Each new genetic test or medical app generates or collects more and more detailed health data, but may also raise serious issues for medicine, public health. Under what circumstances should a test be used, and how should it be implemented? Should people be allowed to choose or refuse a test, or should it be mandatory, as newborn screening is in some states? How should the data from these tests be used, and should individuals control access to the results of their tests? If test results are released to third parties, such as employers or insurers, what protections should be in place to protect individuals from unfair treatment based on test results, data collected, or genotype?
This Dissonance series event takes a multi-disciplinary look at these issues from a variety of theoretical and applied perspectives.
- Lori Andrews, Professor of Law and Director of the Institute for Science, Law and, Technology at Chicago Kent Law School
- Jodyn Platt, Assistant Professor, U-M Medical School
- Kayte Spector-Bagdady, Assistant Professor, U-M Medical School, Chief of the Research Ethics Service in the Center for Bioethics and Social Sciences in Medicine (CBSSM)
- Denise Anthony, Professor, U-M School of Public Health
Related News Stories:
- Can You Sue An Algorithm For Malpractice? (Forbes, 2-11-2019)