Health care leaders seek regulation, transparency for AI in health industry
Health care sector leaders urged Congress to pass regulations on the use of artificial intelligence (AI) in the industry based on experiences facing issues in the AI programming such as implicit bias and patient privacy.
Wednesday’s hearing on the use of AI in health care comes after tools such as ChatGPT made waves in the health care space.
Witnesses expressed concern about implicit bias in AI used in health care that could potentially discriminate against patients based on demographics.
“Generative [large language models] must be ‘trained’ on massive volumes of written language — the ultimate compendium of human experience,” said Benjamin Nguyen, senior product manager at health care company Transcarent. “It therefore inherits the inherent biases of that experience through the data used to train the model.”
House Energy and Commerce Chair Rep. Cathy McMorris Rodgers (R-Wash.) echoed Nguyen’s concerns, voicing fears about “the possibility of human biases to be implicitly baked into AI technologies.”
When considering legislation, witnesses said Congress must consider the training procedures that could result in bias to ensure equitable use of AI in medicine.
Dr. David Newman-Toker, director of the division of neurovisual and vestibular disorders at Johns Hopkins University School of Medicine neurology department, said AI systems should be trained on “gold-standard data sets” to ensure health care professionals aren’t “converting human racial bias into hard and fast AI-determined rules.”
Also discussed between witnesses and members of the subcommittee on health were concerns about how the use of AI in medicine could compromise transparency and patient privacy.
“It is critical that safeguards are put in place to protect the privacy and security of patient’s data,” Rep. Frank Pallone Jr. (D-N.J.), said.
Peter Shen, head of digital health in North America for health care company Siemens Healthineers, said it is critical to work together and build “ethical, transparent and accessible AI in health care.”
Witnesses encouraged telling patients when and how AI is being used, in the interest of transparency.
“I think it’s of the most paramount importance that patients understand who is treating them. And if AI is being used, there needs to be transparency,” Nguyen said.
As with AI use in other industries, lawmakers are tasked with balancing innovation and regulation when considering the use of AI in health care.
“[With the] absence [of] carefully crafted regulations, innovative payment incentives, and new research resources directed to overcome key barriers to successful deployment of high-quality AI systems, risks will dominate,” Newman-Toker said.
Copyright 2023 Nexstar Media Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.
Health care sector leaders urged Congress to pass regulations on the use of artificial intelligence (AI) in the industry based on experiences facing issues in the AI programming such as implicit bias and patient privacy.
Wednesday’s hearing on the use of AI in health care comes after tools such as ChatGPT made waves in the health care space.
Witnesses expressed concern about implicit bias in AI used in health care that could potentially discriminate against patients based on demographics.
“Generative [large language models] must be ‘trained’ on massive volumes of written language — the ultimate compendium of human experience,” said Benjamin Nguyen, senior product manager at health care company Transcarent. “It therefore inherits the inherent biases of that experience through the data used to train the model.”
House Energy and Commerce Chair Rep. Cathy McMorris Rodgers (R-Wash.) echoed Nguyen’s concerns, voicing fears about “the possibility of human biases to be implicitly baked into AI technologies.”
When considering legislation, witnesses said Congress must consider the training procedures that could result in bias to ensure equitable use of AI in medicine.
Dr. David Newman-Toker, director of the division of neurovisual and vestibular disorders at Johns Hopkins University School of Medicine neurology department, said AI systems should be trained on “gold-standard data sets” to ensure health care professionals aren’t “converting human racial bias into hard and fast AI-determined rules.”
Also discussed between witnesses and members of the subcommittee on health were concerns about how the use of AI in medicine could compromise transparency and patient privacy.
“It is critical that safeguards are put in place to protect the privacy and security of patient’s data,” Rep. Frank Pallone Jr. (D-N.J.), said.
Peter Shen, head of digital health in North America for health care company Siemens Healthineers, said it is critical to work together and build “ethical, transparent and accessible AI in health care.”
Witnesses encouraged telling patients when and how AI is being used, in the interest of transparency.
“I think it’s of the most paramount importance that patients understand who is treating them. And if AI is being used, there needs to be transparency,” Nguyen said.
As with AI use in other industries, lawmakers are tasked with balancing innovation and regulation when considering the use of AI in health care.
“[With the] absence [of] carefully crafted regulations, innovative payment incentives, and new research resources directed to overcome key barriers to successful deployment of high-quality AI systems, risks will dominate,” Newman-Toker said.
Copyright 2023 Nexstar Media Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.
Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the content and do not want us to publish your materials, please contact us by email – [email protected]. The content will be deleted within 24 hours.