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Fernando Diaz

Fernando Diaz

Appointment

  • Canada CIFAR AI Chair

AI Institute

  • Mila

About

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

Expertise:
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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