A candidate for the College of Health's Health Data Scientist - Ethics of Artificial Intelligence position is a doctoral candidate in a School of Policy and Government and is expected to graduate in Spring 2023. The candidate has a research focus on emerging technologies and their impacts on society. Their dissertation, Ethical and Regulatory Frameworks to  Support Trustworthy Artificial Intelligence in Healthcare, investigates the three factors of economics, technology, and public policy on the diffusion of trustworthy AI in healthcare. Their dissertation takes an interdisciplinary approach to understanding the challenges faced by regulators and policy makers in providing adequate oversight that helps to ease the ethical concerns of stakeholders in a 360-degree perspective. The candidate has been an adjunct professor since 2016 and has taught in both a College of Business and a College of Computational and Data Sciences. As an instructor, they believes it is important to make classroom information relevant to the students and their interests. This approach helps with absorption of information and increases student interest in theories and methodologies that can be foreign.  
 

Outside of their academic work, the candidate is a data scientist with over 20 years of experience in finance and strategic planning leadership roles. The bulk of their experience has been focused on data driven decision making related to technology, economic gain, and organizational performance in industries that have had a large impact on society and national, and international policy. The primary industries in which they have worked (telecommunications, software, and energy) have all played a role in global technology change over the last twenty years. 

Other academic credentials held by the candidate include a Master of Business Administration and dual undergraduate degrees in Finance and Economics. The candidate will also complete a Master of Science degree in Data Analytics and Engineering in the fall of 2023.
 

Research Talk: "Short to Mid-term Research Efforts Related to Ethical AI in Healthcare"
Abstract: With a focus on interdisciplinary research, the candidate will detail their plans to follow 3 tracks in a research portfolio and will provide context for projects in the short to mid-term. The three tracks discussed will include: 1) the continuation of research related to their dissertation project that will fill any gaps that exist in both theory and data and the inclusion of empirical data into the dissertation work, 2) the role AI in healthcare can play to eliminate systemic inequities in patient care, 3) potential development of solutions that can benefit underserved patient populations and help mitigate systemic inequities.