Who should decide how limited healthcare resources are prioritized? Autonomous technology as a compelling alternative to humans
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View abstract on PubMed
Summary
This summary is machine-generated.People prefer autonomous computer programs (ACPs) over human staff members (HSMs) for prioritizing healthcare resources. ACPs are seen as more bias- and error-free, outweighing human qualities like agency and emotional experience.
Area Of Science
- Healthcare ethics
- Artificial intelligence
- Decision-making
Background
- Prioritizing limited healthcare resources involves complex decisions.
- Autonomous artificial intelligence-based technology (AI) presents an alternative to human decision-making.
Purpose Of The Study
- To investigate public preferences for decision-makers in healthcare resource prioritization.
- To compare perceptions of autonomous computer programs (ACPs) versus human staff members (HSMs).
Main Methods
- Qualitative and quantitative analyses were conducted across four studies (N = 50 to 800).
- Participants evaluated ACPs and HSMs based on perceived qualities like agency, emotional experience, bias-free, and error-free decision-making.
Main Results
- HSMs were associated with agency and emotional experience.
- ACPs were perceived as superior in bias-free and error-free decision-making.
- Improved ACP performance, particularly in their characteristic qualities, led to a preference for ACPs in resource prioritization.
Conclusions
- Public acceptance of AI in healthcare resource allocation may be influenced by perceived competence in specific areas.
- Findings offer insights into public perceptions of autonomous technologies and potential barriers to adoption.
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