Cover Image for The CANAIRI in the coal mine: silent trials are critical to accountable AI translation
Cover Image for The CANAIRI in the coal mine: silent trials are critical to accountable AI translation

The CANAIRI in the coal mine: silent trials are critical to accountable AI translation

Hosted by Health AI Partnership (HAIP)
Zoom
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About Event

Health AI Hub Collaboratory Rounds bring together experts and practitioners to share and explore various aspects of AI lifecycle management in healthcare. These monthly gatherings are designed to keep you informed about the latest trends, best practices, and challenges in the dynamic field of healthcare AI.

The silent trial is perhaps the most valuable yet under-utilised tool in the lifecycle of AI governance. The CANAIRI Project is focused on building a toolkit to enable holistically scoped silent trials for diverse health settings to critically enable local governance. This presentation will discuss the motivations for CANAIRI, the results of our scoping study on silent trial practices across the globe, and emerging findings from our Delphi study. We will conclude by exploring next steps for the project, including intersection with regulators, health authorities, and consumers.

Speakers

Melissa McCradden

A/Prof Melissa McCradden is a bioethicist and clinical researcher. She serves as the Artificial Intelligence Director and Deputy Research Director with the Women's and Children's Health Network, and a Deputy Director and The Hospital Research Foundation (THRF) Group Fellow at the Australian Institute for Machine Learning at the University of Adelaide. She is an Adjunct Scientist with the SickKids Research Institute and a member of the SickKids Research Ethics Board in Toronto, Canada. Dr. McCradden's expertise is in the development of ethical frameworks derived from clinical and technical knowledge grounded in policy, law, and moral theory. She serves on multiple international reporting guideline initiatives and consortia, including the WHO/ITU's Clinical Evaluation Task Force in the Focus Group on AI 4 Health, as well as the Centre of Excellence for Regulatory Science & Innovation in AI and Digital Health (CERSI-AI).