Laura's repository of AI information – Home

Research about AI

  • March 14, 2022. Situating Search. Chirag Shah, Emily M. Bender. “Newly surfaced proposals that aim to use large language models to generate relevant information for a user’s needs pose even greater threat to transparency, provenance, and user interactions in a search system. In this perspective paper we revisit the problem of search in the larger context of information seeking and argue that removing or reducing interactions in an effort to retrieve presumably more relevant information can be detrimental to many fundamental aspects of search, including information verification, information literacy, and serendipity.”
  • May 9, 2023. Will AI Fix Work? Microsoft. “The pace of work is outpacing our ability to keep up. AI is poised to create a whole new way of working.”
  • May 2024. Transforming academic librarianship through AI reskilling: Insights from the GPT-4 exploration program. Leo Lo. “This case study examines the GPT-4 Exploration Program at the University of New Mexico’s College of University Libraries and Learning Sciences, which aimed to foster a culture of continuous learning and innovation by providing hands-on experience with advanced AI technology.”
  • May 30, 2024. AI Search Will Never Work – Really. Ask a Librarian.
    • “Ask a librarian – Can you search and do research with AI tools like ChatGPT?
    • No. Searching for facts, information, or real world answers with tools that use Generative AI – such as Google AI Overviews – doesn’t work – and it will never work.“
  • Dec 19, 2024. The Problem with “Perfect” Answers: GenAI and Academic Research Tools. Ask a Librarian. “The intersection of web search and artificial intelligence creates a curious dilemma for new generations of students.”
  • March 24, 2025. Uncovering the Hidden Curriculum in Generative AI: A Reflective Technology Audit for Teacher Educators. Melissa Warr and Marie K. Heath. “In this article, we explore the concept of a “hidden curriculum” within generative AI, specifically Large Language Models (LLMs), and its intersection with the hidden curriculum in education.”