@article{ALUAȘ_BOLBOACĂ_2019, title={Is the biggest problem of health-related artificial intelligence an ethical one?}, volume={41}, url={https://ami.info.umfcluj.ro/index.php/AMI/article/view/713}, abstractNote={<p>Artificial intelligence (AI) is define by MeSH (Medical Subject Headings) as “theory and<br>development of computer systems which perform tasks that normally require human<br>intelligence. Such tasks may include speech recognition, learning; visual perception;<br>mathematical computing; reasoning, problem solving, decision-making, and translation of<br>language”. The keyword has been introduced in 1986 but received lately special attention due<br>to the access to a considerable amount of organized/structured data. The AI technology in<br>health care has raw medical data as input on which apply machine learning algorithms and<br>provide as a specific output. The main feature of the AI is represented by the creation of its<br>own logic by recognizing patterns in the input data but are “black boxes” that predict well<br>without explaining why and are case-specific, the received goal is not self-adjusted. The healthrelated AI applications are developed to assist the diagnosis, development of the treatment<br>protocol, drug development, personalized medicine, and healthcare monitoring. High-Level<br>Expert Group on Artificial Intelligence (AI HLEG, https://ec.europa.eu/digital-singlemarket/en/high-level-expert-group-artificial-intelligence) published the Ethics Guidelines for<br>Trustworthy AI that listed “seven key requirements for Trustworthy AI: (1) human agency and<br>oversight, (2) technical robustness and safety, (3) privacy and data governance, (4) transparency,<br>(5) diversity, non-discrimination and fairness, (6) environmental and societal well-being and (7)<br>accountability.” The use of AI technology in health care and medical education arise several<br>ethical issues regarding patient autonomy, privacy, and confidentiality, informed consent,<br>discrimination, quantification of AI risks and benefits, responsibility, misuses, responsible<br>conduct of AI research and testing, etc. Several AI ethical issues in health-care are introduced<br>and discussed.</p>}, number={Suppl. 1}, journal={Applied Medical Informatics}, author={ALUAȘ, Maria and BOLBOACĂ, Sorana D.}, year={2019}, month={Sep.}, pages={3} }