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SER/ACE Webinar Series: Intelligent Machines, Big Data and Epidemiology: From Ethics to Policy
Tuesday, October 16, 2018, 12:00 PM - 1:00 PM EDT
Category: Events

Intelligent Machines, Big Data and Epidemiology: From Ethics to Policy

October 16, 2018 – 12:00 - 1:00 PM
Presenter: Kenneth Goodman PhD, FACMI

Click here to register.

About the presentation:

The duty to collect, analyze and share data and information has guided, shaped and inspired the science of epidemiology since antiquity. From Hippocrates through Paracelsus, Graunt, Farr and Snow, more-or-less nuanced inferences were made from observations and tests. Yet data and information were simple and certainly not plentiful. One could see a valuable pattern in nothing more complicated than dots on a map. Now, though, computational epidemiology entails the collection, sharing and analysis of vast amounts of data and information using very powerful analytic engines. This requires a reassessment of traditional values and the identification of new issues and challenges. In this webinar we will review privacy and confidentiality, decision support, data sharing, software engineering and other topics through the lenses of ethics, Big Data and artificial intelligence. The result will be a suggestion that the “right to benefit from science” – a too-often neglected concept – is a valuable counterpoint to those whose approach to ethics celebrates impediments and obstacles over thoughtful governance and ethically optimized public policy.

About our presenter:

Kenneth W. Goodman, PhD, FACMI, is founder and director of the University of Miami Miller School of Medicine’s Institute for Bioethics and Health Policy and co-director of the university’s Ethics Programs. The Institute has been designated a World Health Organization Collaborating Center in Ethics and Global Health Policy, one of nine in the world. He is a co-founder of the North American Center for Ethics and Health Information Technology, a partnership with the Center for Bioethics at Indiana University. Dr. Goodman is a Professor of Medicine at the University of Miami with appointments in the Department of Philosophy, Department of Health Informatics, Department of Public Health Sciences, Department of Electrical and Computer Engineering, School of Nursing and Health Studies and Department of Anesthesiology.

He is past chair of the Ethics Committee of AMIA (American Medical Informatics Association), for which organization he co-founded the Ethical, Legal and Social Issues Working Group. He is a Fellow of the American College of Medical Informatics. He is past chair of the American College of Epidemiology’s Ethics Committee. He directs the Florida Bioethics Network and chairs the UHealth/University of Miami Hospital Ethics Committee and the Adult Ethics Committee for Jackson Memorial Health System.

Dr. Goodman’s research has emphasized issues in health information technology and in epidemiology and public health. His latest book, Ethics, Medicine, and Information Technology: Intelligent Machines and the Transformation of Health Care (Cambridge University Press 2016) identifies and analyzes a number of issues in biomedical informatics. He has edited a book on the Terri Schiavo case for Oxford University Press, published a book about ethics and evidence-based medicine for Cambridge University Press, co-authored a book of case studies in ethics and health computing for Springer-Verlag and co-authored another volume of case studies, in ethics in public health, for the American Public Health Association. He has also co-authored a book on artificial intelligence, edited a book on ethics and medical computing, co-edited a volume on artificial intelligence, and published and presented numerous papers in bioethics, including end-of-life care, the philosophy of science, and computing.

Click here to register.