Presentation
As Artificial Intelligence (AI) becomes increasingly integrated into healthcare, ethical considerations must be systematically addressed to ensure responsible and equitable deployment, yet the need for integration of technical and ethical guidance poses a well-known challenge to the viability of existing frameworks. This talk will draw on PhD research conducted within an interdisciplinary research project at the University of Oslo to discuss structured methods for ethical assessment of AI in healthcare. It will begin by examining foundational bioethical principles and their adaptation to AI ethics, particularly through the influential AI4People principles. It will then present structured methods as sitting between non-technical approaches (e.g., principle-based checklists) and technical methods (e.g., algorithmic auditing).
Finally, it will introduce the ethical-epistemic matrix, a principle-based tool designed to structure ethical reasoning around specific stakeholder needs and bridge the gap between the normative demands that are most central to ethics and the knowledge requirements that matter most to technical development. By combining philosophical foundations with a structured approach to ethical assessment, this talk will offer attendees a concrete starting point for thinking about embedding ethics into AI-driven healthcare innovations.
Speaker
Jonathan Adams is a PhD researcher at the Centre for Medical Ethics, University of Oslo within the Norwegian Research Council-funded project ‘Respire - Responsible Explainable Machine Learning for Sleep-related Respiratory Disorders’. His doctoral work focuses on the ethical and epistemic implications of artificial intelligence in healthcare and involves collaborating with colleagues from the fields of law, computer science, and clinical medicine. So far, this has included publishing articles in Medicine, Health Care and Philosophy and AI and Ethics. Prior to starting his PhD, Jonathan received an MSc in Bioethics & Society from King’s College London (2022) and a BA in Philosophy and Theology from the University of Oxford (2020).
Program
11:30 – Doors open and lunch is served
12:00 – "Structured Methods and Principles for the Ethics of AI in Healthcare" by Jonathan Adams (PhD Candidate, Institute of Health and Society)
This event is open for all students, PhD candidates, postdocs, and everyone else who is interested in the topic. No registration needed.
About the seminar series
Once a month, dScience will invite you to join us for lunch and professional talks at the Science Library. In addition to these, we will serve lunch in our lounge in Kristine Bonnevies house every Thursday. Due to limited space (40 people), this will be first come, first served. See how to find us here.
Our lounge can also be booked by PhDs and Postdocs on a regular basis, whether it is for a meeting or just to hang out – we have fresh coffee all day long!