Ethical Implications of AI Technologies in Health Care
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Description
This exam examines the ethical implications of AI technologies in health care. Students will assess moral frameworks guiding the responsible use of AI in patient care.
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Exam Details
Duration: 30 minutes
Prerequisites: Foundations of Bioethics, Introduction to Health Informatics
Key Topics
- Ethical Frameworks
- AI and Patient Autonomy
- Data Privacy
- Algorithmic Bias
Learning Outcomes
- Analyze Ethical Frameworks
- Discuss Data Privacy Issues
- Assess Algorithmic Bias Impact
Full Description
This exam focuses on the ethical implications associated with the integration of AI technologies in health care. The assessment aims to critically evaluate the moral and ethical frameworks that govern AI's application in patient care.
Understanding the ethical considerations surrounding AI in health care is essential for ensuring patient autonomy and data privacy. Addressing these issues promotes responsible use of AI technologies in clinical practices.
Students will be tested on their ability to articulate the ethical challenges posed by AI applications, including data privacy concerns and the impact of algorithmic bias on patient care.
Students should be prepared to discuss real-life examples that illustrate ethical dilemmas faced by healthcare professionals when employing AI technologies.
Sample Questions
- What are the primary ethical challenges associated with AI technologies in health care?
- How can health care professionals ensure patient autonomy in the use of AI?
Field: Medical and Health Sciences
Subfield: Health Informatics
Specialization: Artificial Intelligence in Health Informatics
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