Can More Transparency Help Build Trust In AI Algorithms?

Can More Transparency Help Build Trust In AI Algorithms?

Posted Jul 28, 2021 from

In an upcoming HIMSS21 Global Conference Digital Session, Mayo Clinic Platform President Dr. John Halamka will discuss how to address issues of ethics and bias in artificial intelligence.

Artificial intelligence – especially machine learning – is helping to drive progress and innovation throughout the health technology industry. 

But at the same time, it's clear that AI can also recreate and exacerbate biases, potentially worsening health disparities and even putting patients' lives at risk.

In a HIMSS21 Global Conference Digital Session scheduled to air on Monday, August 9, Mayo Clinic Platform President Dr. John Halamka will speak with HIMSS Executive Vice President of Media Georgia Galanoudis about evaluating algorithms' fitness for purpose – and whether it's possible to maintain the promise of AI, knowing about its potential downsides.  

Although AI-related optimism is justified, Halamka says, issues around equity and bias replication – and algorithm quality in general – are going to be present whenever there are mass quantities of training data.  


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