Special Edition on Dissemination Pieces: ESRs Insights on Law and Technology (Part II)

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This post is a continuation of the blog post series on dissemination pieces. You can find the first part of the series here.

Cristian Lepore – ESR 4: Self-Sovereign Identity: The Revolution in Digital Identity

Digital identity is important for businesses and governments to grow. When apps or websites ask us to create a new digital identity or log in using a big platform, we do not know what happens to our data. That is why experts and governments are working on creating a safe and trustworthy digital identity. This identity would let anyone file taxes, rent a car, or prove their financial income easily and privately. This new digital identity is called Self-Sovereign Identity (SSI). In our work, we propose an SSI-based model to evaluate different identity options and we then prove our model value on the European identity framework.

Mitisha Gaur – ESR 5: Policing the AI Judge: A Balancing Act
AI is ubiquitous in public and private sectors used for optimizing tasks through complex data analysis. While the technology is promising, its use in high-risk domains raises concerns about trust, fairness, and accountability. This chapter analyzes AI backed automated decision-making systems being used by public authorities and advocates for a strict governance framework based on risk management and algorithmic accountability practices focused on safeguarding fundamental rights and upholding the rule of law by adhering to the principles of natural justice.
Maciej Zuziak – ESR 6: How to Collaboratively Use Statistical Models in a Secure Way
The following article compiles research on the brink of privacy, federated learning and data governance to provide a reader with a basic understanding of the nuanced world of decentralised learning systems. It starts from simple notions of personal data and its connection to artificial intelligence. Afterwards, it goes into the realm of statistical learning to explain the basic technocratic lingo in a (hopefully) engaging way. With those topics covered, it proceeds to deliver on the basic notion of Data Collaborative and Decentralised Data Governance – an arcane term that the reader will be familiar with at the end of this lecture. Finally – it poses some open-ended remarks on whether the centralized infrastructure is really beneficial to our safety. While the delivery of the article is rather simple and straightforward – it also serves the curious reader with a set of links and pointers that would allow them to go deeper into a well of data governance and large AI infrastructure.