Teaching

(G = Graduate Level; U = Undergraduate Level)


École de technologie supérieure

U – Encadrement de la profession et éthique professionnelle

U – Enjeux éthiques de l’intelligence artificielle

Aarhus University

G – MA Seminar. The Philosophy of AI: The Ethics of Human-Machine Relations.

G – PhD Summer Course on Discrimination. Guest Lecture on Indirect Discrimination.

McGill UniversityPhilosophy Department

U – Introduction to Philosophy. Guest Lecture on Artificial Intelligence and Discrimination.

U – Philosophy of Law.

U – Current Issues in Political Philosophy – The Foundations of Global Egalitarian Justice.

McGill UniversityComputer Science Department

Co-taught two-hour embedded ethics modules in collaboration with Professor Golnoosh Farnadi (Department of Computer Science, McGill University)

Applied Machine Learning. Fairness and Priacy Dilemma in Machine Learning.

Artificial Intelligence. AI and Uncertainty: Utility Maximization and Intergenerational Justice.

Algorithm and Data Structures. Fairness in Resource Allocation Problems.

Introduction to Software Systems. Ethics of Open Source Software Development.

Natural Language Processing. Ethics of Low Resource Languages in Multilingual NLP.

Introduction to Software Systems. Ethics of Open-source software.

Collège de Rosemont

U – L’Être Humain

U – Problèmes Éthiques de la Société Contemporaine

U – Philosophie et Rationalité