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Rethinking Ethics for an Era of Trusted Computational Tools
Kristin M Kostick-Quenet1, Meghan Hurley1, John Herrington2
1Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA.
Computer perception (CP) technologies offer precise behavioral insights. A new ethical framework guides responsible CP use, focusing on appropriate integration, expectation management, humanistic outcomes, and safeguarding patient dignity in clinical settings.
Area of Science:
- Computer Science
- Medical Ethics
- Human-Computer Interaction
Background:
- Computer perception (CP) technologies are advancing rapidly, offering precise, real-time behavioral insights.
- The increasing capabilities of CP necessitate a shift in ethical considerations from data trustworthiness to appropriate application and implementation.
Purpose of the Study:
- To propose a contextual ethics framework for the integration of computer perception technologies in clinical settings.
- To guide the responsible use of CP by addressing ethical challenges beyond data accuracy.
Main Methods:
- Defining the appropriate scope for CP integration in healthcare.
- Advocating for codesigned roadmaps to manage user expectations and potential conflicts.
- Expanding evaluation metrics beyond technical performance to include humanistic outcomes.
- Anticipating future high-performance CP systems to ensure ethical considerations are proactively addressed.
Main Results:
- The proposed framework provides a structured approach to ethical CP deployment.
- It emphasizes the importance of user involvement and managing expectations.
- The framework broadens evaluation criteria to encompass patient well-being and dignity.
Conclusions:
- A contextual ethics framework is crucial for the responsible integration of computer perception technologies in clinical care.
- This framework promotes a shift towards humanistic outcomes, safeguarding dignity, empathy, and shared decision-making.
- Proactive ethical planning is essential for future high-performance CP systems.
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