Palestra | Affective Artificial Intelligence: Applications and Opportunities | Prof. Daniel Cabrera-Paniagua, Universidad de Valparaíso, Chile

Título: Affective Artificial Intelligence: Applications and Opportunities

Local: 2077

Data e horário: 08/11 às 10h30

Por: Professor Daniel  Cabrero, da Escuela de Ingeniería Informática, Universidad de Valparaíso (UV), Chile.

A palestra deve ser em inglês (pois deve ser mais fácil que portunhol ou português), mas o Prof. Daniel entende bem e consegue falar português.


Affective artificial intelligence represents an opportunity in the development of the next generation of technological solutions aimed at supporting decision-making processes, particularly in contexts where people can delegate/trust their decisions in technological devices and systems with autonomous reasoning and behavior (e.g. Ambient Intelligence; Smart City). In this presentation there will be an introduction to Artificial Intelligence, with examples from cinema and the industry. Some topics of human affectivity and behavior will be discussed, and how to consider them in AI systems. Finally, some applications on affective AI and development opportunities will be presented.


Daniel Cabrera-Paniagua is an associate professor at the Escuela de Ingeniería Informática, Universidad de Valparaíso (UV), Chile. Professor of undergraduate and graduate programs, he is an Academic Board member of both PhD in Applied Informatics Engineering (UV) and MSc in Applied Informatics (UV).

 PhD in Informatics Engineering from the Pontifical Catholic University of Valparaíso, Chile. His research lines focus on Artificial Intelligence, Affective Computing, and Autonomous Systems. He is author of multiple international publications in Web of Science – WOS indexed journals.

 Editor of the book “Innovación. Perspectivas Multidisciplinarias”, RiL Editores, 2021. Researcher responsible for the FONDECYT project No. 11190370, “Artificial Somatic Markers for Cognitive Agents as Autonomous Decision-Making Systems”, 2019-2022, ANID-Chile. Co-Investigator of the FONDECYT project No. 1211905, “Analyzing communication and collaboration in workgroups through a multimodal learning analytics framework to improve agile practices”, 2021-2025, ANID-Chile. Founder and coordinator of the Artificial Intelligence for Smart Decisions Research Group, INF-UV.

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