Artificial intelligence: ethical and future challenges

Abstract

This narrative literature review addresses the evolution and use of artificial intelligence in health care,
with a focus on advancements such as image interpretation in diagnostics and the use of robots in
hospitals. Ethical issues are discussed, including data privacy and algorithmic bias, emphasizing ethical
principles and regulations such as the Brazilian General Data Protection Law. The challenge of bias
is illustrated, highlighting the need to eliminate discrimination in systems, and the complexity of
responsibility and transparency in medicine is addressed, with a focus on the importance of understanding
algorithms to avoid medical errors. The relevance of the debate on the positive potential of artificial
intelligence is underscored, stressing the need to tackle ethical dilemmas to ensure the ethical and
responsible use of technology in the future.