Lecture Series "Explainable AI and Society", Vol. 2
ISHPSS
Hybrid
lecture series: Explainable AI and Society, Vol. 2
Modern AI can be used to drive cars, to decide on loans, or
to detect cancer. Yet, the inner workings of many AI systems
remain hidden – even to experts. This is
socially unacceptable. But how can we
make complex, self-learning systems explainable? What kinds
of explanations are we looking for when demanding that AI
must be explainable? And which societal, ethical and legal
desiderata can actually be satisfied via explainability?
With the
second installment of our hybrid, interdisciplinary lecture
series, we will continue to explore the potentials of and
questions within the rising field of Explainable Artificial
Intelligence (XAI). The lectures can be attended both online
and on campus in Saarbrücken. For further information and
registration, please visit www.eis.science/lectures.
Lecture dates
(all dates and times CEST):
21 Apr’ 22 6:15 pm,
IYAD RAHWAN (Max Planck Institute for Human Development,
Psychology) :
“Why we need a science of Machine Behavior”
19 May ’22 6:15 pm
MORITZ HARDT (Max Planck Institute for Intelligent Systems,
Computer Science):
“The invisible hand of prediction”
09 Jun ’22 6:15 pm
KATE VREDENBURGH (London School of Economics, Philosophy):
“Justification, Decision Thresholds, and Randomness”
14 Jul ’22 6:15 pm
HERBERT ZECH (Humboldt Universität zu Berlin, Law):
“Liability for AI”
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Dr. Astrid Schomäcker
Postdoctoral Researcher and Project Coordinator
Explainable Intelligent Systems