13:00 hrs

Reinforcement Learning for Motion Planning in Humanoid Robots

Dr. Marco Negrete · Professor at the School of Engineering, UNAM; Head of the LIRA Laboratory.

13:30 hrs

Artificial Intelligence Using Genetic Algorithms Applied to Generate Behaviors for Mobile Robots

Dr. Jesús Savage · Professor at the School of Engineering, UNAM; Head of the Bio-Robotics Laboratory.

COFFEE BREAK

14:00 hrs

Interpretable AI: The road to safe and accountable applications of artificial intelligences

Dr. Mattias Wahde · Professor of Applied Artificial Intelligence, Department of Mechanical Engineering, Chalmers University of Technology, Göteborg, Sweden.

Abstract:

In this talk, I will make the case for using human-interpretable (glass-box) approaches in high-stakes AI applications, such as, for example automated driving, credit scoring, healthcare, and so on. I will describe both glass-box and black-box (neural) systems, and will then contrast them by means of several real-world examples, considering both performance and interpretability as criteria for the comparison.

Short biography:

Mattias Wahde is professor of Applied Artificial Intelligence at Chalmers University of Technology, in Gothenburg, Sweden, where he leads the Applied Artificial Intelligence research group. His research interests involve many different aspects of artificial intelligence, including natural language processing, mobile robots, and stochastic optimization, as well as applications in several different fields, e.g., text classification, AI-based healthcare, automated transportation, and computational finance. He has written numerous publications related to these and other applications of AI. He also teaches courses in stochastic optimization algorithms, intelligent agents, and artificial intelligence in general. He has supervised 10 PhD students and more than 100 MSc students, and is also the author of a textbook on biologically inspired optimization methods.