13:00 hrs

Aprendizaje por refuerzo para planeación de movimientos en robots humanoides

Dr. Marco Negrete · Profesor de la Facultad de Ingeniería, UNAM; responsable del laboratorio LIRA.

13:30 hrs

Inteligencia Artificial utilizando algoritmos genéticos aplicados para generar comportamientos para robots móviles

Dr. Jesús Savage · Profesor de la Facultad de Ingeniería, UNAM; responsable del laboratorio de Bio-Robótica.

Breve Receso

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.

Resumen (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.

Semblanza (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.