[Kdml] EuADS Summer School "Data Science for Explainable and ,Trustworthy AI"

The European Association for Data Science (EuADS) is pleased to announce the next edition of its summer school series. What: EuADS Summer School on Data Science for Explainable and Trustworthy AI When: 7-9 June, 2022 Where: Chambre de Commerce, Kirchberg, Luxembourg Register until: May 31st, 2022 With an ever increasing number of applications of artificial intelligence (AI), there is also a growing need to establish trust in AI systems. In this regard, a major obstacle is a lack of understanding of the inner working of many of such systems and AI models, even among AI experts. Explainable AI (XAI) aims to develop methods that are able to explain how decisions are made and actions are taken by the machine, in a way that is understandable to humans. Its goal is to make AI more transparent, to increase trust in the technology, and to ensure that it is used in an ethical way. In this regard, trustworthy AI becomes important to ensure an ethical, transparent, and accountable use of AI systems. AI should be aligned with the values and interests of the society, and make sure that the use of AI systems does not lead to unfair or discriminating outcomes. In a series of tutorials by renowned international experts, the EuADS Summer School 2023 will elaborate on the role of data science in XAI and explain how data science methods can help to increase transparency and establish trust in AI systems. The Summer School is preceded by a public event on Tuesday, June 6th, in which Wolfgang Härdle (HU Berlin, https://www.wiwi.hu-berlin.de/de/administration/fakultaetsverwaltung/Staff/… ) will deliver the Sabine Krolak-Schwerdt Lecture. The public event will be followed by a welcome reception. The Summer School is planned as an in-person event and the symposium as an hybrid event. For more information about both events and registration see: https://www.euads.org/fjkdlasjdiglsmdgkcxjhvckh/euads-summer-school-913/