The Ethics of Artificial Intelligence in Healthcare Decision-Making

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Description

This exam explores ethical issues surrounding AI in healthcare decision-making, scrutinizing accountability and bias. Analyze technology's impact on patient outcomes.

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Exam Details

Duration: 50 minutes

Prerequisites: Introduction to AI Ethics, Medical Ethics, Philosophy of Technology

Key Topics

  • AI Ethics
  • Healthcare Decision-Making
  • Accountability
  • Bias
  • Patient Consent

Learning Outcomes

  • Articulate Ethical Concerns
  • Analyze AI Risks
  • Discuss Accountability
  • Evaluate Patient Outcomes

Full Description

This exam addresses the ethical implications of artificial intelligence (AI) in healthcare decision-making processes, including issues of accountability, bias, and patient consent. Students will analyze the intersection of technology and ethics in modern medicine.

As AI technologies increasingly influence healthcare practices, understanding their ethical ramifications becomes crucial. Ethical guidelines must evolve to ensure technologies serve to enhance patient outcomes without compromising dignity or fairness.

Students will be evaluated on their ability to articulate ethical concerns related to AI in healthcare during verbal assessments. This includes assessing risks and benefits, and understanding how technology modifies traditional ethical considerations.

Through the evaluation of real-life scenarios, students will be expected to produce well-reasoned arguments regarding the role of AI in healthcare, considering both the potential and the peril involved.

Sample Questions

  • What are the ethical implications of AI biases in healthcare decision-making?
  • How do ethical guidelines adapt to the increasing influence of AI in healthcare?

Field: Humanities

Subfield: Philosophy

Specialization: Bioethics

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