(18 Feb 2024) In this commentary, the authors from University of Washington discuss the evolving nature of search engines, as they begin to generate, index, and distribute content created by generative artificial intelligence (GenAI). The discussion highlights challenges in the early stages of GenAI integration, particularly around factual inconsistencies and biases. They discuss how output from GenAI carries an unwarranted sense of credibility, while decreasing transparency and sourcing ability. Furthermore, search engines are already answering queries with error-laden, generated content, further blurring the provenance of information and impacting the integrity of the information ecosystem. The authors argue how all these factors could reduce the reliability of search engines. Finally, we summarize some of the active research directions and open questions.
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