|The state of the art in Privacy-Preserving Machine Learning (PPML) is promising from a technical perspective but under-explored if we view it through the lens of legal instruments such as the EU AI Act and the EU Data Act. In this roundtable, we aim to contribute to clearing the path to alternative solutions for processing (personal) data in Machine Learning applications.|
In addition, how and why data is used has become more complex and can no longer be discussed in a binary way. Innovation happens in a myriad of ways. Think, e.g., the use of machine learning to develop new products or to innovate responsibly in that sphere. Machine learning can also be used to advance societal goals or to protect individuals’ fundamental rights. It will be key to take such data needs and technological advancements into account in ongoing and future regulatory discussions on, for example, the EU AI Act, the European Health Data Space (EHDS) Regulation, or a future revision of the GDPR.
Date: 8 December 2022
Time: from 15:00 PM – 17:00 PM CET
Location: Microsoft Center, Rue Montoyer 51, Brussels 1000, Bruxelles
A reception will immediately follow the roundtable.
We will do our best to accommodate as many in-person guests as possible, but please note that only a limited number of in-person places are available.
In Cooperation with Brussels Privacy Hub of Vrije Universiteit Brussel (VUB) and Microsoft.