“Artificial intelligence will transform the job market”

After receiving the 12th Frontiers of Knowledge Award in Information and Communication Technologies, Bernhard Schölkopf explains in this interview how his work on machine learning and causality has influenced the evolution of artificial intelligence. Through his focus on algorithms that learn underlying structures in data, rather than just superficial correlations, he explains why understanding causes is crucial for developing more robust and explanatory systems. His reflection underscores the importance of integrating theory, algorithms, and applications to advance toward a more transparent and reliable AI.

The BBVA Foundation Frontiers of Knowledge Award in the Information and Communications Technology category has gone in this twelfth edition to Isabelle Guyon, Bernhard Schölkopf and Vladimir Vapnik, for their “fundamental contributions to machine learning,” in the words of the committee.