Habemus a Right to an Explanation: so What? – A Framework on Transparency-Explainability Functionality and Tensions in the EU AI Act

The European Union’s Artificial Intelligence Act (AI Act), finalized in February 2024, mandates transparency and explainability requirements for AI systems to enable effective oversight and safeguard fundamental rights. Yet the practical implementation of these requirements faces challenges due to tensions between the need for meaningful explanations and their potential risks. This research proposes the Transparency-Explainability Functionality and Tensions (TEFT) framework to analyze the interplay of legal, technical, and socio-ethical factors shaping the realization of algorithmic transparency and explainability in the EU context. Through a two-pronged approach combining a focused literature review and an in-depth examination of the AI Act’s provisions, we identify key friction points and challenges in operationalizing the right to explanation. The TEFT framework maps the interests and incentives of various stakeholders, including AI providers & deployers, oversight bodies, and affected individuals, while considering their goals, expected benefits, risks, possible negative impacts, and context to algorithmic explainability.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-21
DOI
https://doi.org/10.5281/zenodo.14041248
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Habemus a Right to an Explanation: so What? – A Framework on Transparency-Explainability Functionality and Tensions in the EU AI Act

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Habemus a Right to an Explanation: so What? – A Framework on Transparency-Explainability Functionality and Tensions in the EU AI Act

article en

Abstract

The European Union’s Artificial Intelligence Act (AI Act), finalized in February 2024, mandates transparency and explainability requirements for AI systems to enable effective oversight and safeguard fundamental rights. Yet the practical implementation of these requirements faces challenges due to tensions between the need for meaningful explanations and their potential risks. This research proposes the Transparency-Explainability Functionality and Tensions (TEFT) framework to analyze the interplay of legal, technical, and socio-ethical factors shaping the realization of algorithmic transparency and explainability in the EU context. Through a two-pronged approach combining a focused literature review and an in-depth examination of the AI Act’s provisions, we identify key friction points and challenges in operationalizing the right to explanation. The TEFT framework maps the interests and incentives of various stakeholders, including AI providers & deployers, oversight bodies, and affected individuals, while considering their goals, expected benefits, risks, possible negative impacts, and context to algorithmic explainability.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 47%
Ethics and Social Impacts of AI
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