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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

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) Thumbnail


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.

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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