2 Promote human well being, human safety and the public interest

They should satisfy regulatory requirements for safety, accuracy and efficacy before deployment, and measures should be in place to ensure quality control and quality improvement.

Transparency will improve system quality and protect patient and public health safety.

All algorithms should be tested rigorously in the settings in which the technology will be used in order to ensure that it meets standards of safety and efficacy.

All algorithms should be tested rigorously in the settings in which the technology will be used in order to ensure that it meets standards of safety and efficacy.

The examination and validation should include the assumptions, operational protocols, data properties and output decisions of the AI technology.

tests and evaluations should be regular, transparent and of sufficient breadth to cover differences in the performance of the algorithm according to race, ethnicity, gender, age and other relevant human characteristics.

There should be robust, independent oversight of such tests and evaluation to ensure that they are conducted safely and effectively.

There should be robust, independent oversight of such tests and evaluation to ensure that they are conducted safely and effectively.

Ultimately, such work should be validated by regulatory agencies or other supervisory authorities.

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.