“Just” Algorithms – Justification (Beyond Explanation) of Automated Decisions under the GDPR

• Jurisdiction: European Union
• Year: 2022
• Author: Gianclaudio Maglieri

Speaker

Gianclaudio Malgieri is an Associate Professor of Law & Technology at the EDHEC Business School in Lille (France), where he conducts research at the Augmented Law Institute and teaches Data Protection Law, AI regulation, Digital Law.

He is also Core Academic Team member of the Brussels Privacy Hub; Editorial Board Member of Computer Law and Security Review; External Expert at the Research Executive Agency of the European Commission and Attorney at Law in Italy. He obtained a PhD in Law at the Law, Science, Technology and Society (LSTS) Research Centre of the Free University of Brussels (VUB), where he is now Affiliated Researcher and Guest Professor.

Topic

In this presentation, Gianclaudio Malgieri delves into the intricacies of regulating automated decision-making within the context of the General Data Protection Regulation (GDPR). He focuses on how to reach a good level of algorithmic accountability and fairness within the framework of the GDPR provisions.

Malgieri recognizes that in today's digital landscape, automated decision-making systems play an increasingly significant role in shaping our lives. These systems, fueled by vast amounts of data and powered by sophisticated algorithms, have the potential to affect individuals and communities in profound ways. However, with great power comes great responsibility, and it becomes crucial to establish a robust regulatory framework that upholds the principles of accountability and fairness.

One of the key aspects Malgieri emphasizes is the importance of transparency in automated decision-making. The GDPR stresses the need for individuals to have a clear understanding of how their data is being used and how algorithms make decisions that impact them. Malgieri explores strategies to achieve transparency, such as providing meaningful explanations for algorithmic outcomes and ensuring that individuals are aware of the underlying logic behind automated decisions.

Moreover, Malgieri delves into the concept of algorithmic bias and its potential to perpetuate discrimination and inequality. He highlights the significance of addressing bias within automated decision-making systems to ensure...