Accepted at the AAAI-22 Workshop on AI For Behavior Change held at the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), 7 pages, 1 figure
Subjects: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
Cite as: arXiv:2203.10525 [cs.AI]
  (or arXiv:2203.10525v2 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2203.10525
Journal reference: The AAAI-22 Workshop on AI For Behavior Change (AI4BC 2022)

Submission history

From: Matija Franklin [view email]
[v1] Sun, 20 Mar 2022 11:23:15 UTC (47 KB)
[v2] Wed, 30 Mar 2022 14:03:23 UTC (47 KB)
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