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e-HAIL Event

AI-Ready Testbed Planning Grant (a joint event with MiCHAMP)

Brahmajee Nallamothu, MDStevo Julius Research Professor of Cardiovascular Medicine, Professor of Internal MedicineMichigan MedicineJenna Wiens, PhDAssociate Professor of Electrical Engineering and Computer ScienceU-M College of Engineering
WHERE:
Virtual
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NSF recently published a Dear Colleague Letter (DCL) about the availability of Planning Grants designed to develop AI-Ready Test Beds that can be used by researchers to test novel AI methods in potential real-world application scenarios. The overarching purpose is to develop new approaches for developing and evaluating novel artificial intelligence (AI) methods in real-world settings. Too often new AI systems are deployed before the interactions with and impacts on users can be fully evaluated or understood. Often, when AI is evaluated, it is with an inadequate number of samples that do not scale or generalize beyond a limited number of use cases. Because of the current limits in scalability and scope, the AI community is encouraged to expand existing test beds and infrastructure to make them AI-ready and appropriate for use in evaluating the impact and effect of AI tools and systems on users. To do this, proposers are encouraged to create teams of researchers who have expertise in AI as well as domain experts and staff managing existing test beds.

The presenters are hoping to use this session to review the key pieces of the grant application but to also have a larger discussion around how we can create an active “living” lab for algorithm testing in partnership with high-fidelity simulation and the clinical enterprise of Michigan Medicine.

Zoom information will be sent to e-HAIL and MiCHAMP members.

Organizer

e-HAIL

Organizer

MiCHAMP