Author(s): Ekeinde, Evelyn Bose¹, Diepiriye Chenaboso Okujagu²,

Abstract:

Synthetic Intelligence (SI) or Artificial Intelligence (AI) has established itself as a game-changer in the science, and at least the possibility to accelerate a discovery process, simplify a complex process and process big data more quickly and efficiently than previously. The article that has to be reviewed is a thorough overview of the current trends and unaddressed issues related to the direction of the sphere of SI-powered scientific inquiry and discusses the publications issued between the years of 2015-2025. We discuss the several uses of SI in terms of the research lifecycle, literature review and knowledge synthesis, research planning and hypothesis generating, and experimental design and simulation, data analysis and data representation and manuscript writing and preparation. The most prominent SI methodologies deep learning, natural language processing (NLP), and generative SI have been addressed in detail and their role and changing functions emphasized. Integrity problems and credibility of SI-generated information, the postivity issue of authorship and plagiarism, technical issues like the black box problem and data bias, and legal and regulatory landscape in general represent significant challenges that are initially brought up in a negative light in the review. By critically reviewing the varying views and uses, this article could help to enlighten the graduate-level researchers and other experts on technical terms with a nuanced sense of the present contribution and opportunities of scientific research to further in the field of SI, as well as the principle of human control and ethical issues. The new findings synthesis issues express the criticality of the scientific research and the convergence of SI might bring on the most optimal improvements but would also introduce the certain fine tuning in the care to guard the research integrity and the welfare of the society by circumventing the snarl it comes with

Keywords: Synthetic Intelligence, Artificial Intelligence, Scientific Research, Literature Review, Data Analysis, Research Methodology, Large Language Models

DOI: 10.61165/sk.publisher.v12i9.5

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Recent Advances and Challenges in Synthetic Intelligence (SI) Powered Scientific Research

Pages:50-66