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Positioning Interdisciplinary AI Research
facct-related-work
brycewang-stanford/Awesome-Journal-Skills
386
This guide provides best practices for authors writing the "Related Work" section for interdisciplinary AI conferences. It teaches how to precisely position novelty across multiple domains—including ML fairness, law, HCI, and critical theory—by writing delta-first contrasts and properly attributing borrowed concepts to their original academic source.
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Structuring Conference Submission Materials
facct-supplementary
brycewang-stanford/Awesome-Journal-Skills
351
A comprehensive guide for authors submitting to FAccT, detailing the mandatory separation of content into three zones: the main Body, the Endmatter statements (including Ethics and AI Usage), and the Appendix/Supplementary material. It outlines strict rules regarding anonymity, page limits, and ensuring the core argument is decision-critical and visible from the main reviewed pages.
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