Professor BERND STAHL Bernd.Stahl@nottingham.ac.uk
Professor of Critical Research in Technology
Assessing the ethical and social concerns of artificial intelligence in neuroinformatics research: an empirical test of the European Union Assessment List for Trustworthy AI (ALTAI)
Stahl, Bernd Carsten; Leach, Tonii
Authors
Tonii Leach
Abstract
Ethical and social concerns are a key obstacle to the adoption of artificial intelligence (AI) in the life sciences and beyond. The discussion of these issues has intensified in recent years and led to a number of approaches, tools and initiatives. Key amongst them is the idea of ex-ante impact assessments that aim to identify issues at the early stages of development. One prominent example of such ex-ante impact assessment is the European Union's (EU) Assessment list for Trustworthy AI (ALTAI). This article uses the findings of a large-scale application of the ALTAI to a large neuro-informatics project as an exemplar to demonstrate the effectiveness and limitations of the ALTAI in practice. The article shows that ex-ante impact assessment has the potential to help identify and address ethical and social issues. However, they need to be understood as part of a broader socio-technical ecosystem of AI. For ALTAI and related approaches to be useful in bio-medical research, they should be interpreted from a systems theory perspective which allows for their integration into the rich set of tools, legislation and approaches. The paper argues that ex-ante impact assessments have the best chance of being successful if seen applied in conjunction with other approaches in the context of the overall AI ecosystem.
Citation
Stahl, B. C., & Leach, T. (2023). Assessing the ethical and social concerns of artificial intelligence in neuroinformatics research: an empirical test of the European Union Assessment List for Trustworthy AI (ALTAI). AI and Ethics, 3, 745-767. https://doi.org/10.1007/s43681-022-00201-4
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 21, 2022 |
Online Publication Date | Sep 19, 2022 |
Publication Date | 2023-08 |
Deposit Date | Oct 20, 2022 |
Publicly Available Date | Oct 21, 2022 |
Journal | AI and Ethics |
Electronic ISSN | 2730-5961 |
Publisher | Springer Science and Business Media LLC |
Peer Reviewed | Peer Reviewed |
Volume | 3 |
Pages | 745-767 |
DOI | https://doi.org/10.1007/s43681-022-00201-4 |
Keywords | ALTAI ; Artificial intelligence ; Ethics ; Impact assessment |
Public URL | https://nottingham-repository.worktribe.com/output/12620562 |
Publisher URL | https://link.springer.com/article/10.1007/s43681-022-00201-4 |
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