The Data Protection Impact Assessment as a Tool to Enforce Non-Discriminatory AI

Ivanova, Yordanka

doi:10.2139/ssrn.3584219

SSRN Journal

2020

DOI: 10.2139/ssrn.3584219

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The Data Protection Impact Assessment as a Tool to Enforce Non-Discriminatory AI

Yordanka Ivanova

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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

Leach

2022

AI Ethics

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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.

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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

Leach

2022

AI Ethics

View full text Add to dashboard Cite

show abstract

Implementing responsible innovation: the role of the meso-level(s) between project and organisation

Stahl,

Portillo,

Wagner

et al. 2024

Journal of Responsible Innovation

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The Data Protection Impact Assessment as a Tool to Enforce Non-Discriminatory AI

Cited by 2 publications

References 0 publications

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)

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)

Implementing responsible innovation: the role of the meso-level(s) between project and organisation

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