Machine Learning, Interpretability, and Drone Strikes

Title:

Machine Learning, Interpretability, and Drone Strikes

Time and Date:

2024. 4. 8. (Mon) 2:30-4:00pm

Speaker:

Dr. Adrian K. Yee, Research Assistant Professor, Lingnan University

Language:

English

Venue : 

CEC1002, Christian Education Centre, Ho Sin Hang Campus, HKBU

Abstract:

While automated weapons systems have become a mainstream topic in military ethics,  I argue that novel problems concerning the interpretability of algorithms used in present and future systems present under studied ethical issues, especially in the context of recent US military research,  foreign policy, and extant operationalizations of ‘terrorist’. Using contemporary US drone strike methodology as a case study, I argue for an account of algorithmic interpretability that is most appropriate for enhancing our abilities to assign proportionate moral responsibility to the numerous actors involved in developing, approving, and utilizing automated weapons systems.

Organizer:

Department of Religion and Philosophy, HKBU

Co-organizer:

Centre for Applied Ethics, HKBU

Target:

HKBU Students, Staff and Public