2014 Schedule

• 09:00 Introduction

  Solon Barocas and Moritz Hardt

• 09:20 Can We Learn to Be Fair?

  Cynthia Dwork

• 10:00 Break

• 10:30 Learning Rich But Fair Representations

  Richard Zemel

• 11:10 Moving Beyond Prediction: Big Data, Transparency, and Accountability

  Hanna Wallach

• 11:50 Break

• 12:00 Privacy through Accountability: Information Flow Experiments

  Anupam Datta, Michael Carl Tschantz, and Amit Datta

• 12:40 Certifying and Removing Disparate Impact

  Sorelle Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian

• 13:00 Lunch

• 15:00 Accountable Algorithms

  Joshua Kroll and Ed Felten

• 15:40 Civil Rights and Machine Learning: Emerging Policy Questions

  David Robinson and Harlan Yu

• 16:30 Break

• 17:00 Closing Panel Discussion

  Rayid Ghani, Cathy O'Neil, Foster Provost, and Solon Barocas (moderator)

Sponsors