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ACM SIGIR Conference on Human Information Interaction and Retrieval
Search systems, like many other applications of machine learning, have become increasingly complex and opaque. The notions of relevance, usefulness, and trustworthiness with respect to information were already overloaded and often difficult to articulate, study, or implement. 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 thisdoi:10.1145/3498366.3505816 fatcat:v7xrehl2djd3nbuyfxkrlzssg4