Robotics & Machine Learning Daily News2024,Issue(Sep.9) :3-4.

Study Data from Open University Update Understanding of Artificial Intelligence (Artificial Intelligence for Literature Reviews: Opportunities and Challenges)

Robotics & Machine Learning Daily News2024,Issue(Sep.9) :3-4.

Study Data from Open University Update Understanding of Artificial Intelligence (Artificial Intelligence for Literature Reviews: Opportunities and Challenges)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Artificial Intelligence. According to news originating from Milton Keynes, Unite d Kingdom, by NewsRx correspondents, research stated, “This paper presents a com prehensive review of the use of Artificial Intelligence (AI) in Systematic Liter ature Reviews (SLRs). A SLR is a rigorous and organised methodology that assesse s and integrates prior research on a given topic.” Our news journalists obtained a quote from the research from Open University, “N umerous tools have been developed to assist and partially automate the SLR proce ss. The increasing role of AI in this field shows great potential in providing m ore effective support for researchers, moving towards the semi-automatic creatio n of literature reviews. Our study focuses on how AI techniques are applied in t he semi-automation of SLRs, specifically in the screening and extraction phases. We examine 21 leading SLR tools using a framework that combines 23 traditional features with 11 AI features. We also analyse 11 recent tools that leverage larg e language models for searching the literature and assisting academic writing. F inally, the paper discusses current trends in the field, outlines key research c hallenges, and suggests directions for future research. We highlight three prima ry research challenges: integrating advanced AI solutions, such as large languag e models and knowledge graphs, improving usability, and developing a standardise d evaluation framework. We also propose best practices to ensure more robust eva luations in terms of performance, usability, and transparency.”

Key words

Milton Keynes/United Kingdom/Europe/A rtificial Intelligence/Emerging Technologies/Machine Learning/Open University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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