AI technologies should not be biased.

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

Unintended biases that may emerge with AI should be avoided or identified and mitigated.

AI developers should be aware of the possible biases in their design, implementation and use and the potential harm that biases can cause to individuals and society.

AI developers should be aware of the possible biases in their design, implementation and use and the potential harm that biases can cause to individuals and society.

These parties also have a duty to address potential bias and avoid introducing or exacerbating health care disparities, including when testing or deploying new AI technologies in vulnerable populations.

AI developers should ensure that AI data, and especially training data, do not include sampling bias and are therefore accurate, complete and diverse.

The effects of use of AI technologies must be monitored and evaluated, including disproportionate effects on specific groups of people when they mirror or exacerbate existing forms of bias and discrimination.

Special provision should be made to protect the rights and welfare of vulnerable persons, with mechanisms for redress if such bias and discrimination emerges or is alleged.