Collaborative project through AI and Faith to deepen our understanding of the guiding role compassion can play in an interreligious and interdisciplinary approach to AI ethics. The project investigates religious questions and ethical issues as well as technical challenges posed to AI development, especially for healthcare applications.

Grant funded project through University of Notre Dame Tech Ethics Lab with Emanuele Ratti to develop "A Capability Approach to Ethics-Based Auditing in Medical AI"

Recently, it has been proposed to address the ethical challenges posed by AI tools by taking inspiration from auditing processes. This approach has been called ethics-based auditing (EBA), and it is based on an underlying conception of ethics that significantly draws from the recent principled turn of AI ethics, which is notoriously fraught with difficulties. This project proposes an alternative framework for EBA that is not based on AI principlism. In particular, it aims at conceptualizing EBA on the basis of the capability approach. Rather than checking for compliance to vague principles, EBAs should investigate the impact of AI tools to capabilities. The team formulates a preliminary characterization of capability-based EBA in medical AI. Deliverables will consist of a manuscript delineating the framework, a prototype AI tool that can be used for both internal and external auditing, and a conference paper.