Research & Scholarly Work
Researchers Propose Framework for AI Use in Healthcare
Healthcare organizations are looking to artificial intelligence (AI) tools to improve patient care, but the translation into clinical settings has been inconsistent. Alex John London, the K&L Gates Professor of Ethics and Computational Technologies in the Department of Philosophy, participated in a multi-institutional study that developed a framework for using AI in the healthcare setting. The team advocates for a conceptual shift in which AI tools are viewed as parts of a larger “intervention ensemble,” a set of knowledge, practices and procedures that are necessary to deliver care to patients. The authors’ proposed framework seeks to advance the responsible integration of AI systems into healthcare. At Carnegie Mellon, London is also director of the Center for Ethics and Policy and chief ethicist at the Block Center for Technology and Society.
Alex John London, the K&L Gates Professor of Ethics and Computational Technologies in the Department of Philosophy
Understanding Data Science Critical for Life, Education
Rebecca Nugent, the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science and head of the Department of Statistics & Data Science, is a co-principal investigator on a grant from the Institute of Education Sciences . The grant will enable Carnegie Mellon faculty to train educators in data science through a new program called Data Science for Education (DS4EDU) . Nugent will train DS4EDU students on how to use sophisticated data science tools that make it easier to see how data are analyzed. The yearlong program for teachers and administrators includes funding for three cohorts of 25 educational practitioners, with the first cohort scheduled to start in summer 2024. The students are mentored by 11 co-principal investigators involved in the program as they develop their research projects.
Rebecca Nugent, the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science and head of the Department of Statistics & Data Science
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