AI systems should be designed demonstrably and systematically to conform to the principles and human rights with which they cohere; more specifically, they should be designed to assist humans, whether they be medical providers or patients, in making informed decisions.

Respect for autonomy also entails the related duties to protect privacy and confidentiality and to ensure informed, valid consent by adopting appropriate legal frameworks for data protection.

Respect for autonomy also entails the related duties to protect privacy and confidentiality and to ensure informed, valid consent by adopting appropriate legal frameworks for data protection.

Respect for autonomy also entails the related duties to protect privacy and confidentiality and to ensure informed, valid consent by adopting appropriate legal frameworks for data protection.

AI technologies should not be used for experimentation or manipulation of humans in a health care system without valid informed consent.

The use of machine learning algorithms in diagnosis, prognosis and treatment plans should be incorporated into the process for informed and valid consent.

data protection laws are one means of safeguarding individual rights and place obligations on data controllers and data processors.

Such laws are necessary to protect privacy and the confidentiality of patient data and to establish patients’ control over their data.

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.

data protection laws already create specific obligations of explainability for automated decision making.

Those who might request or require an explanation should be well informed, and the educational information must be tailored to each population, including, for example, marginalized populations.

Appropriate mechanisms should be adopted to ensure questioning by and redress for individuals and groups adversely affected by algorithmically informed decisions.