src/data/conferences/facct.yml

- title: FAccT
  year: 2026
  id: facct26
  full_name:  ACM Conference on Fairness, Accountability, and Transparency
  link: https://facctconference.org/2026/index.html
  deadlines:
  - type: abstract
    label: Abstract Submission
    date: '2026-01-08 23:59:59'
    timezone: AoE
  - type: submission
    label: Paper Submission
    date: '2026-01-13 23:59:59'
    timezone: AoE
  - type: rebuttal_start
    label: Rebuttal Submission
    date: '2026-02-24 23:59:59'
    timezone: AoE
  - type: notification
    label: Initial Notification
    date: '2026-03-02 23:59:59'
    timezone: AoE
  - type: notification
    label: Final Notification
    date: '2026-04-08 23:59:59'
    timezone: AoE
  - type: camera_ready
    label: Camera-Ready Deadline
    date: '2026-05-11 23:59:59'
    timezone: AoE
  date: June 25 - June 28, 2026
  start: 2026-06-25
  end: 2026-06-28
  tags:
  - fairness
  - machine-learning
  - natural-language-processing
  - computer-vision
  city: Montreal
  country: Canada
  rankings: 'CCF: , CORE: , THCPL: '
  venue: Le Centre Sheraton Montréal, Montreal, QC, Canada
  hindex: 103
  note: ACM FAccT is an interdisciplinary conference dedicated to bringing together a diverse community of scholars from computer science, law, social sciences, and humanities to investigate and tackle issues in this emerging area. Research challenges are not limited to technological solutions regarding potential bias, but include the question of whether decisions should be outsourced to data- and code-driven computing systems. We particularly seek to evaluate technical solutions with respect to existing problems, reflecting upon their benefits and risks; to address pivotal questions about economic incentive structures, perverse implications, distribution of power, and redistribution of welfare; and to ground research on fairness, accountability, and transparency in existing legal requirements.