Program

Session 1 (9:00 〜 10:30)

• Opening
  • 10 minutes
  • slide
• Using Image Fairness Representations in Diversity-Based Re-ranking for Recommendations
  • Chen Karako, Putra Manggala
  • article, slide
• Fairness-Aware Recommendation of Information Curators
  • Ziwei Zhu, Jianling Wang, Yin Zhang, James Caverlee
  • article, slide
• A Fairness-aware Hybrid Recommender System
  • Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor
  • article
• Personalizing Fairness-aware Re-ranking
  • Weiwen Liu, Robin Burke
  • article, slide

[Coffee Break (10:30 〜 11:00)]

Session 2 (11:00 〜 12:30)

• Special Talk: European Public Broadcasters Path towards Public Service Recommender Systems
  • Pierre-Nicolas Schwab, the Chairman of the Big Data Initiative, European Broadcasting Union, Geneva, Switzerland
  • abstract, slide
• The Case for Public Service Recommender Algorithms
  • Benjamin Fields, Rhia Jones, Tim Cowlishaw
  • article, slide

[Lunch (12:30 〜 14:10)]

• On your own

Session 3 (14:10 〜 15:30)

• “Let Me Tell You Who You are” — Explaining Recommender Systems by Opening Black Box User Profiles
  • David Graus, Maya Sappelli, Dung Manh Chu
  • article
• Fair Lending Needs Explainable Models for Responsible Recommendation
  • Jiahao Chen
  • article
• Synthetic Attribute Data for Evaluating Consumer-side Fairness
  • Robin Burke, Jackson Kontny, Nasim Sonboli
  • article, slide
• The Role of Differential Privacy in GDPR Compliance
  • Rachel Cummings, Deven Desai (presented by Yatharth Dubey)
  • article, slide

[Coffee Break (15:30 〜 16:00)]

Session 4 (16:00 〜 18:00)

• Assessing and Addressing Algorithmic Bias — But Before We Get There
  • Jean Garcia-Gathright, Aaron Springer, Henriette Cramer
  • article, slide
• Keynote Talk: What Does it Mean for an Algorithm to be Ethical? Connecting Ethics to Policy and Design
  • Shalaleh Rismani, Generation R; and Open Roboethics Institute
  • abstract, slide
• Discussion and Closing
  • 30 minutes