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Researchers need dedicated AI tools, not generic off-the-shelf solutions, argues LSE Impact analysis

By

Taster

1d ago· 8 min readenInsight

Summary

This article examines the growing trend of researchers using generic "off-the-shelf" AI tools (like ChatGPT) for academic writing and research tasks. Akhilesh Ayer argues that these general-purpose tools are often ill-suited for the specific needs of academic research, and calls for the development of dedicated, research-centric AI tools. The piece draws on surveys showing widespread adoption of generic AI among researchers, and makes the case that institutions and researchers should be more deliberate in selecting and developing AI tools that address the unique requirements of scholarly work — including accuracy, citation handling, domain-specific knowledge, and methodological rigor.

Source

bskyResearchers need dedicated AI tools, not generic off-the-shelf solutions, argues LSE Impact analysisblogs.lse.ac.uk

Key quotes

· 3 pulled
During my time working at the intersection of technology and academic publishing, one pattern continues to surface: researchers look for tools that feel familiar, rather than those best suited for the task.
AI uptake in research is accelerating, and becoming more complex
Author surveys show researchers regularly turn to generic 'off the shelf' AI tools to aid with academic writing.
Snippet from the RSS feed
Author surveys show researchers regularly turn to generic “off the shelf” AI tools Akhilesh Ayer argues for a more careful research-centric approach.

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