An approach for using self-teaching algorithms of artificial intelligences character in health care
Recent developments in information technologies allow an increasing delegation of certain tasks within the area of medicine to self-teaching algorithms, commonly referred to as artificial intelligences. Such programs may advise and provide solutions in various aspects of personalized medical services to be used by practitioners. Large scale usage of data and creation of complicated pathways for decision making may result in opacity and creation of “black boxes” which cannot be effectively supervised by users. This paper aims to position certain aspects of such algorithms within the prescriptive map of ethical debate on algorithms, their accountability and to briefly describe the existing legal solutions which may aid in dealing with such issues.
