Tuesday, January 29:

9AM-12PM: Doctoral Consortium
12PM-1PM: Lunch (Doctoral Consortium participants only)
1:00PM-2:30PM: Tutorials 1

Room: Georgia Hall 2, 3

Translation Tutorial: A History of Quantitative Fairness in Testing

B. Hutchinson, M. Mitchell, S. Mitchell


Webcast

Room: Georgia Hall 4, 5

Implications Tutorial: Building Community Governance of Risk Assessment

H. Sassaman, R. Jones, D. Robinson.

Webcast

Room: Georgia Hall 7, 8

Hands-on Tutorial: pip install fairness: a fairness-aware classification toolkit

S. Friedler, C. Scheidegger, S. Venkatasubramanian

Room: Georgia Hall 9

Translation Tutorial: Values, Reflection and Engagement in Automated Decision-Making

R. Dobbe, M. Ames

2:30PM-3:00PM: Coffee Break: 30 mins
3:00PM-4:30PM: Tutorials 2

Room: Georgia Hall 2, 3

(3:00PM-3:45PM)

Invited Tutorial:
A New Era of Hate

K. Hankes, S. Shanmugasundaram
Southern Poverty Law Center (SPLC)

Webcast


(3:45PM-4:30PM)

Implications Tutorial: Parole denied: One Man's Fight Against a COMPAS Risk Assessment

C. Conti-Cook, G. Rodriguez

Webcast

Room: Georgia Hall 4, 5

(3:00PM-3:45PM)

Translation Tutorial: Toward a Theory of Race for Fairness in Machine Learning

E. Moss


Webcast


(3:45PM-4:30PM)

Translation Tutorial: Engineering for Fairness: How a Firm Conceptual Distinction between Unfairness and Bias Makes it Easier to Address Un/Fairness

J. Metcalf

Webcast

Room: Georgia Hall 7, 8

Hands-on Tutorial: AI Fairness 360 (part 1)

R. Bellamy, K. Dey, M. Hind, S. Hoffman, S. Houde, K. Kannan, P. Lohia, J. Martino, S. Mehta, A. Mojsilović, S. Nagar, K. Ramamurthy, J. Richards, D. Saha, P. Sattigeri, M. Singh, K. Varshney, D. Wang, Y. Zhang

Room: Georgia Hall 9

Hands-on Tutorial: Measuring Unintended Bias in Text Classification Models with Real Data

D. Borkan, L. Dixon, J. Sorensen, N. Thain, L. Vasserman

4:30PM-5:00PM: Coffee Break: 30 mins
5:00PM-6:30PM: Tutorials 3

Room: Georgia Hall 2, 3

Translation Tutorial: Challenges of incorporating algorithmic fairness into industry practice

H. Cramer, K. Holstein, J. Wortman Vaughan, H. Daumé III, M. Dudík, H. Wallach, S. Reddy, J. Garcia-Gathright

Webcast

Room: Georgia Hall 4, 5

Implications Tutorial: Reasoning About (Subtle) Biases in Data to Improve the Reliability of Decision Support Tools

S. Saria, A. Subbaswamy

Webcast

Room: Georgia Hall 7, 8

Hands-on Tutorial: AI Fairness 360(part 2)

R. Bellamy, K. Dey, M. Hind, S. Hoffman, S. Houde, K. Kannan, P. Lohia, J. Martino, S. Mehta, A. Mojsilović, S. Nagar, K. Ramamurthy, J. Richards, D. Saha, P. Sattigeri, M. Singh, K. Varshney, D. Wang, Y. Zhang

Room: Georgia Hall 9

(5:00PM-5:45PM)

Translation Tutorial: What technologists need to know about AI for international development

C. Jolley, A. Anthony



Wednesday, January 30:

8AM-8:45AM: Continental Breakfast
8:45AM-09AM: Opening Remarks
09AM-10:10AM: Keynote 1: Jon Kleinberg
10:00AM - 10:50AM: Session 1: Framing and Abstraction

Problem Formulation and Fairness
S. Passi, S. Barocas

50 Years of Test (Un)fairness: Lessons for Machine Learning
B. Hutchinson, M. Mitchell

Fairness and Abstraction in Sociotechnical Systems
A. Selbst, d. boyd, S. Friedler, S. Venkatasubramanian, J. Vertesi

10:50AM - 11:20AM Break
11:20AM - 12:10PM: Session 2: Systems and Measurement

Who's the Guinea Pig? Investigating Online A/B/n Tests in-the-Wild
S. Jiang, J. Martin, C. Wilson

Beyond Open vs. Closed: Balancing Individual Privacy and Public Accountability in Data Sharing
M. Young, L. Rodriguez, E. Keller, F. Sun, B. Sa, J. Whittington, B. Howe

Fairness-Aware Programming
A. Albarghouthi, S. Vinitsky

Model Cards for Model Reporting
M. Mitchell, S. Wu, A. Zaldivar, P. Barnes, B. Hutchinson, E. Spitzer, L. Vasserman, I. Raji, T. Gebru

12:10PM - 13:10PM: Lunch (Garden Courtyard)
13:10PM - 14:00PM: Session 3: Profiling and Representation

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
M. De-Arteaga, A. Romanov, H. Wallach, J. Chayes, C. Borgs, A. Chouldechova, S. Geyik, K. Kenthapadi, A. Kalai

Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations
A. Chakraborty, G. Patro, N. Ganguly, K. Gummadi, P. Loiseau

The Profiling Potential of Computer Vision and the Challenge of Computational Empiricism
J. Goldenfein

An Empirical Study of Rich Subgroup Fairness for Machine Learning
M. Kearns, S. Neel, A. Roth, Z. Wu

14:00PM - 14:50PM: Session 4: Fairness methods

Fairness through Causal Awareness: Learning Causal Latent-Variable Models for Biased Data
D. Madras, E. Creager, T. Pitassi, R. Zemel

From Soft Classifiers to Hard Decisions: How fair can we be?
R. Canetti, A. Cohen, N. Dikkala, G. Ramnarayan, S. Scheffler, A. Smith

Deep Weighted Averaging Classifiers
D. Card, M. Zhang, N. Smith

14:50PM - 15:20PM: Break
15:20PM - 16:10PM: Session 5: Content Distribution

On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook
F. Ribeiro, K. Saha, M. Babaei, L. Henrique, J. Messias, O. Goga, F. Benevenuto, K. Gummadi, E. Redmiles

Analyzing Biases in Perception of Truth in News Stories and their Implications for Fact Checking
M. Babaei, A. Chakraborty, J. Kulshrestha, E. Redmiles, M. Cha, K. Gummadi

Controlling Polarization in Personalization: An Algorithmic Framework
L. Celis, S. Kapoor, F. Salehi, N. Vishnoi

SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments
D. Bountouridis, J. Harambam, M. Makhortykh, M. Marrero, N. Tintarev, C. Hauff

16:10PM - 17:00PM: Session 6: Law and Policy

Robot Eyes Wide Shut: Understanding Dishonest Anthropomorphism
B. Leong, E. Selinger

Explaining Explanations in AI
B. Mittelstadt, C. Russell, S. Wachter

Racial categories in machine learning
S. Benthall, B. Haynes

Measuring the Biases that Matter: The Ethical and Casual Foundations for Measures of Fairness in Algorithms
B. Glymour, J. Herington

17:30PM-19:00PM: Reception (Capitol Ballroom)

Webcast


Thursday, January 31:

8AM - 8:45AM: Continental Breakfast
8:45AM - 9:00AM: Opening Remarks
9AM - 10:00AM: Keynote 2: Deirdre Mulligan
10:00AM - 10:50PM: Session 7: Explainability

Actionable Recourse in Linear Classification
B. Ustun, A. Spangher, Y. Liu

Model Reconstruction from Model Explanations
S. Milli, L. Schmidt, A. Dragan, M. Hardt

Efficient Search for Diverse Coherent Explanations
C. Russell

On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection
V. Lai, C. Tan

10:50AM - 11:20PM: Break
11:20AM - 12:10PM: Session 8: Economic Models I

A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity
H. Heidari, M. Loi, K. Gummadi, A. Krause

Access to Population-Level Signaling as a Source of Inequality
N. Immorlica, K. Ligett, J. Ziani

Fair Allocation through Competitive Equilibrium from Generic Incomes
M. Babaioff, N. Nisan, I. Talgam-Cohen

Fair Algorithms for Learning in Allocation Problems
H. Elzayn, S. Jabbari, C. Jung, M. Kearns, S. Neel, A. Roth, Z. Schutzman

12:10PM - 13:10PM: Lunch (Garden Courtyard)
13:10PM - 14:00PM: Town Hall
14:00PM - 14:50PM: Session 9: Learning Algorithms

Fairness under unawareness: assessing disparity when protected class is unobserved
J. Chen, N. Kallus, X. Mao, G. Svacha, M. Udell

Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
L. Celis, L. Huang, V. Keswani, N. Vishnoi

A comparative study of fairness-enhancing interventions in machine learning
S. Friedler, C. Scheidegger, S. Venkatasubramanian, S. Choudhary, E. Hamilton, D. Roth

14:50PM - 15:20PM: Break
15:20PM - 16:10PM: Session 10: Empirical Studies

Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments
B. Green, Y. Chen

Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 million people
Z. Obermeyer, S. Mullainathan

A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media
S. Chancellor, M. Birnbaum, E. Caine, V. Silenzio, M. De Choudhury

Clear Sanctions, Vague Rewards: How China’s Social Credit System Defines “Good” and “Bad” ‌Behavior
S. Engelmann, M. Chen, J. Grossklags, F. Fischer, C. Kao

16:10PM - 17:00PM: Session 11: Economic Models II

The Disparate Effects of Strategic Manipulation
L. Hu, N. Immorlica, J. Vaughan

The Social Cost of Strategic Classification
S. Milli, J. Miller, A. Dragan, M. Hardt

From Fair Decision Making To Social Equality
H. Mouzannar, M. Ohannessian, N. Srebro

Downstream Effects of Affirmative Action
S. Kannan, A. Roth, J. Ziani

17:00PM - 17:15PM: Closing Remarks