ETHICAL DILEMMA OF THE USE OF ARTIFICIAL INTELLIGENCE IN SCIENTIFIC RESEARCH AND INNOVATION

This chapter addresses the ethical challenges associated with the integration of artificial intelligence (AI) into scientific research and innovation. As AI revolutionizes fields such as biology, medicine, and engineering by accelerating data analysis and facilitating groundbreaking discoveries, it also introduces critical ethical dilemmas. Key concerns include the transparency of AI algorithms, the risks of bias in automated systems, and questions of accountability for AI-driven research outcomes.

The authors explore the implications of excessive automation on researcher autonomy and the potential erosion of human oversight in decision-making. Issues surrounding data privacy and the equitable use of AI technologies are also examined, alongside intellectual property challenges in cases where AI generates innovative content. The chapter advocates for the development of robust ethical frameworks and interdisciplinary collaboration to address these complexities, ensuring that AI technologies contribute positively to scientific progress without compromising ethical standards.