A Bibliometric View of AI Ethics Development

Fuente: arXiv
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Main Authors: Gao, Di Kevin, Haverly, Andrew, Mittal, Sudip, Chen, Jingdao
Format: Preprint
Published: 2024
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author Gao, Di Kevin
Haverly, Andrew
Mittal, Sudip
Chen, Jingdao
author_facet Gao, Di Kevin
Haverly, Andrew
Mittal, Sudip
Chen, Jingdao
contents Artificial Intelligence (AI) Ethics is a nascent yet critical research field. Recent developments in generative AI and foundational models necessitate a renewed look at the problem of AI Ethics. In this study, we perform a bibliometric analysis of AI Ethics literature for the last 20 years based on keyword search. Our study reveals a three-phase development in AI Ethics, namely an incubation phase, making AI human-like machines phase, and making AI human-centric machines phase. We conjecture that the next phase of AI ethics is likely to focus on making AI more machine-like as AI matches or surpasses humans intellectually, a term we coin as "machine-like human".
format Preprint
id arxiv_https___arxiv_org_abs_2403_05551
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Bibliometric View of AI Ethics Development
Gao, Di Kevin
Haverly, Andrew
Mittal, Sudip
Chen, Jingdao
Computers and Society
Artificial Intelligence (AI) Ethics is a nascent yet critical research field. Recent developments in generative AI and foundational models necessitate a renewed look at the problem of AI Ethics. In this study, we perform a bibliometric analysis of AI Ethics literature for the last 20 years based on keyword search. Our study reveals a three-phase development in AI Ethics, namely an incubation phase, making AI human-like machines phase, and making AI human-centric machines phase. We conjecture that the next phase of AI ethics is likely to focus on making AI more machine-like as AI matches or surpasses humans intellectually, a term we coin as "machine-like human".
title A Bibliometric View of AI Ethics Development
topic Computers and Society
url https://arxiv.org/abs/2403.05551