Global Programs Lecture Series

• Speaker: Kristin Kostick-Quenet, Ph.D.
• Time: 10-10:30 a.m.

Current AI ethics tend to highlight major limitations of AI systems; but these systems are quickly improving, reducing inaccuracies and bias, and improving performance and trustworthiness. This presentation focuses on ethical questions that are raised by AI’s strengths rather than its limitations, and the critical decisions we must make as humans when AI systems begin behaving the way we want them to.

Biography: Kristin Kostick-Quenet is a bioethicist and medical anthropologist. Her research delves into the ethical, social, and cultural aspects of emerging bio- and neurotechnologies, as well as AI and ML applications in healthcare. Currently, she focuses on the ethical translation of computer perception technologies into clinical care. Her recent work also covers ethical issues in AI/ML integration in clinical decision-making, deep brain stimulation, and computational ethics like blockchain. Additionally, she has explored topics such as AI/ML user system design, psychiatric genetics, disorders of consciousness, and the implementation of clinical interventions in diverse settings.

• Speaker: Baozhou Sun, Ph.D, MBA, DABR
• Time: 10:30 - 11 a.m.

Radiotherapy (RT) processes require significant human resources and expertise, creating a barrier to rapid deployment in low and middle-income countries (LMICs). Accurate segmentation of tumor targets and organs-at-risk (OARs) is crucial for optimal RT. We have implemented AI for auto-segmentation and evaluated the AI for the RT processes in two LMICs: Uganda and Mongolia.

Biography: Dr. Baozhou Sun is a professor in the department of radiation oncology at Baylor College of Medicine. He serves as the director of medical physics in his department. He oversees safety and quality, as well as the implementation of new technology in radiotherapy at Baylor. His research focuses on AI applications and data informatics in radiotherapy.