The Need for a Global Approach to the Ethical Evaluation of Healthcare Machine Learning.

The article presents the discussion on ethics of machine learning (ML) in clinical healthcare settings. Topics include guaranteeing an ethically robust design, development, and usage of technology; and incorporating strong encryption strategies in the design stage preventing possible ethical difficulties related to data privacy issues in the use stage.