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“If bias encoding cannot be avoided at the algorithm stage, its identification enables a range of stakeholders relevant to the AI health technology's use (developers, regulators, health policy ...
For example, a widely used algorithm predicted health care costs as a proxy for health care needs, and used predictions to allocate resources to help patients with complex health needs. This introduced bias because Black patients have lower costs, even when they are just as unhealthy as White patients. [ 155 ]
This bias often stems from training data that reflects historical and systemic inequalities. For example, AI systems used in hiring, law enforcement, or healthcare may disproportionately disadvantage certain racial groups by reinforcing existing stereotypes or underrepresenting them in key areas.
A Pew Research poll found that 6 in 10 U.S. adults would feel uncomfortable if their own health care provider relied on artificial intelligence (AI) to diagnose disease and recommend treatments ...
Automation bias can be a crucial factor in the use of intelligent decision support systems for military command-and-control operations. One 2004 study found that automation bias effects have contributed to a number of fatal military decisions, including friendly-fire killings during the Iraq War. Researchers have sought to determine the proper ...
AI in healthcare is facing skepticism, even as wider AI use faces scrutiny and a rush to regulation in the US. ... (EMRs), are a prime example. "Right now, you have techies designing the systems ...
The documents address ethics, assessment/evaluation, handling, and regulation of AI for health solutions, covering specific use cases including AI in ophthalmology, histopathology, dentistry, malaria detection, radiology, symptom checker applications, etc. FG-AI4H has established an ad hoc group concerned with digital technologies for health ...
In addition, health care-related chat bots powered by generative AI are often not regulated at all, in part because many "don't explicitly claim to diagnose or treat conditions," Carson said.
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related to: ai bias in healthcare examples