For Otherwise We Don’t Know What They Are Doing: Why AI Systems Need to Be Explainable

Intelligent systems increasingly support or take over human decisions. This development influences all areas of human life: Intelligent systems recommend new shows on streaming portals, support online searches by giving recommendations, automatically screen thousands of applicants, predict crime, or support medical diagnosis. Systems support human decision-making and work tasks by filtering and analyzing information, providing […]

Delivering EIS to the Broad Public II

Kevin Baum continues to deliver insights from our project to the broad public in four non-scientific talks this month alone. The second two are taking place this week. On June 24, Kevin will give a talk on the ethical dimensions of algorithms used to predict remaining lifetime and premature deaths at the Hospizgespräche of the […]

Eva Schmidt presents “Künstliche Intelligente Systeme: Vertrauen und Verstehen” at University of Zurich

On Monday, May 27, at 4:15 pm, Eva Schmidt will give a talk entitled “Künstliche Intelligente Systeme: Vertrauen und Verstehen”/”Artificial Intelligent Systems: Trust and Understanding” as part of a cycle of lectures on artificial intelligence organized by the philosophy students at the University of Zurich.

EIS at Saarland University’s Open Day

EIS is contributing two talks to Saarland University’s open day. Timo Speith (research assistant: Chair of Theoretical Philosophy) will give an introduction to the Dimensions of Machine Explainability (10 am, room HS 26, building B4 1). After that, Kevin Baum (research assistant: Chair of Practical Philosophy, Dependable Systems Group) will present current research regarding the […]

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