In this episode, Emily Sullivan talks about the role of explainability concerning machine learning models. She also addresses how explainability relates to epistemic norms and the ethics of machine learning.

Emily is an Assistant Professor at the Philosophy and Ethics Group at Eindhoven University of Technology. In her research Emily focuses on epistemology and machine learning.

This episode is hosted by Mandi Astola, also from Eindhoven University. Mandi works on the ethics of co-creation for technological innovation.

Issues covered in this episode:

Relevant links and publications for this episode:

The views expressed in the episodes reflect the opinions of the individuals who voice them, and do not represent the opinion or institutional position of either TU Delft, 4TU Ethics, or DDfV.