domains / families / research / acm-conference-on-fairness-accountability-and-transparency

acm-conference-on-fairness-accountability-and-transparency

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Use when targeting ACM Conference on Fairness, Accountability, and Transparency (FAccT) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for responsible AI.

When to use

• targeting ACM Conference on Fairness, Accountability, and Transparency (FAccT)
• deciding whether a computer-science manuscript fits this venue
• conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for responsible AI
• manuscript in fairness needs a conference-fit read before being formatted or submitted
• re-framed from journal style or arXiv style into a selective CS conference narrative
• evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue
• fairness, accountability, transparency, audits, policy, measurement, and socio-technical AI systems
• responsible-AI paper whose claims are grounded in both technical measurement and social context

When not to use

• substitute for the current year's CFP, author kit, ethics policy, or submission portal
• generic CS paper until the introduction names the exact subcommunity, contribution type, and proof or empirical standard
• broader AI ethics and policy work to AIES
• collaboration/social-platform studies to CSCW
• pure ML methods to ML venues unless accountability or fairness is central
• method-only fairness can fit NeurIPS/ICML

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