Michèle Finck

According to our database, Michèle Finck authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data.

Henrik Nolte, Michèle Finck, Kristof Meding

CoRR, March, 2025

Robustness and Cybersecurity in the EU Artificial Intelligence Act.

Henrik Nolte, Miriam Rateike, Michèle Finck

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Successful implementation of the EU AI Act requires interdisciplinary efforts.

Christian Montag, Michèle Finck

Nat. Mac. Intell., 2024

2023

Regulating data intermediaries: The impact of the Data Governance Act on the EU's data economy.

Gabriele Carovano, Michèle Finck

Comput. Law Secur. Rev., September, 2023

2022

Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization.

Divya Shanmugam, Fernando Diaz, Samira Shabanian, Michèle Finck, Asia Biega

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

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

Sebastian Bordt, Michèle Finck, Eric Raidl, Ulrike von Luxburg

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice.

Divya Shanmugam, Samira Shabanian, Fernando Diaz, Michèle Finck, Asia Biega

CoRR, 2021

Reviving Purpose Limitation and Data Minimisation in Personalisation, Profiling and Decision-Making Systems.

Michèle Finck, Asia Biega

CoRR, 2021

2020

Operationalizing the Legal Principle of Data Minimization for Personalization.

Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020