TRV-2026-0056Version 7 · Revised
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Model backfill: grounded claim, summary, sector, and trace validation
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TRUVACE RECORD VERSION record: TRV-2026-0056 version: 7 kind: revised reason: Model backfill: grounded claim, summary, sector, and trace validation timestamp: 2026-07-13T00:38:59.282095Z status: published lens: g_space sector: science headline: The Ethics of AI Ethics: An Evaluation of Guidelines dek: Abstract Current advances in research, development and application of artificial intelligence (AI) systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a res… gain_title: The development and release of ethics guidelines provides normative principles intended to help harness disruptive potentials of AI systems in research, development and application. problem_title: (none) trace_subject: (none) gain_reading: The development and release of ethics guidelines provides normative principles intended to help harness disruptive potentials of AI systems in research, development and application. problem_reading: (none) quick_read: This paper conducts a semi-systematic evaluation that analyzes and compares 22 ethics guidelines released in recent years following advances in research, development and application of AI systems. The guidelines are described as comprising normative principles and recommendations. The existence of many guidelines shows an attempt to govern disruptive AI, which matters for how systems are built and used, but the finding of overlaps and omissions raises uncertainty about coverage and effectiveness in practice, which the abstract does not resolve. limitation: The supplied text does not detail which principles overlap, what specific omissions were found, or how principles are implemented in practice tag: Evidence-backed gain key_points: The paper is designed as a semi-systematic evaluation of ethics guidelines | It analyzes and compares 22 guidelines in total | The analysis highlights both overlaps and omissions across the guidelines rundown: This paper conducts a semi-systematic evaluation that analyzes and compares 22 ethics guidelines released in recent years following advances in research, development and application of AI systems. The guidelines are described as comprising normative principles and recommendations. The existence of many guidelines shows an attempt to govern disruptive AI, which matters for how systems are built and used, but the finding of overlaps and omissions raises uncertainty about coverage and effectiveness in practice, which the abstract does not resolve. sources: - peer_reviewed | Information Fusion | https://doi.org/10.1016/j.inffus.2023.101805 | 2023-04-18 - peer_reviewed | International Journal of Information Management | https://doi.org/10.1016/j.ijinfomgt.2023.102642 | 2023-03-11 - peer_reviewed | JMIR Mental Health | https://doi.org/10.2196/60432 | 2025-02-21 - peer_reviewed | Minds and Machines | https://doi.org/10.1007/s11023-020-09517-8 | 2020-02-01 - peer_reviewed | Psychology & Marketing | https://doi.org/10.1002/mar.21767 | 2022-12-16 prev: 05663c1fb47be75ba4c98bc2c83c86ad991a583d275a2e1981407eacad01b7fb
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