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Bias in the Loop: How Humans Evaluate AI-Generated Suggestions

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Bibliographic Details
Published in:Harvard Data Science Review
Format: Online Article RSS Article
Published: 2026
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container_title Harvard Data Science Review
description
discipline_display Data Mining
discipline_facet Data Mining
format Online Article
RSS Article
genre Journal Article
id rss_article:77108
institution FRELIP
journal_source_facet Harvard Data Science Review
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
Data Mining
General
Data Mining
sub_discipline_display General
sub_discipline_facet General
subject_display Data Mining
General
Data Mining
Data Mining
General
Data Mining
subject_facet Data Mining
General
Data Mining
title Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
title_auth Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
title_full Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
title_fullStr Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
title_full_unstemmed Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
title_short Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
title_sort bias in the loop: how humans evaluate ai-generated suggestions
topic Data Mining
General
Data Mining
url https://hdsr.mitpress.mit.edu/pub/nrcn4h7d