IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’24)
Workshop on Foundational Ethics in AI Model Development for Healthcare: Technical Challenges and Solutions
Abstract: BHI attracts innovators interested in translational cutting-edge research for healthcare applications. This topic is appropriate as the use of AI in clinical decisionmaking is becoming more prevalent, and these decisions can have significant moral and ethical implications, potentially exacerbating existing health disparities. Despite this, ethics is often an afterthought in model development process, a practice that is at odds with the fundamental principle of medicine: to do no harm. The main aim is to equip AI practitioners in positioning foundational ethics as an integral part of model development process, rather than a quality that models are evaluated on post-hoc. We will address technical challenges in embedding ethical principles into the very genesis of humancentric model development, representing a paradigm shift from measuring and mitigating impacts to preventing them; thus contributing to leverage Trustworthy AI. We will discuss how to practically integrate ethics in research proposal and conceptualization.
- Tayo Obafemi-Ajayi, Missouri State Univ., USA
- Keeley Crockett, Manchester Metropolitan University, UK
- Jose María Alonso-Moral, Universidade de Santiago de Compostela, Spain
- Annabel Latham, Manchester Metropolitan Universitym UK
