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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
Published on: January 7, 2019
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[How trustworthy is artificial intelligence? : A model for the conflict between objectivity and subjectivity]
Nadine Schlicker1, Markus Langer2, Martin C Hirsch3
1Institut für Künstliche Intelligenz in der Medizin, Philipps-Universität Marburg, Baldingerstr., 35043, Marburg, Deutschland. nadine.schlicker@uni-marburg.de.
Innere Medizin (Heidelberg, Germany)
|September 22, 2023
Summary
Balancing physician and patient trust in artificial intelligence (AI) systems is crucial for effective medical integration. Accurately assessing AI trustworthiness ensures optimal use without over-reliance or underutilization of its potential.
Area of Science:
- Medical Informatics
- Artificial Intelligence
- Human-Computer Interaction
Context:
- Integration of artificial intelligence (AI) systems into medical processes.
- The critical role of trustworthiness and trust in AI adoption by physicians and patients.
- Potential pitfalls of both over-trust and under-trust in AI medical tools.
Purpose:
- To explore the relationship between AI system trustworthiness and user trust in a medical context.
- To highlight the importance of accurately assessing AI trustworthiness for safe and effective implementation.
- To provide guidance on how to achieve a balanced level of trust in AI medical systems.
Summary:
- Accurate assessment of AI trustworthiness is essential for balancing physician and patient trust.
- Over-trust can lead to uncritical reliance, while under-trust prevents leveraging AI's full potential.
- Understanding these dynamics is key to successful AI integration in healthcare.
Impact:
- Facilitates the responsible adoption of AI in medicine.
- Enhances clinical decision-making by optimizing the use of AI tools.
- Promotes a safer and more effective healthcare environment through appropriate AI utilization.
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