AAAI/ACM AIES Paper Submissions
Evaluates manuscript fit, framing, and evidence standards for the AAAI/ACM Conference on AI, Ethics, and Society (AIES).
The AAAI/ACM AIES Paper Submissions skill provides academic researchers with targeted strategic guidance for publishing at the AAAI/ACM Conference on AI, Ethics, and Society. It helps authors calibrate paper framing to match reviewer expectations for socio-technical research combining technical rigor with normative or empirical social analysis. The skill diagnoses potential desk-reject risks, evaluates evidence completeness, differentiates scope from adjacent venues like ACM FAccT or CSCW, and assists with cycle-specific checklists including anonymity, artifact policies, and rebuttal framing.
Características Principales
01Evaluates research fit for interdisciplinary AI ethics, governance, and socio-technical topics
02Provides comparative routing between AIES, ACM FAccT, CSCW, and mainstream ML conferences
03Guides reframing of journal or arXiv drafts into selective CS conference narratives
04Outputs structured fit assessments with gap analyses and actionable submission recommendations
05Identifies common desk-reject triggers such as missing baselines, overclaiming, and artifact gaps
061,074 GitHub stars
Casos de Uso
01Reframing an empirical audit or AI governance manuscript into a competitive AIES conference submission
02Conducting pre-submission audits for evidence gaps, formatting policies, and ethical disclosure standards
03Determining whether a socio-technical AI ethics paper is better suited for AIES or ACM FAccT