The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Lessons learned from AI ethics principles for future actions
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“This is increasingly important in scenarios where AI interacts closely with humans, such as in healthcare, finance, and personal assistants, to ensure that AI systems make decisions that are not only technically sound, but also ethically and socially responsible, which means human value alignment is becoming crucial in developing AI systems that are trusted and accepted by society [89], [267].”
From From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape (2025) · cites this paper as [267]
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“However, it should be noted that this reliance on principalism [39] is contested within the biomedical community [79] and has been questioned in the AI field [67,92], but at present remains dominant.”
From From computer ethics and the ethics of AI towards an ethics of digital ecosystems (2022) · cites this paper as [67]
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The global landscape of AI ethics guidelines
Jobin, A., Ienca, M., & Vayena, E. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0088-2 · Cited by 6,220 · cited 1×
“[7] review 84 AI ethics guidelines publicly released.”
BackgroundFloridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., et al. (2018) · Minds and Machines · doi:10.1007/s11023-018-9482-5 · Cited by 4,774
The Black Box Society: The Secret Algorithms That Control Money and Information
Pasquale, F. (2015) · doi:10.4159/harvard.9780674736061 · Cited by 3,796
(2018) · Cited by 3,510
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
Lebovits, H. (2018) · Public Integrity · doi:10.1080/10999922.2018.1511671 · Cited by 3,320
Barocas, S., & Selbst, A. D. (2014) · doi:10.2139/ssrn.2477899 · Cited by 3,048
Semantics derived automatically from language corpora contain human-like biases
Caliskan, A., Bryson, J. J., & Narayanan, A. (2017) · Science · doi:10.1126/science.aal4230 · Cited by 2,887
Algorithms of Oppression: How Search Engines Reinforce Racism
Noble, S. U. (2020) · doi:10.2307/j.ctt1pwt9w5 · Cited by 2,709
(2019) · Cited by 2,637
The age of surveillance capitalism: the fight for a human future at the new frontier of power
Shandler, R. (2019) · Journal of Cyber Policy · doi:10.1080/23738871.2019.1637914 · Cited by 2,113
Research works printed but not linked: 2
- Whittaker, M., Crawford, K., Dobbe, R., Fried, G., Kaziunas, E., Mathur, V., West, S.M., Richardson, R., Schultz, J., Schwartz, O.: AI Now Report 2018, pp. 1–62 https://ainowinstitute.org/AI_Now_2018_Report.pdf (2018)
- Shoham, Y., Perrault, R., Brynjolfsson, E., Clark, J., Manyika, J., Niebles, J.C., Lyons, T., Etchemendy, J., Grosz, B., Bauer, Z.: The AI Index 2018 Annual Report. AI Index Steering Committee, Human-Centered AI Initiative, Stanford University, Stanford (2018)
Cited by
Sorted by citations
Optimizing renewable energy systems through artificial intelligence: Review and future prospects
Ukoba, K. O., Olatunji, K. O., Adeoye, E., Jen, T., & Madyira, D. M. (2024) · Energy & Environment · doi:10.1177/0958305x241256293 · Cited by 645
Munn, L. (2022) · AI and Ethics · doi:10.1007/s43681-022-00209-w · Cited by 476
“Such principles slot neatly into existing corporate playbooks, rarely questioning “the business culture, revenue models, or incentive mechanisms that continuously push these products into the markets” [31, 43].”
BackgroundAI governance: themes, knowledge gaps and future agendas
Birkstedt, T., Minkkinen, M., Tandon, A., & Mäntymäki, M. (2023) · Internet Research · doi:10.1108/intr-01-2022-0042 · Cited by 469
Defining organizational AI governance
Mäntymäki, M., Minkkinen, M., Birkstedt, T., & Viljanen, M. (2022) · AI and Ethics · doi:10.1007/s43681-022-00143-x · Cited by 378
“The third wave aims at promoting practical accountability mechanisms [24].”
BackgroundAhmad, K., Maabreh, M., Ghaly, M., Khan, K., Qadir, J., & Al-Fuqaha, A. (2022) · Computer Science Review · doi:10.1016/j.cosrev.2021.100452 · Cited by 291
“In addition, many individual journal articles [260, 261, 262, 263, 264, 251, 265, 266, 267], and a number of academic journals dedicated special issues to contribute to AI ethics.”
Background
Metadata
- Authors
- Hickok, M.
- Corresponding author
- Hickok, Merve
- ORCID
- Hickok, Merve
- Venue
- AI and Ethics
- Published
- 2020-10-06
- Volume
- 1
- Issue
- 1
- Pages
- 41-47
- ISSN
- 2730-5953 (ISSN-L)
- 2730-5961
- OpenAlex
- W3092523763
- Cited by
- 168
- References
- 34
- Citations by year
- 2026: 25 · 2025: 34 · 2024: 44 · 2023: 27 · 2022: 26 · 2021: 12
- FWCI
- 22.15
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- AI and Ethics (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- AI ethics principles, AI ethics guidelines, algorithmic bias, accountability mechanisms, responsible AI development, big data, AI governance, private sector influence, diversity of voices, ethics in practice
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