Day 3 – Challenges in Big / Small Personal Data Analytics

How to create value from personal data without compromising privacy?

Day 3 – Challenges in Big / Small Personal Data Analytics

This session approaches big data from the MyData perspective. Sophisticated machine learning algorithms are widely used to analyse large personal data collections to provide personalised services for users. Sometimes the level of personalisation can go too deep and expose things that we would rather keep secret. The main question for this sessions is how can we keep increasing the value gained from analysing personal data while at the same time respecting the privacy of the individual people.

Oguzhan Gencoglu – Why is your data valuable? : A machine learning and AI perspective

The presentation will delve into fairness, interpretability, accountability and transparency of machine learning algorithms from the “My Data” point of view. Opportunities, initiatives and challenges of discrimination- & privacy-aware data mining will be discussed, as well as the status of the recent developments in AI research and connection to personal data standpoint.

Jb Piacentino – Search Engines – Personal Data friend or foe?

As we use Web and more and more connected objects, we create large collections of personal data that are mostly kept away from us, and only accessible to advertisers and businesses. What if we could search our personal data as easily as we do on the Web? This talk discusses key use cases, opportunities, conditions and limitations for trust and engagement with such a service.

Berit Skjernaa – Cryptography as an enabler for data analysis

The presentation proposes a solution for allowing highly sensitive personal data to be analytically processed with only the result being exposed. In this way more valuable data, for instance from healthcare, can be more widely available for analytics. Some real world implementation examples will be given, as well as proposals for future development.

David Robert – Self-Sovereign Identifier(s) for Personal Data Ownership and Usage Control

Measuring where and how individuals’ data are used is of real concern for the digital market. A series of experts from different EU countries have carried out an analysis of technological and legal context in view of defining Self-Sovereign Identifier(s) that would serve as a measurement tool to empower individuals, help them take control of their data, and make their fundamental right to privacy more actionable.

Panel discussion & Q&A: All speakers + host