Construed broadly, data protection laws should also make it easy for people to access their own health data and to move or share those data as they like.

5 Ensure inclusiveness and equity

Inclusiveness requires that AI used in health care is designed to encourage the widest possible appropriate, equitable use and access, irrespective of age, gender, income, ability or other characteristics.

AI technology – like any other technology – should be shared as widely as possible.

Industry and governments should strive to ensure that the “digital divide” within and between countries is not widened and ensure equitable access to novel AI technologies.

Bias is a threat to inclusiveness and equity because it represents a departure, often arbitrary, from equal treatment.

Bias is a threat to inclusiveness and equity because it represents a departure, often arbitrary, from equal treatment.

Public sector agencies should have control over the data collectedby private health care providers, and their shared responsibilities should be defined and respected.