My Data is Mine Award – 2025 edition

The My Data is Mine Award is aimed at supporting young scholars with an innovative approach to data protection issues and who can offer a visionary contribution to data processing in Europe and worldwide. Each year, the best paper is recognized at the Web Summit in Lisbon.

Empowering the Next Generation of Data Rights Leaders

For the third consecutive year, the Award is honored to receive the patronage of the European Data Protection Supervisor (EDPS), reaffirming its relevance and impact in the field of digital rights. This year’s Call for Papers, titled “Digital Fairness and Data Protection in the Age of AI,” focused on the impact of AI-driven technologies on consumer interactions, fairness, and autonomy. Read the Call for Papers 2025.

2025 Award ceremony

Relive the Award ceremony

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Pratiksha Ashok (Tilburg University) receives the My Data Is Mine Award 2025 at Web Summit Lisbon for her award-winning paper, “The Goldilocks Standard: Machine Unlearning and the Right to Be Forgotten Under Emerging Legal Frameworks.”

4 publications

6th November 2025

THE GOLDILOCKS STANDARD – Machine Unlearning and the Right to be Forgotten Under Emerging Legal Frameworks
// WINNER

This paper critically examines the legal frameworks that impose requirements for machine unlearning, the process by which AI systems forget previously learned information upon request. It focuses on the General Data Protection Regulation (GDPR) and the Data Act, highlighting how these laws have set early benchmarks that technical standards are only now beginning to meet.

Written by: Pratiksha Ashok
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5th November 2025

AI Memorisation and Anonymisation under the GDPR
// SPECIAL MENTION

This paper examines the extent to which the General Data Protection Regulation (GDPR) applies to artificial intelligence (AI) models in light of the inherent memorisation of data during their training. Central to this inquiry is the concept of anonymisation and whether it should be assessed under an “objective” standard, requiring irreversibility for any party, or a “subjective” one, dependent on the means reasonably available to a specific controller.

Written by: Francisco Arga e Lima
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5th November 2025

Fairness by Design: An Empowering tool for Personal Data Processing in AI systems
// SPECIAL MENTION

Fairness has long stood at the centre of European data-protection law, yet remains its most ambiguous and least implemented principle. In the age of AI—where automated models mediate access to knowledge, work, and opportunity—such ambiguity is untenable. This paper reclaims fairness as an empowerment mechanism rather than a procedural formality.

Written by: Ayça Atabey
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11th March 2025

CALL FOR PAPERS | “Digital Fairness and Data Protection in the age of AI”

The sixth edition, which will take place in Lisbon during the 2025 Web Summit, aims to stimulate academic research on the innovative approach to data protection issues and who can offer a visionary contribution to data processing in Europe and worldwide.

Written by: CEP
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