Search Results for author: Michèle Finck

Found 4 papers, 1 papers with code

Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts

1 code implementation25 Jan 2022 Sebastian Bordt, Michèle Finck, Eric Raidl, Ulrike Von Luxburg

In this paper, we combine legal, philosophical and technical arguments to show that post-hoc explanation algorithms are unsuitable to achieve the law's objectives.

Reviving Purpose Limitation and Data Minimisation in Data-Driven Systems

no code implementations15 Jan 2021 Asia J. Biega, Michèle Finck

This paper determines whether the two core data protection principles of data minimisation and purpose limitation can be meaningfully implemented in data-driven systems.

Decision Making Fairness

Operationalizing the Legal Principle of Data Minimization for Personalization

no code implementations28 May 2020 Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck

Article 5(1)(c) of the European Union's General Data Protection Regulation (GDPR) requires that "personal data shall be [...] adequate, relevant, and limited to what is necessary in relation to the purposes for which they are processed (`data minimisation')".

Recommendation Systems

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