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Fernando Diaz

Fernando Diaz


  • Canada CIFAR AI Chair
  • Pan-Canadian AI Strategy




Industrial Associate Member, Mila; Assistant Research Director, Microsoft Research, Montréal; Adjunct Professor, School of Computer Science, McGill University

Auditing production systems, information retrieval, (fair) recommender systems, FATE (fairness, accountability, transparency and ethics) machine learning, responsible AI,
social implications of AI

Major Contributions/Awards:
Leader in the field of fairness, accountability, transparency and ethics in AI; British Computer Society Karen Spärck Jones Award (2017); European Conference on Information Retrieval Best Student Paper Award (2011); ACM Special Interest Group on Information Retrieval Best Paper Award (2009)

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