Health inequities, racial disparities, and access barriers in the healthcare system can be mitigated by digital solutions, but improper use of these technologies can widen the gap in healthcare access and exacerbate disparities among vulnerable populations. Artificial intelligence (AI) advancements can enhance patient care and health outcomes, but they also introduce potential for bias. AI bias often originates from data and algorithms, leading to inaccurate conclusions and further perpetuating existing disparities. To build trust in AI, health organizations should set high ethical standards, implement rigorous safeguards, build transparency, and offer personalized experiences. By prioritizing ethical considerations, organizations can achieve the full promise of healthcare’s digital transformation.
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Building Trust in AI: Why All Health Organizations Need a Plan To Address AI Bias
