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A new Pew Research Center survey reveals that over half of U.S. Adults feel they have little to no say in how artificial intelligence is used in their healthcare, raising concerns about transparency and patient rights.
The rapid integration of artificial intelligence (AI) into healthcare has sparked a range of emotions among patients, from optimism to unease. According to a recent survey by the Pew Research Center, 53% of American adults feel they have either "not too much" or no control over the use of AI in their medical care. This sentiment highlights a significant gap between technological advancements and patient empowerment.
The survey, which polled 3,488 U.S. Adults from June 22 to 28, found that 63% of respondents want more say in whether AI is used in their healthcare. The findings underscore a growing demand for transparency and informed consent, as patients seek greater involvement in decisions that directly impact their health.
White adults (60%) are more likely than Hispanic (40%), Black (43%), and Asian adults (42%) to report feeling they have little to no say in AI usage. This disparity suggests that the benefits and risks of AI in healthcare may not be equitably distributed across different demographic groups, raising important questions about access and equity.
Alongside the desire for more control, nearly half of the respondents (46%) report being unsure whether AI was used in their care at all. This uncertainty points to a lack of clear communication from healthcare providers, which is crucial for building trust and ensuring patient autonomy.
The survey also revealed mixed understanding of AI's role in care. While 44% of respondents say they understand "somewhat well" how AI has been used, 32% report little to no understanding. This gap in knowledge can lead to confusion and mistrust, potentially undermining the effectiveness of AI-driven healthcare solutions.

Amid the rapid implementation of AI in healthcare, 72% of respondents consider it extremely or very important to be informed by providers about the technology’s use. Eight in 10 or more respondents want to know if AI is used for tasks that directly affect their care, such as analyzing medical scans (81%), making diagnoses (81%), explaining lab results (80%), taking notes during appointments (72%), ordering prescription refills (64%), and scheduling appointments (56%).
These findings align with broader concerns about the ethical implications of AI in healthcare. As AI systems become more sophisticated, there is an increasing need for clear guidelines and regulations to ensure that they are used responsibly and transparently.
The Pew Research Center survey highlights a critical issue at the intersection of technology and patient rights. The lack of control and understanding surrounding AI in healthcare not only affects individual patients but also has broader implications for public health and medical ethics.
Healthcare providers must prioritize transparency and communication to address these concerns. This includes educating patients about the role of AI in their care, obtaining informed consent, and ensuring that AI systems are used ethically and equitably. By doing so, healthcare professionals can build trust and empower patients to make informed decisions about their health.
As the debate over the future role of AI in healthcare continues, it is essential to involve all stakeholders, including patients, in the decision-making process. Only through a collaborative approach can we ensure that AI technology serves to enhance, rather than undermine, the patient experience.
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53% of US adults feel they have no say when AI is used in care
↗ https://www.fiercehealthcare.com/ai-and-machine-learning/53-us-adults-feel-they-dont-have-say-when-ai-used-their-healthcare-pew
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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31 August 2026
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