Supported by:  NSF,  Rutgers University-Newark, and Rutgers Law School. 

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When: Monday, September 9th, 2019

Where: Great Hall, 15 Washington Street, Newark


The conference will bring together diverse scholars from machine learning & artificial intelligence with experts in the legal, social and workforce implications of these technologies. The goals will be to: 1) understand the current state of the art in Machine Learning & AI and the Law, focusing on aspects of fairness and accountability; 2) discuss current and potential future implications of these technologies for society; and 3) prioritize actions that can be taken, in Newark and across the country, to ensure a future in which technologies benefit our diverse citizenry.



Patrick Shafto,
Rutgers University
David Lopez,
Rutgers Law School

Invited Speakers

Rediet Abebe,
Harvard University
Ifeoma Ajunwa,
Cornell University
Solon Barocas,
Cornell University
Pauline Kim,
Washington University in St. Louis
Michael King, Florida Institute of Technology
Karl Ricanek Jr.,
Andrew Selbst,
Data & Society Research Institute
Brittny-Jade Saunders,
NYC Commission on Human Rights
Nicol Turner-Lee,
Center for Technology Innovation, Brookings Institute


Main Conference

9:00 am – 9:30 am      Breakfast Mingle & Opening Remarks

  • Dean David Lopez, Rutgers Law School (short intro by Patrick Shafto)

9:30 am – 12:30 pm     Morning Talks & Panel


  • Ifeoma Ajunwa, Asst Professor of Labor & Employment Law, Cornell University, “The Paradox of Automating as Anti-Bias Intervention”
  • Rediet Abebe, Computer Science, Harvard University, “Mechanism Design for Social Good”
  • ~Solon Barocas, Asst Professor of Information Science, Cornell University, “On Proxies and Fairness”~ (Illness)
  • Karl Ricanek, Jr., Professor of Computer Science, UNC-Wilmington, “Why is face recognition hard to deploy? Systemic Issues with in AI-derived Face Processing”
  • Pauline Kim, Professor of Law, Washington University in St. Louis, “The New Labor Market Intermediaries”
  • Panel discussion with speakers moderated by Jerome Williams, Rutgers Business School

12:30 pm – 1:15 pm    Lunch & Group Discussions

1:15 pm – 2:15 pm     Poster Presentations

  • Stevie Chancellor, Georgia Tech; Maria De Arteaga Gonzalez, CMU; Hadi Elzayn, UPenn; Vivian Lai, University of Colorado; Smitha Milli, UC Berkeley; Inioluwa Raji, University of Toronto; Vivek Singh, Rutgers University; Philip Wren Smith, UNCW; Salam Watola, Lodz University of Technology; Bryan Wilder, Harvard; Meg Young, University of Washington.

2:15 pm – 2:30 pm      Afternoon remarks

  • Fay Cobb Payton, NSF

2:30 pm – 5:00 pm     Afternoon Talks & Panel


  • Nicol Turner-Lee, Governance Studies Fellow, Brookings Institute, “Detecting and mitigating online racial bias in machine learning algorithms”
  • Andrew Selbst, Postdoctoral Scholar, Data & Society Research Institute, “Implementing Algorithmic Impact Assessments”
  • Brittny-Jade Saunders, Deputy Commissioner for Strategic Initiatives, NYC Commission on Human Rights, “Algorithms and Human Rights: A Local Government Perspective”
  • Michael King, Computer Science, Florida Institute of Technology, “Are Face Recognition Systems Biased Relative to Race and Gender?”
  • Panel discussion with speakers moderated by Jerome Williams, Rutgers Business School

5:00 pm – 5:30 pm     Closing remarks

  • Patrick Shafto, Mathematics and Computer Science, Rutgers University–Newark

Post-Conference at Clement’s Place Jazz Club

15 Washington Street, Newark

5:30 pm – 9:30 pm

Continuing the discussion over music and hors d’oeuvres


A block of rooms is reseved at the Robert Treat Hotel. There are also a number other hotels in close proximity including the Hampton Inn & Suites Newark-Harrison-Riverwalk, DoubleTree by Hilton Newark Penn Station, and Hotel Indigo Newark Downtown.