Table 2.

The Royal Australian and New Zealand College of Radiologists’ ethics statement for AI applications in radiology

Title of the document	Ethical Principles for AI in Medicine
Issuer	The Royal Australian and New Zealand College of Radiologists
Summary of principles	Safety Privacy and protection of data Avoidance of bias Transparency and explainability Application of human values Decision making on diagnosis and treatment Teamwork Responsibility for decisions made Governance
Aims	To complement existing medical ethical frameworks, to develop standards of practice for research in AI tools, to regulate market access for ML and AI, to develop standards of practice for deployment of AI tools in medicine, to upskill medical practitioners in ML and AI, to use ML and AI in medicine in an ethical manner
Target audience	Stakeholders, developers, health service executives and clinicians
General statement	“These tools should at all times reflect the needs of patients, their care and their safety, and they should respect the clinical teams that care for them.”
Important dates	Call for comments: 21 February–26 April 2019 Publication of final version: 30 August 2019

AI, artificial intelligence; ML, machine learning.