The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.
Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies
Open accessAbstract
This open access book offers a novel conceptualization of the AI ethics debate by applying the discourse of innovation ecosystems to AI
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Citations
Cites
A Ladder Of Citizen Participation
Arnstein, S. R. (1969) · Journal of the American Institute of Planners · doi:10.1080/01944366908977225 · Cited by 17,064
High-performance medicine: the convergence of human and artificial intelligence
Topol, E. J. (2019) · Nature Medicine · doi:10.1038/s41591-018-0300-7 · Cited by 10,450
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290
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Posthumanist Performativity: Toward an Understanding of How Matter Comes to Matter
Barad, K. (2003) · Signs: Journal of Women in Culture and Society · doi:10.1086/345321 · Cited by 7,055
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
The Stakeholder Theory of the Corporation: Concepts, Evidence, and Implications
Donaldson, T., & Preston, L. E. (1995) · The Academy of Management Review · doi:10.2307/258887 · Cited by 5,846
Corporate Social Responsibility Theories: Mapping the Territory
Garriga, E., & Melé, D. (2004) · Journal of Business Ethics · doi:10.1023/b:busi.0000039399.90587.34 · Cited by 3,968
Women and human development: the capabilities approach
(2000) · Choice Reviews Online · doi:10.5860/choice.38-0369 · Cited by 3,704
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Cited by
Wach, K., Duong, C. D., Ejdys, J., Kazlauskaitė, R., Korzynski, P., Mazurek, G., Paliszkiewicz, J., & Ziemba, E. (2023) · Entrepreneurial Business and Economics Review · doi:10.15678/eber.2023.110201 · Cited by 584
“…such as ChatGPT, to produce credible and human-like texts, its usage may facilitate the development of misleading or false information (Chan, 2023), which then may be used to influence and manipulate people’s emotions, perceptions, or behaviour, often without people even realising it (Stahl, 2021).”
BackgroundAn Overview of Artificial Intelligence Ethics
Huang, C., Zhang, Z., Mao, B., & Yao, X. (2023) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2022.3194503 · Cited by 482
Ali, O., Murray, P. A., Momin, M., Dwivedi, Y. K., & Malik, T. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123076 · Cited by 317
Mana, A. A., Allouhi, A., Hamrani, A., Rehman, S., el Jamaoui, I., & Jayachandran, K. (2024) · Smart Agricultural Technology · doi:10.1016/j.atech.2024.100416 · Cited by 245
Akinrinola, O., Okoye, C. C., Ofodile, O. C., & Ugochukwu, C. E. (2024) · GSC Advanced Research and Reviews · doi:10.30574/gscarr.2024.18.3.0088 · Cited by 206
Metadata
- Authors
- Stahl, B. C.
- Venue
- SpringerBriefs in Research and Innovation Governance
- Publisher
- Springer International Publishing
- Published
- 2021
- ISSN
- 2452-0519 (ISSN-L)
- 2452-0527
- OpenAlex
- W4234956358
- Cited by
- 317
- References
- 125
- FWCI
- 60.68
- Type
- book
- Language
- en
- Open access
- hybrid
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- Stahl, B. C. (2021). Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies. SpringerBriefs in Research and Innovation Governance. https://doi.org/10.1007/978-3-030-69978-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.