Challenges and limitations in the use of artificial intelligence in research and some options to overcome them

Artificial intelligence (AI) is becoming increasingly important in the field of scientific research, providing new opportunities for processing large amounts of data, automating routine tasks, and discovering new dependencies in complex systems. Despite these advantages, the use of AI in the scientific domain is accompanied by many challenges and limitations. This paper explores the current state of the problem, analyses the challenges facing the scientific community and examines the main limitations of using AI. The report includes a SWOT analysis of the deployment of AI in scientific research, summarizing the strengths, weaknesses, opportunities and threats that accompany the use of AI technologies. Possible solutions to overcome these limitations are proposed, including the development of new methodologies for AI training, the creation of ethical and legal frameworks, and the training of professionals who can effectively use AI technologies. The report highlights the need for a coordinated effort between the scientific community, industry and regulators for the successful application of AI in research. AI has the potential to significantly improve the scientific process, but requires careful management of the challenges and risks associated with its use.