The CogAI Seminar


When Cognitive Sciences Meet Artificial Intelligence

Welcome to the Cognitive Science / Artificial Intelligence Seminar!

Goal

Inspired by the creation of new algorithms, increased computing power and the development of deep learning techniques, Artificial Intelligence has developed ever more powerful technical systems, including robots, conversational agents and brain-computer interfaces. At the same time, inspired by those same advances in Machine Learning and AI, the field of Cognitive Science has made leaps and bounds in understanding and modeling human behavior, including human motion, human language, and the human brain. It is too rare today it that the fields of AI and CogSci join in a dialogue to together develop better methodologies and produce better results, both in understanding human behavior, and in building systems that interact with humans. Example of potential synergies:

  • How can we use AI systems to better understand Human behavior through automatic and reliable measurements?
  • Can we take inspiration from Children and construct universal artificial learner of language, physics, morale?
  • What are the next steps to solve for Artificial Intelligence systems?

This seminar aims to open that dialogue between the fields of Cognitive Science and Artificial Intelligence. Speakers may come from one field or the other, but all will use this opportunity to reflect on how a pairing between the two fields can be stronger than the sum of the parts. We hope you will join us in building a common language, and a common understanding of the grand societal challenges we face today, and that together we can conquer.

Next seminars

March 9, 2021, 16:00-17:00 (Paris Time), room https://global.gotomeeting.com/join/193192421.
Jean-François Bonnefon (Toulouse School of Economics)
Title: The Moral Machine Experiment
Abstract: With the rapid development of artificial intelligence have come concerns about how machines will make moral decisions, and the major challenge of quantifying societal expectations about the ethical principles that should guide machine behaviour. To address this challenge, we deployed the Moral Machine, an online experimental platform designed to explore the moral dilemmas faced by autonomous vehicles. This platform gathered 40 million decisions in ten languages from millions of people in 233 countries and territories. I will describe the results of this experiment, paying special attention to cross-cultural variations in ethical preferences. I will discuss the role that these data can play to inform public policies about the programming of autonomous vehicles.

April 13, 2021, 16:00-17:00 (Paris Time), room TBA.
Kelsey Allen (MIT, Computational Cognitive Science group)
Title: TBA
Abstract: TBA

Scientific Committee

Supported by

             

Original theme for this website is from Gabriel Peyré and the DHAI seminar. It can be found here.