Master Class - "Brief history of artificial intelligence: introduction to some principles and associated risks"

Changed on 04/10/2023
  • Wednesday, October 18, 2023 - 10:00 am Chilean time

  • Speaker: Frédéric Alexandre, Research Director and team leader of the MNEMOSYNE project-team at Inria

  • Master Class in French, with simultaneous translation into Spanish

Interno-master-class-historiaIA-2023
© Inria / Photo M. Magnin

What will I discover in this class?

  • Understand the principles of Artificial Intelligence and its beginnings.

  • Define the basic principles and concepts: in particular, intuit how the main current algorithms based on deep learning and reinforcement learning work

  • Understand the limits of these approaches, as well as the biases and other risks associated with their use in society

  • We will present the technological, scientific and ethical challenges of artificial intelligence

  • We will discuss the challenges and risks of tomorrow: digital sovereignty, the strategic importance of data, the development of AI in contact with society, strong AI, etc.

Frédéric Alexandre

Frédéric Alexandre
Credit Inria / Photo H. Raguet

Frédéric Alexandre is research director at Inria, team leader of the MNEMOSYNE project-team and researcher in computational neuroscience and artificial intelligence. The team is shared with the UMR Labri of the CNRS and is based at the Bordeaux Neurocampus.

The goals of the MNEMOSYNE project-team are (1) to model the association of our different forms of memory (e.g., combining know-how and know-what, or learning rules of thumb and concrete cases), (2) to understand how they interact in our main cognitive functions (decision-making, reasoning, imagination), and (3) to study associated pathologies (linked to the basal ganglia, prefrontal cortex, and hippocampus).