Track 1. Computer Science

An Empirical Study on the Perceived Fairness of Realistic, Imperfect Machine Learning Models

G. Harrison, J. Hanson, C. Jacinto, J. Ramirez, B. Ur

Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination

N. Kallus; X. Mao; A. Zhou

Bias in word embeddings

O. Papakyriakopoulos; S. Hegelich; J. Serrano; F. Marco

Closing the AI Accountability Gap: Defining a SMArTeR Framework for Internal Algorithmic Auditing

D. Raji; A. SMART; R. White; M. Mitchell; T. Gebru; B. Hutchinson; J. Smith-Loud; D. Theron; P. Barnes

Counterfactual Risk Assessments, Evaluation, and Fairness

A. Coston, A. Chouldechova, E. Kennedy

Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability

J. Mena Roldán; O. Pujol Vila; J. Vitrià Marca

Doctor XAI: An ontology-based approach to black-box sequential data classification explanations

C. Panigutti; A. Perotti; D. Pedreschi

Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making

Y. Zhang; Q. Liao; R. Bellamy

Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches

K. Sokol; P. Flach

Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations

R. Mothilal; A. Sharma; C. Tan

Fair Classification and Social Welfare

L. Hu; Y. Chen

Fair Decision Making using Privacy-Protected Data

S. Kuppam; R. McKenna; D. Pujol; M. Hay; A. Machanavajjhala; G. Miklau

Fairness and Utilization in Allocating Resources with Uncertain Demand

K. Donahue; J. Kleinberg

Fairness Is Not Static: Deeper Understanding of Long Term Fairness via Agents and Environments

A. D'Amour; Y. Halpern; H. Srinivasan; P. Baljekar; J. Atwood; D. Sculley

Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data

D. Slack; S. Friedler; E. Givental

FlipTest: Fairness Testing via Optimal Transport

E. Black; S. Yeom; M. Fredrikson

Interventions for Ranking in the Presence of Implicit Bias

A. Mehrotra; L. Celis; N. Vishnoi

Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning

E. Jo; T. Gebru

Multi-category Fairness in Sponsored Search Auctions

C. Ilvento; M. Jagadeesan; S. Chawla

POTs: Protective Optimization Technologies

R. Overdorf; B. Kulynych; E. Balsa; C. Troncoso; S. Gürses

Preference-Informed Fairness

M. Kim; A. Korolova; G. Rothblum; G. Yona

Recommendations and User Agency: The Reachability of Collaboratively-Filtered Information

S. Dean; S. Rich; B. Recht

Reducing Sentiment Polarity for Demographic Attributes in Word Embeddings using Adversarial Learning

C. Sweeney; M. Najafian

The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally

L. Liu; A. Wilson; N. Haghtalab; A. Kalai; C. Borgs; J. Chayes

The Effect of Competition and Regulation on Error Inequality in Data-Driven Markets

H. Elzayn; B. Fish

The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons

S. Barocas; A. Selbst; M. Raghavan

Whose Tweets are Surveilled for the Police: An Audit of a Social-Media Monitoring Tool via Log Files

G. Borradaile; B. Burkhardt; A. LeClerc

Why Does My Model Fail? Contrastive Local Explanations for Retail Forecasting

A. Lucic; H. Haned; M. de Rijke

Track 2. Law

Algorithmic Accountability in Public Administration: The GDPR Paradox

S. Kang

Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination

A. Rieke; M. Bogen; S. Ahmed

Multi-layered Explanation from Algorithmic Impact Assessments in the GDPR

G. Malgieri; M. Kaminski

Regulating Transparency? Facebook, Twitter and the German Network Enforcement Act

B. Wagner, K. Rozgonyi, M. Sekwenz, J. Singh, J. Cobbe

The False Promise of Risk Assessments: Epistemic Reform and the Limits of Fairness

B. Green

What does it mean to ‘solve’ the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems

J. Sánchez-Monedero, L. Dencik, L. Edwards

What “Fairness” means? A linguistic and contextual interpretation from the GDPR

G. Malgieri

Track 3. Social Sciences and Humanities

Algorithmic Realism: Expanding the Boundaries of Algorithmic Thought

B. Green; S. Viljoen

From Ethics Washing to Ethics Bashing: A View on Tech Ethics from Within Moral Philosophy

E. Bietti

Implications of AI (Un-)Fairness in Higher Education Admissions: The Effects of Perceived AI (Un-)Fairness on Exit, Voice and Organizational Reputation

F. Marcinkowski, K. Kieslich, C. Starke, M. Lünich

Measuring Injustice in Machine Learning: Difference, Discrimination, and Disability

A. Lundgard

Objectivity in ML Explanations: Why Robustness Matters

L. Hancox-Li

On the Apparent Conflict Between Individual and Group Fairness

R. Binns

Onward for the freedom of others: Marching beyond the AI Ethics

P. Terzis

Roles for Computing in Social Change

R. Abebe; S. Barocas; J. Kleinberg; K. Levy; M. Raghavan; D. Robinson

Studying Up: Reorienting the study of algorithmic fairness around issues of power

C. Barabas; C. Doyle; J. Rubinovitz; K. Dinakar

The Case for Voter-Centered Audits of Search Engines during Political Elections

E. Mustafaraj; E. Lurie; C. Devine

The philosophical basis of algorithmic recourse

S. Venkatasubramanian; M. Alfano

The relationship between trust in AI and trustworthy machine learning technologies

E. Toreini; M. Aitken; A. van Moorsel; K. Elliott; K. Coopamootoo

The Social Lives of Generative Adversarial Networks

M. Castelle

Towards a Critical Race Methodology in Algorithmic Fairness

E. Denton; A. Hanna; J. Smith-Loud; A. Smart

Value-laden Progress in Machine Learning

R. Dotan; S. Milli

What to account for when accounting for algorithms: A systematic literature review on algorithmic accountability

M. Wieringa

Whose Side are Ethics Codes On? Power, Responsibility and the Social Good

A. Washington, R. Kuo

Track 4. Practice and Experience

Auditing Radicalization Pathways on YouTube

M. Ribeiro; R. Ottoni; R. West; V. Almeida; W. Meira Jr.

Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions

K. Rodolfa; E. Salomon; L. Haynes; I. Mendieta; J. Larson; R. Ghani

Data in New Delhi's predictive policing system

V. Marda; S. Narayan

Garbage In, Garbage Out: Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?

R. Geiger, K. Yu, Y. Yang, M. Dai, J. Qiu, R. Tang, J. Huang

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

M. Raghavan; S. Barocas; J. Kleinberg; K. Levy

Quantifying the impact of overbooking on a pre-trial risk assessment tool

K. Lum; C. Boudin; M. Price

The Human Body is a Black Box: Supporting Clinical Decision-Making with Deep Learning

M. Sendak; M. Elish; M. Gao; W. Ratliff; M. Nichols; J. Futoma; A. Bedoya; S. Balu; C. O'Brien

Toward Situated Interventions for Fairness, Accountability, and Transparency: Lessons from the field

M. Katell, M. Young, B. Herman, D. Dailey, V. Guetler, A. Tam, C. Binz, D. Raz, P. Krafft

Track 5. Education

Integrating FATE/Critical Data Studies into Data Science curricula: where are we going and how do we get there?

J. Bates; D. Cameron; A. Checco; P. Clough; F. Hopfgartner; S. Mazumdar; L. Sbaffi; P. Stordy; A. de León

Towards a more representative politics in the ethics of computer science

J. Moore