Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Foundation models (FMs) are a new paradigm in AI. First pretrained on broad data at immense scale and subsequently adapted to more specific tasks, they achieve high performances and unlock powerful new capabilities to be leveraged in many domains, including healthcare. This SIG will bring together researchers and practitioners within the CHI community interested in such emerging technology and healthcare. Drawing attention to the rapid evolution of these models and proposals for their wide-spread adoption, we aim to demonstrate their strengths whilst simultaneously highlighting deficiencies and limitations that give raise to ethical and societal concerns. In particular, we will invite the community to actively debate how the field of HCI - with its research frameworks and methods - can help address some of these existing challenges and mitigate risks to ensure the safe and ethical use of the end-product; a requirement to realize many of the ambitious visions for how these models can positively transform healthcare delivery. This conversation will benefit from a diversity of voices, critical perspectives, and open debate, which are necessary to bring about the right norms and best practices, and to identify a path forward in devising responsible approaches to future FM design and use in healthcare.

TitelCHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Antal sider4
ForlagAssociation for Computing Machinery, Inc.
ISBN (Elektronisk)9781450394222
StatusUdgivet - 2023
Begivenhed2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Tyskland
Varighed: 23 apr. 202328 apr. 2023


Konference2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
SponsorACM SIGCHI, Apple, Bloomberg, Google, NSF, Siemens

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