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With its Speaker Series, the TUM Institute for Ethics in Artificial Intelligence invites experts from all over the world to talk about ethics and governance of AI. These events serve as an important platform for sharing new research and exchanging knowledge.

This session of the TUM IEAI Speaker Series will take place on May 12th virtually via Zoom at 2:00 pm CEST. The topic of the session will be “Algorithms for Humanitarian and Development Work”.

We are pleased to announce that the speaker for this session is Dr. Manuel García-Herranz.

Dr. Manuel García-Herranz is Chief Scientist at UNICEF’s Frontier Data initiative. Working with the Data and Analytics, ICT and Office of Innovation division at UNICEF he focuses on bridging the gap between Data Science and the most vulnerable, exploring how to apply Big Data, Complex Systems theory, and Artificial Intelligence to help the most deprived and invisible. Fields of application include growing humanitarian problems such as epidemics, natural disasters, and migration as well as transversal issues such as poverty, data representativeness and algorithmic equity.

Manuel holds a PhD in computer science from the Universidad Autonoma de Madrid. He joined UNICEF in 2014 and has been since working to bring the value of Big Data to UNICEF, leading research at UNICEF’s Office of Innovation and creating collaboration networks and Data Science tools that focus on the problems of the most vulnerable children.

This event is being photographed and/or video recorded for archival, educational, and related promotional purposes. We also video stream many of these video recordings through the IEAI web site. By attending or participating in this event, you are giving your consent to be photographed and/or video recorded and you are waiving any and all claims regarding the use of your image by the Institute of Ethics in Artificial Intelligence. The IEAI, at its discretion, may provide a copy of the photos/footage upon written request.

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The Zoom link will be sent to you at the day of the event.