Privacy and Ethics: Understanding the Convergences and Tensions for the Responsible Development of Machine Learning

Source de subvention

Office of the Privacy Commissioner of Canada

Professeur(e)s impliqués

Résumé

Machine learning models are now ubiquitous in our society. However, their widespread use also raises serious privacy and ethical issues, especially if their predictions are applied in domains where they can significantly affect individuals. To understand how to best address privacy and ethics responsibly when developing machine learning models, we need to first have a clear view of how these concepts interact with each other. The objective of this project is to investigate this question by following an interdisciplinary approach at the crossroads of computer science, law and ethics.