The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Patiency is not a virtue: the design of intelligent systems and systems of ethics
Open accessAbstract
The question of whether AI systems such as robots can or should be afforded moral agency or patiency is not one amenable either to discovery or simple reasoning, because we as societies constantly reconstruct our artefacts, including our ethical systems. Consequently, the place of AI systems in society is a matter of normative, not descriptive ethics. Here I start from a functionalist assumption, that ethics is the set of behaviour that maintains a society. This assumption allows me to exploit the theoretical biology of sociality and autonomy to explain our moral intuitions. From this grounding I extend to consider possible ethics for maintaining either human- or of artefact-centred societies. I conclude that while constructing AI systems as either moral agents or patients is possible, neither is desirable. In particular, I argue that we are unlikely to construct a coherent ethics in which it it is ethical to afford AI moral subjectivity. We are therefore obliged not to build AI we are obliged to.
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Cites
The genetical evolution of social behaviour. I
Hamilton, W. D. (1964) · Journal of Theoretical Biology · doi:10.1016/0022-5193(64)90038-4 · Cited by 15,725
The Evolution of Reciprocal Altruism
Trivers, R. L. (1971) · The Quarterly Review of Biology · doi:10.1086/406755 · Cited by 11,010
A treatise of human nature (1739-40)
Hume, D. (1996) · The Sublime · doi:10.1017/cbo9780511620409.040 · Cited by 9,842
Cooperation and Punishment in Public Goods Experiments
Fehr, E., & Gächter, S. (2000) · American Economic Review · doi:10.1257/aer.90.4.980 · Cited by 4,547
(1987) · Medical Entomology and Zoology · Cited by 4,269
Dwork, C., Hardt, M., Pitassi, T., Reingold, O., & Zemel, R. (2012) · Proceedings of the 3rd Innovations in Theoretical Computer Science Conference · doi:10.1145/2090236.2090255 · Cited by 3,501
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
Self-citationKitano, H. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1471 · Cited by 2,278
Certifying and Removing Disparate Impact
Feldman, M., Friedler, S. A., Moeller, J., Scheidegger, C., & Venkatasubramanian, S. (2015) · Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2783258.2783311 · Cited by 1,827
Atkinson, A. B. (2015) · Harvard University Press eBooks · doi:10.4159/9780674287013 · Cited by 1,684
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In AI We Trust: Ethics, Artificial Intelligence, and Reliability
Ryan, M. (2020) · Science and Engineering Ethics · doi:10.1007/s11948-020-00228-y · Cited by 600
Ali, O., Abdelbaki, W., Shrestha, A., Elbasi, E., Alryalat, M. A. A., & Dwivedi, Y. K. (2023) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2023.100333 · Cited by 568
Artificial Intelligence Regulation: A framework for governance
de Almeida, P. G. R., dos Santos, C. D., & Farias, J. S. (2021) · Ethics and Information Technology · doi:10.1007/s10676-021-09593-z · Cited by 395
Welcoming Robots into the Moral Circle: A Defence of Ethical Behaviourism
Danaher, J. (2020) · Science and Engineering Ethics · doi:10.1007/s11948-019-00119-x · Cited by 264
McStay, A. (2020) · Big Data & Society · doi:10.1177/2053951720904386 · Cited by 217
Metadata
- Authors
- Bryson, J. J.
- Venue
- Ethics and Information Technology
- Published
- 2018-02-16
- Volume
- 20
- Issue
- 1
- Pages
- 15-26
- ISSN
- 1388-1957 (ISSN-L)
- 1572-8439
- OpenAlex
- W2786522954
- Cited by
- 285
- References
- 84
- FWCI
- 35.62
- Type
- journal article
- Language
- en
- Open access
- hybrid
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