This is a comprehensive repository containing the latest papers, tutorials, and other resources on Fairness in Artificial Intelligence.

Indexed by year and venue:

• 2022: AAAI, AISTATS, BIGDATA, CIKM, FAT*, ICDM, ICLR, ICML, IJCAI, KDD, NIPS, SDM, UAI, WWW, Others
• 2021: AAAI, AISTATS, BIGDATA, CIKM, FAT*, ICDM, ICLR, ICML, IJCAI, KDD, NIPS, SDM, UAI, WWW, Others
• 2020: AAAI, AISTATS, BIGDATA, CIKM, FAT*, ICDM, ICML, IJCAI, KDD, NIPS, SDM, UAI, WWW, Others
• 2019: AAAI, AISTATS, BIGDATA, CIKM, FAT*, ICDM, ICML, IJCAI, KDD, NIPS, SDM, UAI, WWW, Others
• 2018: AAAI, AISTATS, CIKM,FAT*, ICDM, ICML, IJCAI, KDD, NIPS, WWW, Others
• 2017: AAAI, AISTATS, BigData, CIKM, ICDM, ICML, IJCAI, KDD, NIPS, UAI, WWW, Others
• 2016: ICDM, IJCAI, NIPS, SDM, Others
• 2015: KDD
• before 2015: All

Indexed by year and venue:

• 2019: AIES, FAT/ML, FATES
• 2018: AIES, FAT/ML
• 2017: FAT/ML
• 2016: FAT/ML
• 2015: FAT/ML
• Before 2015: FAT/ML 2014

• Tutorials
• Courses
• Workshops
• Dataset

• Works from our group (SAIL)

  • Papers from SAIL
  • Tutorials by SAIL

• Data Sources

  • Conference proceedings are found at DBLP.
  • The following conferences are considered:

    AAAI, AISTATS, ASONAM, BigData, CIKM, COLT, FAT*, ICDM, ICML, IJCAI, ITCS, KDD, NIPS, SDM, UAI, WSDM, WWW

  • The following workshops are considered:

    AIES, FAT/ML, FATES