Assistant Professor
University of Southern Denmark (SDU)
Department of Mathematics and Computer Science (IMADA)
Data Science Section
Center for Machine Learning
In my view, understanding why the most powerful AI systems behave the way they do is the most important scientific problem in AI safety. I advance interpretability methods to make AI systems more transparent in order to inform alignment and enable principled control.
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Contact: lukas 'at' lpag.de
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