IVADO/Mila International Summer School on Bias and Discrimination in Artificial Intelligence


Deadline: 29 March 2019
Open to: participants who have interests in machine learning
Venue: 3 –  6 June 2019 ​​in Montreal, Canada

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.

The summer school will be filmed and will be available as a MOOC late 2019.

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

Eligibility

A basic understanding of machine learning is strongly recommended.

Cost

  • Government and industry employees: $1500
  • Non-profit organization (NPO): $400
  • Student: $200

IVADO also offers fee waivers to eligible students, which covers the registration fee for the Summer School. T

Application

To be eligible, please fill the following form available in English or French before March 29, 2019.

In order to applyregister HERE.

If you have any questions, please please write to:  formations@ivado.ca.

The official web-page.