Affiliation:
1. VIT-AP University, India
2. Andhra University, India
3. Woosong University, South Korea
Abstract
Artificial intelligence (AI) is rapidly transforming academic research, accelerating discovery, improving efficiency, and opening up new avenues across various disciplines. This chapter introduces AI and discusses its broad range of applications, both within and outside of academia. The chapter then presents the applications of AI in academic research. It covers various AI tools, such as Scite, Elicit, etc., and a comparative analysis of their capabilities and limitations. The chapter also discusses some ethical issues that must be considered when using AI in academic research. It concludes with a discussion on the future of AI in academic research and the potential benefits and challenges that lie ahead. This chapter is intended for a broad audience, including academic researchers, students, and those who are interested in learning more about the role of AI in academic research.
Reference63 articles.
1. Advanced Grammar Checker for Academic & Professional Writing - TRINKA. (2021, July 24). https://www.trinka.ai/
2. AI for Research - scite.ai. (n.d.-c). scite.ai. https://scite.ai/
3. Improving the Deaf and Hard of Hearing Internet Accessibility: JSL, Text-into-Sign Language Translator for Arabic
4. Artificial Intelligence and Administrative Discretion
5. Battina, D. S. (2016). AI-Augmented Automation for DevOps, a Model-Based Framework for Continuous Development in Cyber-Physical Systems. International Journal of Creative Research Thoughts (IJCRT).