NLM IRP Seminar Schedule
UPCOMING SEMINARS
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April 30, 2024 Wenya Rowe
The conformal central charge of the spin-1/2 XX model derived from long-chain asymptotics -
May 2, 2024 OPEN
TBD -
May 7, 2024 OPEN
TBD -
May 9, 2024 Pascal Mutz
TBD -
May 14, 2024 Stanley Liang
TBD
RECENT SEMINARS
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April 25, 2024 Ermin Hodzic
Condition-Aware Cell Type Deconvolution of Bulk Tissues -
April 23, 2024 OPEN
TBD -
April 16, 2024 Jaya Srivastava
Regulatory plasticity of the human genome -
April 11, 2024 Sergey Shmakov
Comprehensive survey of the TnpB RNA-guided nucleases -
April 2, 2024 Yifan Yang
Fairness and Bias in Biomedical AI
Scheduled Seminars on April 2, 2024
Contact NLM_IRP_Seminar_Scheduling@mail.nih.gov with questions about this seminar.
Abstract:
The promise of artificial intelligence (AI) in healthcare, from diagnosis to treatment optimization, is undeniable. However, as AI technologies like LLMs and medical imaging AI become integral to clinical practices, their inherent biases pose significant challenges. These biases can exacerbate healthcare disparities, making the pursuit of equity in AI applications not just a technical challenge but a moral imperative.
Our talk will cover two studies. The first one reveals biases in language models predicting healthcare outcomes, showing a tendency to replicate societal disparities in treatment recommendations and prognoses. The second one addresses fairness in medical imaging AI, introducing a causal fairness module that improves equity by adjusting for biases related to sensitive attributes without compromising diagnostic performance.
Addressing biases in AI is crucial for ensuring these technologies serve all patients fairly, regardless of their background. Our studies highlight the importance of continual assessment and adjustment of AI models to reflect ethical considerations alongside technical advancements.