University of San Francisco, Data Science Speaker Series.
Abstract. Scores of ethical concerns are rising with the increasing scale of AI applications, from the impact of unintended consequences to inequalities in health and wealth created by machines. In data science, how do we ensure trust & confidence when building AI/ML-powered solutions that directly impact human health? This presentation focuses on an ethical framework based on the philosophy of technology & science for using AI/ML/NLP tools in medical research and healthcare. Central to the ethical framework is learning to attend to the moral dimension of technical decisions. The framework is situated within becoming an ethical data scientist, which may also occur within the context of Jesuit spirituality and discernment.