Artificial intelligence: ethical and future challenges

Abstract

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.