Scientific challenges, practical methodologies and policy perspectives for trustworthy AI

This is a talk given by Emilia Gomez as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org.

Abstract:

This talk addresses the links between academic research, engineering practices and policy perspectives in the field of trustworthy artificial intelligence (AI) from a European perspective. We provide a summary of the European approach for AI, analyze relevant ethical guidelines and ongoing legal initiatives, and outline some interdisciplinary scientific challenges for ensuring trustworthiness in different types of AI systems, from autonomous driving to music recommender systems.

More information

Link to the talk: https://eu.bbcollab.com/guest/186b1c65f74b4189ad852fb9ab0e137e

Organisers

The organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization
Emilio Carrizosa, IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Nuria Gómez-Vargas, IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Thomas Halskov, Copenhagen Business School
Dolores Romero Morales, Copenhagen Business School