Article: Generative artificial intelligence and ethical considerations in health care

This activity is part 3 of a three-part ethics article series titled: Artificial Intelligence, Ethics, and Professional Responsibility in Health Care.

Part 3: Generative Artificial Intelligence and Emerging Ethical Risks in Health Care:

This peer-reviewed open-access review explores emerging ethical challenges associated with generative artificial intelligence (GenAI) in healthcare, such as large language models and generative systems used for clinical documentation, decision support, education, research, and patient engagement. The authors examine risks related to accuracy, bias, transparency, accountability, and patient safety, and recognise the rapid uptake of GenAI. They argue that GenAI’s capabilities introduce distinct ethical risks beyond those associated with traditional AI systems. The authors subsequently propose an ethics checklist organised around key domains such as purpose specification, data governance, fairness, accountability, human oversight, safety monitoring, and transparency to guide responsible professional use of GenAI tools in health practice.

After reading this article, answer a set of multiple-choice questions to pass the activity and qualify for CEUs.

This activity is accredited for 3 ethics CEUs.

Key points are provided at the end of the activity.

The activity content was developed by Debby Gates RD(SA).