Artificial intelligence in medicine: issues when determining negligence

Paul Nolan, Rita Matulionyte

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The introduction of novel medical technology, such as artificial intelligence (AI), into traditional clinical practice presents legal liability challenges that need to be squarely addressed by litigants and courts when something goes wrong. Some of the most promising applications for the use of AI in medicine will lead to vexed liability questions. As AI in health care is in its relative infancy, there is a paucity of case law globally upon which to draw. This article analyses medical malpractice where AI is involved, what problems arise when applying the tort of negligence – such as establishing the essential elements of breach of duty of care and causation – and how can these can be addressed. Product liability under Australian Consumer Law is beyond the scope of this article. In order to address this question, the article: (1) identifies the general problems that black box AI causes in the health care sector; (2) identifies the problems that will arise in establishing breach and causation due to the “black box” nature of AI, with reference to the Civil Liability Act 2002 (NSW) and common law through two hypothetical examples; and (3) considers selected legal solutions to the problems caused by “black box” AI.
Original languageEnglish
Pages (from-to)593-615
Number of pages23
JournalJournal of Law and Medicine
Volume30
Issue number3
Publication statusPublished - Dec 2023

Keywords

  • artificial intelligence
  • machine learning
  • black box effect
  • medical care
  • negligence
  • legal liability
  • reasonable foreseeability
  • res ipsa loquitur

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