Statistics Annual Winter Workshop 2022: Algorithm Fairness and Bias in AI

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Statistics Annual Winter Workshop 2022: Algorithm Fairness and Bias in AI

January 14 - January 15

The University of Florida Department of Statistic’s Annual Winter Workshop will take place, via Zoom, on January 14-15, 2022 (Friday-Saturday). 

This year’s title is:Algorithm Fairness and Bias in AI

Abstract:

It is an exciting time for AI at the University of Florida. The University of Florida is making artificial intelligence the centerpiece of a major, long-term initiative that is combining world-class research infrastructure, cutting-edge research, and a transformational approach to curriculum. This has been facilitated by the gift of a  supercomputer — known as HiPerGator AI — based on an NVIDIA DGX SuperPOD of 140 DGX A100 systems and NVIDIA Mellanox HDR InfiniBand networking from UF Alumnus Chris Malachowsky and NVIDIA, the leading AI computing company he co-founded. It pairs with the third incarnation of UF’s general purpose supercomputer HiPerGator 3.0.

Broad societal acceptance of large-scale deployments of AI systems rely critically on their trustworthiness which, in turn, depends on the ability to assess and demonstrate the fairness (including broad accessibility and utility), transparency and explainability of such systems. For example, the issue of fairness and bias are central to the behavior of algorithms for face recognition, speech, and language, especially when integrated into decision support systems.

Research thrusts on this topic include  algorithmic advances, fairness objectives, validation of fairness, participatory design, explainability, presence of adverse biases (including social ones), mitigation strategies and so forth.

Eight national and international researchers on AI will report on their latest research.  

Agenda:

Friday, January 14, 2022: [ENTIRE WORKSHOP IS NOW VIRTUAL VIA ZOOM]

  • 8:00AM: Registration and Zoom waiting room open
  • 9:00AM: Introductions by Dr. Michael Daniels and Dr. Brian Harfe
  • 9:15AM: Session 1: Dr. Rayid Ghani, Professor in Machine Learning and Public Policy, Carnegie Mellon University, “Practical Lessons and Challenges in Building Fair and Equitable AI/ML Systems” [Introduction by Dr. Daniels]
  • 10:00AM: Session 3: Dr. Alexandra Chouldechova, Estella Loomis McCandless Assistant Professor of Statistics and Public Policy at Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Statistical Challenges in Algorithmic Fairness and Accountability[Introduction by Dr. Sayar Karmakar]
  • 10:45AM: Lunch
  • 12:45PM: Poster Presentations by:
    • Heting Wang, Graduate Student, Dept. of Computer & Information Science & Engineering; “Does Dataset Distillation Impact Privacy?”
    • Dr. Octavio Mesner, Posdoctoral Researcher, Dept. of Statistics, University of Michigan; “Fair Information Spread on Social Networks with Community Structure”
    • Dr. J. Chris Goldstein, Instructor, Dept. of Anesthesiology, “Mitigating AI Bias: Teaching Resident Physicians to Become Anesthesiologists-in-the-Loop (AITL)”
  • 1:15PM: Session 4: Dr. Yuekai Sun, Assistant Professor, University of Michigan, “Does Enforcing Fairness Mitigate Algorithmic Biases Due to Distributional Shift?” [Introduction by Dr. George Michailidis]
  • 2:00PM: Session 5: Dr. Ilya Shpitser, John C. Malone Assistant Professor at the department of Computer Science at Johns Hopkins University, “The Proximal ID Algorithm” [Introduction by Dr. Joey Antonelli]
  • 2:45PM: Adjourn for day

Saturday, January 15, 2022:

  • 9:15AM: Session 1: Dr. Kush Varshney, Distinguished Research Staff Member and Manager with IBM Research, Thomas J. Watson Research Center, “A Perspective on AI Governance” [Introduction by Dr. Aaron Molstad]
  • 10:00AM: Morning Break
  • 10:15AM: Session 2: Dr. Negar Rostamzadeh, Senior Research Scientist, Google, “Rethinking Values in Machine Learning Research and Practice” [Introduction by Dr. Rohit Patra]
  • 11:00AM: Session 3: Dr. Arthur Gretton, (virtual) Professor with the Gatsby Computational Neuroscience Unit, University College of London, “Causal Modelling with Kernels: Treatment Effects, Counterfactuals, Mediation, and Proxies” [Introduction by Dr. George Michailidis]
  • 11:45AM: Closing Remarks by Dr. George Michailidis

Agenda: 

Travel Awards Competition for Poster Presenters [Closed]

The Poster Presentation Session is open to graduate students, post doctoral researchers and junior faculty.

Travel awards will be awarded to poster presenters who are external to UF and attending live in-person.

In addition, applications will be accepted for review from both anyone attending live/in-person or virtual.

Poster requirements, should you be selected:
48 inches x 36 inches
Each poster display should include a lettered sign giving the title and name(s) of the presenter(s). This sign should be 6 inches with letters at least 2 inches high in a bold font.
Text should be limited to four or five pages of double-spaced, 16-20 point text.

All selected poster presenters will still be required to registers as normal attendees of the conference.

Submission of poster application, click here.

Conferences Organizers: Dr. Michael Daniels, Chair of Dept. of Statistics, Dr. George Michailidis, Director of UF Informatics Institute, Dr. Rohit Patra and Dr. Georgia Papadogeorgou, Assistant Professors of Statistics

The Stats Winter Workshop is co-sponsored by the University of Florida Informatics Institute, Department of Statistics, and InfoTech Consulting.

REGISTRATION FEES: Payable online by credit card.

$75.00 Outside of UF/General Registration Fee
$25.00 UF Faculty/Staff/Student (Non Stats Depts.) Registration Fee
FREE UF Faculty/Staff/Students (Statistics Department ONLY) Registration Fee
FREE All Virtual Participants Registration Fee

Please let us know if you need a vegetarian, gluten-free, or vegan meal on the registration form.

For more information, contact workshop organizers at winterworkshop@stat.ufl.edu

The Program is Sponsored By:

UF Department of Statistics Logo

LOCATION:

Friday-Saturday, January 14-15, 2022
J. Wayne Reitz Union
655 Reitz Union Drive 
Gainesville, FL 32611

Location and Hotels

Accommodation

The hotels in the area of Gainesville can be found in the following links:

We encourage participants to rank hotels according to their multiple objectives in terms of costs, distance, etc., and to carefully control check-in and check-out dates and reservation terms.

Coffee and refreshments will be available during conference breaks to encourage informal interactions between the participants.

How to reach Gainesville, FL

Gainesville is serviced by the Gainesville Regional Airport , with direct flights to major international hubs, such as Atlanta, Charlotte, Dallas and Miami. Visitors can also travel to the nearby cities of Orlando (185 kilometers/115 miles), Tampa (209 kilometers/130 miles), and Jacksonville (112 kilometers/70 miles), all with International Airports.

Event Parking

It is recommended that outside visitors acquire a cap or shuttle service from their hotel, if possible, as UF parking on Friday and Saturday will be under normal restrictions. . Please see the linked maps below, however, for further campus details.

UF Campus Map- https://campusmap.ufl.edu/#

UF Parking Map- http://parking.ufl.edu/parking-at-uf/parking-map/

 

Details

Start:
January 14
End:
January 15
Event Category:

Venue

J. Wayne Reitz Union