Ethical and Legal Implications of Artificial Intelligence in Healthcare

Overview

This unit enables students to develop an understanding of the ethical and legal implications of designing and using Artificial Intelligence, and related software/programs, in a health setting. This includes in hospitals, governments, research and other forms of clinical practice.

Unit learning outcomes

Students who successfully complete this unit will be able to:

1. Explain privacy and confidentiality issues relevant to the use of artificial intelligence in healthcare.Enter unit learning outcome
2. Analyse issues related to the accuracy of artificial intelligence generated health data, including issues of equity and algorithmic biasEnter unit learning outcome
3. Compare and contrast strategies to promote the appropriate use of artificial intelligence in healthcare, including using First Nations data sovereignty principles
4. Explain key terms relevant to the use of artificial intelligence in healthcare, including explainability, large language models, large cognitive models, agentic and generative artificial intelligence and hallucinations.
5. Critically analyse relevant legislation for the use of artificial intelligence in healthcare in Australia.

Teaching methods

Hawthorn

Assessment

Content

• A brief history of Artificial Intelligence development and key concepts, providing an understanding for how the development of Artificial
  Intelligence can cause bias.
• Explore the ethical principles of Artificial Intelligence in healthcare
• Explore the legal implications of Artificial Intelligence in healthcare
• Understand how the use of Artificial Intelligence can affect the ethics of (1) informed consent to use data, (2) safety and transparency, (3) algorithmic fairness and biases, and (4) data privacy.
• Graduate Attribute – Communication 2 - Communicating using different media
• Graduate Attribute – Digital Literacies 1 - Information literacy
• Digital Literacies 2 - Technical literacy