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Chirag Shah, Professor of Information Science, University of Washington

AI information retrieval: A search engine researcher explains the promise and peril of letting ChatGPT and its cousins search the web for you

Large language model AI responds to questions but doesn't actually know anything and is prone to making things up. Charles Taylor/iStock via Getty Images

The prominent model of information access before search engines became the norm – librarians and subject or search experts providing relevant information – was interactive, personalized, transparent and authoritative. Search engines are the primary way most people access information today, but entering a few keywords and getting a list of results ranked by some unknown function is not ideal.

A new generation of artificial intelligence-based information access systems, which includes Microsoft’s Bing/ChatGPT, Google/Bard and Meta/LLaMA, is upending the traditional search engine mode of search input and output. These systems are able to take full sentences and even paragraphs as input and generate personalized natural language responses.

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