Fei, M., Vladimirovich, B. (2025). Moral and ethical challenges of artificial intelligence in scientific research. , 2(1), 34-44. doi: 10.69513/jndm.v2.i1.a3
Ma Fei; Barabash Victor Vladimirovich. "Moral and ethical challenges of artificial intelligence in scientific research". , 2, 1, 2025, 34-44. doi: 10.69513/jndm.v2.i1.a3
Fei, M., Vladimirovich, B. (2025). 'Moral and ethical challenges of artificial intelligence in scientific research', , 2(1), pp. 34-44. doi: 10.69513/jndm.v2.i1.a3
Fei, M., Vladimirovich, B. Moral and ethical challenges of artificial intelligence in scientific research. , 2025; 2(1): 34-44. doi: 10.69513/jndm.v2.i1.a3
Moral and ethical challenges of artificial intelligence in scientific research
RUDN University, Miklukho-Maklaya str., 6, Moscow, 117198, Russia
Abstract
With the rapid iterative development of AI technology and its deeper application in the field of scientific research, its impact on scientific research has become more extensive. Artificial intelligence is becoming a powerful assistant in scientific research, and is quietly changing the face of academia.The application of artificial intelligence in scientific research can not only cross the language gap, quickly analyze massive data, help people save a lot of time and cost, and improve the efficiency of scientific research. And to a certain extent, it can also help people break through the traditional thinking and cognitive limitations, propose new research directions, and expand people's cognitive horizons. However, the moral and ethical risks brought by the application of artificial intelligence in scientific research should also be emphasized. Based on a brief overview of the development and application of AI in scientific research, the article puts forward the possible moral and ethical challenges of AI in scientific research, such as authenticity and accuracy, deep comprehension, data privacy, algorithmic bias, technology dependence, and intellectual property rights. It is hoped that it can provide meaningful thinking for the healthy and safe development of AI in scientific research.