Bernhard Schölkopf

LLMs are more willing to compromise economic and social rights than political and civil rights, revealing a systematic bias in their understanding of human rights principles.

A global consensus on AI safety risks and capabilities has emerged from a panel of 100+ independent experts, representing a landmark effort in international collaboration.

LLMs readily parrot historical revisionism when prompted, highlighting a critical vulnerability in their use as reliable sources of information.

General-purpose Causal Foundation Models can now match the performance of specialized causal models by incorporating partial causal graph information via attention bias, unlocking a more unified approach to causal inference.