A Comparative Study of Health Data Spaces in Canada the EU
Health data spaces are technical infrastructures and governance arrangements intended to promote health data integration and sharing for purposes of research, policy making, and innovation. The scale of these platforms, and the sensitivity of health as a domain of individual and collective practice, raise urgent questions for responsible governance.
Assessing the Impacts of AI Technologies in Healthcare
As applications of AI in health care continue to grow, ensuring responsible and trustworthy design, development, and use that balances risks and benefits will be essential. This algorithmic impact assessment (AIA) set out to anticipate the potential impacts of AI systems in a more expansive manner.
Trust in Human-ML Interactions: The Case of AI Scribes
Trust has emerged as an essential consideration in AI development and use. In this report I outline three contrasting perspectives on trust in human-ML interactions in public health and health care, using AI Scribes as a case example.
Responsible Development of an AI-Enabled Smart Physiotherapy Monitoring System
This 3-year embedded ethics and policy analysis occurred alongside and informed the development and implementation of a health AI technology undergoing commercialization through a start-up.
Design Ethics and AI for Health
As part of the Joint Centre for Bioethics Scholars Program in AI Ethics and Health, this project consisted of a structured review and critique of ethics and values in design (E+VID) literature, classifying approaches according to their positions on normative strength and views regarding designer agency.
Co-Design and Ethical Artificial Intelligence for Health
This project was carried out as part of my Master’s thesis and involved a review of the research literature in order to examine the extent to which co-design as commonly conceptualized is capable of addressing the range of normative issues raised by AI/ML for health care.