Information technology—computational science, software engineering, artificial intelligence and so on—presents a large suite of interesting and difficult ethical, legal and social challenges. IDSC, in conjunction with UM’s Ethics Programs and Institute for Bioethics and Health Policy, has an opportunity not only to establish UM leadership in data science but also to demonstrate global leadership in identifying, addressing and resolving these challenges.
Collaborations have fledged across-the-curriculum contributions to teaching and learning, including innovations in incorporating data ethics into UM’s Responsible Conduct of Research training. These relationships have stimulated research and scholarship in topics ranging from appropriate uses and users of intelligent machines to privacy challenges raised by data collection and analysis, surveillance and secondary use. UM has contributed to several national and international efforts to develop guidance on and improve public understanding of AI/Machine Learning systems.
Data Ethics and Society will be the first program of its kind to both magnify the Institute’s influence and signal UM’s commitment to integrate ethical, legal and social issues into its most innovative scientific and pedagogic initiatives.
Kenneth W. Goodman, PhD, FACMI, FACE
Director, IDSC Data Ethics and Society
Ken Goodman is Founder and Director of the University of Miami Miller School of Medicine 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 ten 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 has been elected as a Fellow of the American College of Medical Informatics (FACMI). He is also a Fellow of the American College of Epidemiology (FACE), and past chair of its Ethics Committee.
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. [PubMed]
Otávio Bueno (Ph.D., University of Leeds) is Professor and Chair of the University of Miami Department of Philosophy, and the Cooper Senior Scholar in Arts and Sciences. He has held visiting professorships or fellowships at Princeton University, University of York (UK), University of Leeds, and the University of São Paulo. His research is in the Philosophy of Science, Philosophy of Mathematics, Philosophical Logic, Metaphysics, Epistemology, and Philosophy of Art.
Dr. Bueno has published over 200 papers in journals such as: Noûs, Mind, The British Journal for the Philosophy of Science, Philosophy of Science, Philosophical Studies, Synthese, Journal of Philosophical Logic, Studies in History and Philosophy of Science, Analysis, and Erkenntnis. He is the author of Applying Mathematics: Immersion, Inference, Interpretation (with Steven French; Oxford University Press, 2018), and Editor of Individuation, Process, and Scientific Practices (with Ruey-Lin Chen and Melinda Fagan; Oxford University Press, 2018), among other books. He is also an Editor-in-Chief of Synthese.
Dr. Messinger is a Cooper Fellow and Professor in the Departments of Psychology & Pediatrics, the Coordinator of the Developmental Psychological Program, and Associate Director for the Child Division (Developmental Program), and the Director of the UM SIB Smile Lab. His specialties are social, language, and emotional development; modeling interaction using objectively measured, big behavioral data; and he focuses on autism, attachment, and preschool classrooms. Dr. Messinger uses machine learning to paint an objective picture of children’s interaction and employs computational models to make sense of the resulting big behavioral data. He works with children affected by autism spectrum disorder (ASD), hearing loss, and poverty. By understanding interaction, he seeks to foster pathways to healthy development. Specific projects include the emergence of secure attachment, objective measures of autistic behavior, and language and proximity/orientation networks in inclusive classrooms.
As the author of over 120 scientific publications appearing in journals such as Nature Communications, Developmental Science, and Molecular Autism, Dr. Messinger has over a dozen years of experience leading longitudinal research initiatives funded by the National Institutes of Health (NIH), the National Science Foundation (NSF), and the Institute of Education Sciences.