Duke Statement on the establishment of NIST’s Artificial Intelligence Safety Institute Consortium
Duke University enthusiastically commends the National Institute of Standards and Technology (NIST) for the establishment of the U.S. Artificial Intelligence Safety Institute (USAISI) and its related consortium — a significant leap forward in promoting safe and trustworthy AI.
Nicoleta Economou Guides Biomedical PhD Students on Responsible AI Integration in Research
Duke Algorithm-Based Clinical Decision Support (ABCDS) Oversight Director Nicoleta Economou, PhD, recently shared crucial insights on algorithmic governance and oversight while speaking to 4th-year biomedical PhD students enrolled in Duke University’s BIOTRAIN 754 course, "The Responsible Scientist II."
Formation of Coalition for Health AI (CHAI) as a Nonprofit Leading Health AI Standards and Policy Advocacy
The Coalition for Health AI (CHAI) is being established as a nonprofit organization tasked with overseeing a nationwide network of testing laboratories designed to evaluate artificial intelligence tools for healthcare applications.
Paper: Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare
A groundbreaking paper published in JAMIA by Duke Health AI Evaluation & Governance Program’s Nicoleta Economou, PhD, the Duke Algorithm-Based Clinical Decision Support (ABCDS) Oversight Committee and other Duke University co-authors introduces an Implementation Guide for the Evaluation and Governance of Algorithmic Technologies in Healthcare.
MiCHAMP Big Data and AI in Health Seminar
Join Duke Health AI Evaluation & Governance Program’s Michael Pencina, PhD, and Matthew Elmore, ThD, as they discuss recent developments with the Coalition for Health AI (CHAI) as part of the Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP) Big Data and AI in Health Seminar Series.
Duke Health and AI Governance in Focus: Health IT Analytics Predictions for 2024
In a recently published discussion on Health IT Analytics’ predictions for 2024, experts highlighted key priorities for healthcare organizations, particularly focusing on AI governance, transparency, and collaboration.
Duke Health Signs Pledge for Ethical, Responsible AI in Health Care
Duke Health joins leading health systems and payers in signing a pledge committing to key principles of safety, security, and trust for the development and application of AI at the annual conference hosted by the Assistant Secretary for Technology Policy.
MIS Annual Summit 2023
Duke Health AI Evaluation & Governance Program’s Nicoleta Economou, PhD, will be one of the featured speakers at the 4th Annual Medical Intelligence Society (MIS) Virtual Global Summit.
JAMIA Paper: Duke Researchers Unveil Implementation Guide for Ethical and Effective Oversight of Algorithmic Technologies
A groundbreaking paper by Algorithm-Based Clinical Decision Support (ABCDS) Oversight Director Nicoleta Economou, PhD, the ABCDS Oversight Committee, and other Duke co-authors introduces an Implementation Guide for the Evaluation and Governance of Algorithmic Technologies in Healthcare, aiming to address the challenges of regulating rapidly advancing technologies.
Duke Experts Share Insights on AI Standards in Healthcare with Educators
Duke Health AI Evaluation & Governance Program's Sophia Bessias and Matt Elmore recently gave a talk on AI Standards in Healthcare to K-12 science teachers and administrators in North Carolina as part of an offering provided by the North Carolina Association for Biomedical Research (NCABR).