CHALLENGES, IMPLICATIONS AND ETHICAL FRAMEWORK RELATED TO ARTIFICIAL INTELLIGENCE IN HEALTH: TOWARDS AN ETHICAL ARTIFICIAL INTELLIGENCE FOR MEDICINE

Abstract

A climate rotating hot and cold has developed, alternating between enthusiasm and suspicion towards digital
technology, and the developments of Artificial Intelligence (AI). This results in a more fragile relationship
of trust between professional particularly in the health
sector and citizens. Faced with growing challenges surrounding AI in medicine, an ethical vision is necessary
to find coherence and meaning in the approach of this
new technology. This ethical reflection refers to an
ethical system of values that are associated with four
universal ethical principles especially in biomedical:
people’s autonomy, beneficence, non-maleficence and
justice. Therefore, intelligent machines must be ethical from their design to their use. Responsibility attached
to the machine lies with both designers and owners.
Thus, it is essential to bring “legal identity” to these AIs
through an algorithmic ethical consciousness. Ultimately,
the notion of responsibility must be at the heart of the
doctor-AI-patient relationship.