On the path to the future: mapping the notion of transparency in the EU regulatory framework for AI

Varošanec, Ida

doi:10.1080/13600869.2022.2060471

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Limits Of Transparency For Ai: Is There a Need For A New Set...1

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Cited by 6 publications

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“…"Transparency is the currency of trust, [i]t offers clarity and certainty". 213 In case of a lack of transparency, it is challenging to pinpoint and establish potential legal violations, particularly those that safeguard fundamental rights, assign responsibilities and fulfill requirements for compensation claims. 214 In order to help us understand our world and predict the future, more and more advanced algorithms are emerging every day.…”

Section: Limits Of Transparency For Ai: Is There a Need For A New Set...mentioning

confidence: 99%

Privacy and Transparency in an AI-driven World: Does Algorithmic Transparency Fit on Data Privacy Under GDPR?

Gasimova

2023

SSRN Journal

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Section: Limits Of Transparency For Ai: Is There a Need For A New Set...mentioning

confidence: 99%

Privacy and Transparency in an AI-driven World: Does Algorithmic Transparency Fit on Data Privacy Under GDPR?

Gasimova

2023

SSRN Journal

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AI Regulation in the EU: The Future Interplay Between Frameworks

Schütte

2023

YSEC Yearbook of Socio-Economic Constitutions

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Transparency for AI systems: a value-based approach

Buijsman

2024

Ethics Inf Technol

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With the widespread use of artificial intelligence, it becomes crucial to provide information about these systems and how they are used. Governments aim to disclose their use of algorithms to establish legitimacy and the EU AI Act mandates forms of transparency for all high-risk and limited-risk systems. Yet, what should the standards for transparency be? What information is needed to show to a wide public that a certain system can be used legitimately and responsibly? I argue that process-based approaches fail to satisfy, as knowledge about the development process is insufficient to predict the properties of the resulting system. Current outcome-based approaches [Mitchell et al., 2019; Loi et al., 2021] are also criticized for a lack of attention to the broader socio-technical system and failure to account for empirical results that show that people care about more than just the outcomes of a process [as reported by Meyerson et al. (Procedural justice and relational theory: Empirical, philosophical, and legal perspectives, Taylor & Francis, 2021)]. Instead, I propose value-based transparency, on which the information we need to provide is what values have been considered in the design and how successful these have been realized in the final system. This can handle the objections to other frameworks, matches with current best practices on the design of responsible AI and provides the public with information on the crucial aspects of a system’s design.

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On the path to the future: mapping the notion of transparency in the EU regulatory framework for AI

Cited by 6 publications

References 44 publications

Privacy and Transparency in an AI-driven World: Does Algorithmic Transparency Fit on Data Privacy Under GDPR?

Privacy and Transparency in an AI-driven World: Does Algorithmic Transparency Fit on Data Privacy Under GDPR?

AI Regulation in the EU: The Future Interplay Between Frameworks

Transparency for AI systems: a value-based approach

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