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These studies suggest that ethical considerations in the use of AI for decision-making in healthcare include accountability, transparency, potential harms, privacy, fairness, trust, responsibility, patient autonomy, and the need for new governance approaches.
19 papers analyzed
The integration of artificial intelligence (AI) into healthcare is transforming patient care, diagnosis, and decision-making processes. However, this technological advancement brings forth significant ethical challenges that need careful consideration to ensure responsible and equitable use.
Accountability and Transparency
Algorithmic Bias and Fairness
Patient Autonomy and Shared Decision-Making
Privacy and Data Security
Trust and Explainability
Responsibility and Ethical Governance
Equity and Social Justice
The ethical use of AI in healthcare requires a multifaceted approach that addresses accountability, transparency, bias, patient autonomy, privacy, trust, responsibility, and equity. By implementing robust ethical guidelines and governance structures, healthcare systems can harness the potential of AI while ensuring ethical and equitable outcomes for all patients.
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