Next Monday, 8 March 2021, Prof. Gianclaudio Malgieri will present his co-authored paper “Impossible Explanations? Beyond explainable AI in the GDPR from a COVID-19 Use Case Scenario” at the ACM FAccT Conference 2021 in Toronto (that will be held online). The paper has been coauthored by Ronan Hamon and Henrik Junklewitz (both from the European Commission – Joint Research Center) that are first authors together with Gianclaudio Malgieri. Other co-authors were Professor Paul De Hert (VUB- LSTS; Tilburg University), Laurent Beslay and Ignacio Sanchez (both from the European Commission Joint Research Center).
The paper addresses the following research question: Can we achieve an adequate level of explanation for complex machine learning models in high-risk AI applications when applying the EU data protection framework?
Starting from it shows a case study of a real-life scenario designed to illustrate the application of an AI-based automated decision making process for the medical diagnosis of COVID-19 patients. The scenario exemplifies the trend in the usage of increasingly complex machine-learning algorithms with growing dimensionality of data and model parameters. Based on this setting, we analyse the challenges of providing human legible explanations in practice and we discuss their legal implications following the General Data Protection Regulation (GDPR).
The paper has been accepted for publication in the ACM FAccT Proceedings.
His speech is scheduled at 9 PM (CET) and the Q&A will proceed till 10:30 (CET) PM.
The full schedule is available here.
Recent Comments