Episode #23: AI Risk and Safety Landscape

With the increasing adoption of artificial intelligence (AI)
methods in society, discussions about associated risks and how to
mitigate them have also intensified, as evidenced by efforts to
regulate AI applications in the EU and industry attempts to
provide “safe AI”. However, while there appears to be a general
consensus that AI-supported systems ought to be safe, we also
observe fierce disagreement about which risks should be
considered and what constitutes viable mitigation strategies. In
other words: there is an urgent need to understand what both risk
and safety mean in the context of AI.


In this episode cognitive scientist Benjamin Paaßen (Bielefeld),
computational neuroscientist Elizabeth Herbert (München) and Olle
Häggström, Professor of Mathematical Sciences at Gothenburg
University, talk about the difficulties of defining risk and
safety, about the range of risks that should be considered, as
well as strategies to enhance AI-safety across technical, social
and legal dimensions. They also reflect on the necessity and the
challenges of interdisciplinary collaboration to make progress
with this endeavor.

Links:
Olle Häggström
Elizabeth Herbert
Benjamin Paaßen 
ZiF-Workshop "AI Risk and Safety Landscape"