Supported by:NSF,
Rutgers University-Newark, and Rutgers Law School.
When: Monday, September 9th, 2019
Where: Great Hall, 15 Washington Street, Newark
What:
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.
Who:
Organizers
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Patrick Shafto, Rutgers University |
David Lopez, Rutgers Law School |
Invited Speakers
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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 |
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Karl Ricanek Jr., UNCW |
Andrew Selbst, Data & Society Research Institute |
Brittny-Jade Saunders, NYC Commission on Human Rights |
Nicol Turner-Lee, Center for Technology Innovation, Brookings Institute |
Schedule
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
Speakers:
- 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
Speakers:
- 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
Lodging
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.