− CLIMATE — Artificial intelligence is often associated with ludicrous amounts of electricity, and therefore planet-heati…+ EDUCATION — While many schools in England have banned smartphones, in Estonia – regarded as the new European education po…− EDUCATION — In a Cambridge classroom, Joseph, 10, trained his AI model to discern between drawings of apples and drawings…− EDUCATION — OpenAI CEO Sam Altman recently told a US podcast that if he was graduating today, “I would feel like the luck…− EDUCATION — I disagree with the decision of lecturers to use artificial intelligence to create teaching materials (‘We co…− BUSINESS — Americans are growing worried about what artificial intelligence portends for their futures. Eight in 10 Amer…− BUSINESS — Accenture has reportedly begun calling its near 800,000 employees “reinventors”, as the consultancy tries to…− LABOR — US workers overwhelmingly support pro-worker policies on artificial intelligence (AI) and view labor unions a…
TruaceTracing the truth around AISunday, July 12, 2026
Subscribe
TRV-2026-0056Version 4 · Sources changed

Written 2026-07-12 20:51:05 UTC · current record

Reason for this version

Source set updated

Canonical text (the exact bytes fingerprinted)

TRUVACE RECORD VERSION
record: TRV-2026-0056
version: 4
kind: sources_changed
reason: Source set updated
timestamp: 2026-07-12T20:51:05.342299Z
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 result, I give a detailed overview of the field of AI ethics. Finally, I also examine to what extent the respective ethical principles and values are implemented in the practice of research, development and application of AI systems—and how the effectiveness in the demands of AI ethics can be improved.
gain_reading: Finally, I also examine to what extent the respective ethical principles and values are implemented in the practice of research, development and application of AI systems, and how the effectiveness in the demands of AI ethics can be improved.
problem_reading: (none)
limitation: Historical research candidate. An editor must verify study design, population, effect size, and whether later evidence changes the reading before publication.
tag: Evidence-backed gain
key_points: 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.
rundown: 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.
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 | 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: b47a4d34c10bfb419c7543b3158650f0475c9f00feea60605e3a278eca5f4b2c
sha256
8f8c90e3dec801efb338531b108b4ca4ba76de55498547049c0d5d3906e72dbc
previous
b47a4d34c10bfb419c7543b3158650f0475c9f00feea60605e3a278eca5f4b2c
Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-0056 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.