What solutions to data bias in machine learning algorithms?

10th March from 5:00 pm to 6:30 pm

Cycle webinar

While artificial intelligence is more and more used, many AI incidents report data processing biases or discrimination. Good In Tech organizes a research webinar to discuss the biases of artificial intelligence. What solutions to data bias in machine learning algorithms? With Stephan Clemençon (Telecom Paris), Serge Abitboul (ENS Paris) and Julia Stoyanovich (NYU).


" class="translated-elem">Here are the topics that will be discussed in the conference:
  • On bias and fairness issues in Machine-Learning, Stephan Clemençon, Telecom Paris: 
  • Reponsible Data Science, Julia Stoyanovich, New York University
  • Social media regulation, Serge Abiteboul, Inria,  Board member at ARCEP

Registration

Registration