Ken Goodman – Page 4 – Frost Institute for Data Science & Computing

News

Data Ethics During COVID-19, Thursday 7/23/2020

The University of Miami Institute for Data Science and Computing, Institute for Bioethics and Health Policy, and the Ethics Programs are collaborating to host a Zoom discussion on Data Ethics during COVID-19. From public health surveillance to contact tracing and the never-ending challenge of balancing the duties of science and privacy, the Covid-19 pandemic is a test-case of our ability to manage extraordinary challenges. The ethical decisions surrounding data collection, sharing, and use, shapes and will help us meet these challenges. Read more “Data Ethics During COVID-19, Thursday 7/23/2020” →

Publications

Bioethics and Precision Medicine Focus on Information Technology

Information technology has an increasing, and increasingly important, role in medical practice and research. This includes precision medicine and all its tools and strategies. This chapter begins with a review of the history of the electronic health record, then identifies and discusses the ethical issues and challenges that arise in precision medicine because of the essential role of information technology. Read more “Bioethics and Precision Medicine Focus on Information Technology” →

Data Ethics

Balancing Risks and Benefits of Artificial Intelligence in the…

During the last decade, enhanced computing power and the availability of large amounts of data have prompted the practical use of artificial intelligence in health care. Health and medical journals now commonly include reports on machine learning and big data, and descriptions of the risks posed by, and the governance required to manage, this technology. Read more “Balancing Risks and Benefits of Artificial Intelligence in the Health Sector” →

Publications

Stigma, Biomarkers, and Algorithmic Bias: Recommendations for Precision Behavioral…

Effective implementation of artificial intelligence in behavioral healthcare delivery depends on overcoming challenges that are pronounced in this domain. Self and social stigma contribute to under-reported symptoms, and under-coding worsens ascertainment. Health disparities contribute to algorithmic bias. Read more “Stigma, Biomarkers, and Algorithmic Bias: Recommendations for Precision Behavioral Health with AI” →

Events

Catch the Replay: Data Intersections 2020 Videos

Catch the replay of Data Intersections 2020, and hear all the presentations and the panel discussion: Otavio Bueno, Heather Krause, Yeshimabeit Milner, Mike Monteiro, Panel Discussion with Ken Goodman. (share the playlist)
Read more “Catch the Replay: Data Intersections 2020 Videos” →