Description: The ethics of research in artificial intelligence (AI) refers to the principles that guide the conduct of researchers and developers in the field of AI, ensuring integrity and respect for individuals and society. This field focuses on the need to address moral and ethical issues that arise when designing, implementing, and using AI technologies. The ethics of research in AI seeks to prevent bias, discrimination, and invasion of privacy, promoting practices that respect human dignity and fundamental rights. Additionally, it emphasizes transparency, accountability, and responsibility in the use of algorithms and AI models. The growing influence of AI in various areas, from healthcare to criminal justice, has made ethics in this discipline more relevant than ever. Researchers must consider not only the outcomes of their work but also the social and ethical implications that these may have. In this sense, the ethics of research in AI is not just about complying with regulations but fostering a culture of responsibility and critical reflection in technological development, ensuring that AI benefits society as a whole and does not perpetuate existing inequalities or injustices.
