[2306.10999] Concept Extrapolation: A Conceptual Primer
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Computer Science > Artificial Intelligence

arXiv:2306.10999 (cs)
[Submitted on 19 Jun 2023]

Title:Concept Extrapolation: A Conceptual Primer

Authors:Matija Franklin, Rebecca Gorman, Hal Ashton, Stuart Armstrong
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Abstract:This article is a primer on concept extrapolation - the ability to take a concept, a feature, or a goal that is defined in one context and extrapolate it safely to a more general context. Concept extrapolation aims to solve model splintering - a ubiquitous occurrence wherein the features or concepts shift as the world changes over time. Through discussing value splintering and value extrapolation the article argues that concept extrapolation is necessary for Artificial Intelligence alignment.
Comments: Accepted at the AAMAS-23 First International Workshop on Citizen-Centric Multiagent Systems held at the 22nd International Conference on Autonomous Agents and Multiagent Systems, 6 pages
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2306.10999 [cs.AI]
  (or arXiv:2306.10999v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2306.10999

Submission history

From: Matija Franklin [view email]
[v1] Mon, 19 Jun 2023 15:07:16 UTC (767 KB)
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