A Bibliometric View of AI Ethics Development

• URL: http://arxiv.org/abs/2403.05551v1
• Date: Thu, 8 Feb 2024 16:36:55 GMT
• Title: A Bibliometric View of AI Ethics Development
• Authors: Di Kevin Gao, Andrew Haverly, Sudip Mittal, Jingdao Chen,
• Abstract summary: We perform a bibliometric analysis of AI Ethics literature for the last 20 years based on keyword search. 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.
• Score: 4.0998481751764
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 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".

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