Category - AI in Research & Learning

Ithaka S+R has launched a Generative AI Licensing Agreement Tracker to document deals between academic publishers and AI developers.

As GenAI tools such as ChatGPT become increasingly integrated into academic work, the Library has seen a growing number of inquiries about their responsible use, particularly on copyright, licensing, and academic integrity.

In this post, Holly Chan, our Assistant Manager of Digital Humanities, demonstrates how to perform Cantonese speech-to-text transcription with coding.

In this post, we will introduce three citation mapping tools - Connected Papers, Litmaps, and Undermind - to help you quickly expand your reading list.

Academic publishing is facing new challenges with the rise of generative AI tools. Retraction Watch, a platform that tracks paper retractions, has revealed a concerning trend: the emergence of papers potentially written by ChatGPT.

Conducting literature reviews can be a daunting and time-consuming task. Last week, HKUST Library offered a workshop introducing the latest AI tools that can assist in this process. This post shares the key highlights from the workshop.

AI's ability to quickly generate article summaries from a single question is always fascinating. The paragraphs are often well structured, and many do include real sources. But how accurate is the generated content?

Generative AI can revolutionize scholarly communication by breaking down technical, language, disciplinary, and practical barriers.

Recently, Mr. Aaron Tay, a librarian from Singapore Management University gave us a guest talk on RAG-based LLM applications for academic literature search. This post summarizes the key insights in the presentation.