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Today, I chat with Gianclaudio Malgieri, an expert in privacy, data protection, AI regulation, EU law, and human rights. Gianclaudio is an Associate Professor of Law at Leiden University, the Co-director of the Brussels Privacy Hub, Associate Editor of the Computer Law & Security Review, and co-author of the paper "The Unfair Side of Privacy Enhancing Technologies: Addressing the Trade-offs Between PETs and Fairness". In our conversation, we explore this paper and why privacy-enhancing technologies (PETs) are essential but not enough on their own to address digital policy challenges.
Gianclaudio explains why PETs alone are insufficient solutions for data protection and discusses the obstacles to achieving fairness in data processing – including bias, discrimination, social injustice, and market power imbalances. We discuss data alteration techniques such as anonymization, pseudonymization, synthetic data, and differential privacy in relation to GDPR compliance. Plus, Gianclaudio highlights the issues of representation for minorities in differential privacy and stresses the importance of involving these groups in identifying bias and assessing AI technologies. We also touch on the need for ongoing research on PETs to address these challenges and share our perspectives on the future of this research.
Topics Covered:
Resources Mentioned:
Guest Info:
Privado.ai
Privacy assurance at the speed of product development. Get instant visibility w/ privacy code scans.
TRU Staffing Partners
Top privacy talent - when you need it, where you need it.
Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.
Copyright © 2022 - 2024 Principled LLC. All rights reserved.
63 つのエピソード
Today, I chat with Gianclaudio Malgieri, an expert in privacy, data protection, AI regulation, EU law, and human rights. Gianclaudio is an Associate Professor of Law at Leiden University, the Co-director of the Brussels Privacy Hub, Associate Editor of the Computer Law & Security Review, and co-author of the paper "The Unfair Side of Privacy Enhancing Technologies: Addressing the Trade-offs Between PETs and Fairness". In our conversation, we explore this paper and why privacy-enhancing technologies (PETs) are essential but not enough on their own to address digital policy challenges.
Gianclaudio explains why PETs alone are insufficient solutions for data protection and discusses the obstacles to achieving fairness in data processing – including bias, discrimination, social injustice, and market power imbalances. We discuss data alteration techniques such as anonymization, pseudonymization, synthetic data, and differential privacy in relation to GDPR compliance. Plus, Gianclaudio highlights the issues of representation for minorities in differential privacy and stresses the importance of involving these groups in identifying bias and assessing AI technologies. We also touch on the need for ongoing research on PETs to address these challenges and share our perspectives on the future of this research.
Topics Covered:
Resources Mentioned:
Guest Info:
Privado.ai
Privacy assurance at the speed of product development. Get instant visibility w/ privacy code scans.
TRU Staffing Partners
Top privacy talent - when you need it, where you need it.
Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.
Copyright © 2022 - 2024 Principled LLC. All rights reserved.
63 つのエピソード
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