$200 – $1,500

IVADO-Mila Summer school: Bias and discrimination in artificial intelligenc...

Event Information

Share this event

Date and Time

Location

Location

Mila Auditorium

6650 Rue Saint-Urbain

Montréal, QC H2S 3G9

Canada

View Map

Refund Policy

Refund Policy

Refunds up to 7 days before event

Event description

Description

Algorithms, and the data they process, play an increasingly important role in decisions with significant consequences for human welfare. While algorithmic decision-making processes have the potential to lead to fairer and more objective decisions, emerging research suggests that they can also lead to unequal and unfair treatments and outcomes for certain groups or individuals.

This Summer School is an attempt to engage multi-disciplinary teams of researchers and practitioners to explore the social and technical dimensions of bias, discrimination and fairness in machine learning and algorithm design. The course focuses specifically (although not exclusively) on gender, race and socioeconomic based bias and data-driven predictive models leading to decisions.

A basic understanding of machine learning is strongly recommended.


Objectives

  • Understanding bias and discrimination
  • Exploring the harms from bias in machine learning (discriminatory effects of algorithmic decision-making)
  • Identifying the sources of bias and discrimination in machine learning
  • Mitigating bias in machine learning (strategies for addressing bias)
  • Recommendations to guide the ethical development and evaluation of algorithms


Program details


Date and Time

Location

Mila Auditorium

6650 Rue Saint-Urbain

Montréal, QC H2S 3G9

Canada

View Map

Refund Policy

Refunds up to 7 days before event

Save This Event

Event Saved