research
∙
09/13/2023
Setting the Right Expectations: Algorithmic Recourse Over Time
Algorithmic systems are often called upon to assist in high-stakes decis...
share
research
∙
02/17/2023
The Unbearable Weight of Massive Privilege: Revisiting Bias-Variance Trade-Offs in the Context of Fair Prediction
In this paper we revisit the bias-variance decomposition of model error ...
research
∙
02/13/2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice
The “impossibility theorem” – which is considered foundational in algori...
research
∙
02/09/2023
On Fairness and Stability: Is Estimator Variance a Friend or a Foe?
The error of an estimator can be decomposed into a (statistical) bias te...
research
∙
12/07/2022
Counterfactuals for the Future
Counterfactuals are often described as 'retrospective,' focusing on hypo...
research
∙
11/05/2022
Rankers, Rankees, Rankings: Peeking into the Pandora's Box from a Socio-Technical Perspective
Algorithmic rankers have a profound impact on our increasingly data-driv...
research
∙
08/26/2022
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy
Differential privacy mechanisms are increasingly used to enable public r...
research
∙
07/06/2022
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines
In this work we use Equal Oppportunity (EO) doctrines from political phi...
research
∙
06/10/2022
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance
Increasingly, laws are being proposed and passed by governments around t...
research
∙
05/27/2022
Temporal graph patterns by timed automata
Temporal graphs represent graph evolution over time, and have been recei...
research
∙
04/27/2022
Spending Privacy Budget Fairly and Wisely
Differentially private (DP) synthetic data generation is a practical met...
research
∙
01/23/2022
External Stability Auditing to Test the Validity of Personality Prediction in AI Hiring
Automated hiring systems are among the fastest-developing of all high-st...
research
∙
07/02/2021
Temporal Regular Path Queries
In the last decade, substantial progress has been made towards standardi...
research
∙
07/01/2021
Impact Remediation: Optimal Interventions to Reduce Inequality
A significant body of research in the data sciences considers unfair dis...
research
∙
06/15/2021
Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy
Recent interest in codifying fairness in Automated Decision Systems (ADS...
research
∙
04/30/2021
Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences
It remains an open question how to determine the winner of an election g...
research
∙
03/25/2021
Fairness in Ranking: A Survey
In the past few years, there has been much work on incorporating fairnes...
research
∙
06/15/2020
Causal intersectionality for fair ranking
In this paper we propose a causal modeling approach to intersectional fa...
research
∙
05/14/2020
Algorithmic Techniques for Necessary and Possible Winners
We investigate the practical aspects of computing the necessary and poss...
research
∙
03/16/2020
Supporting Hard Queries over Probabilistic Preferences
Preference analysis is widely applied in various domains such as social ...
research
∙
12/23/2019
Teaching Responsible Data Science: Charting New Pedagogical Territory
Although numerous ethics courses are available, with many focusing speci...
research
∙
11/28/2019
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions
The importance of incorporating ethics and legal compliance into machine...
research
∙
06/04/2019
Balanced Ranking with Diversity Constraints
Many set selection and ranking algorithms have recently been enhanced wi...
research
∙
03/08/2019
Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation
The data revolution continues to transform every sector of science, indu...
research
∙
08/21/2018
MobilityMirror: Bias-Adjusted Transportation Datasets
We describe customized synthetic datasets for publishing mobility data. ...
research
∙
05/10/2018
Computational Social Choice Meets Databases
We develop a novel framework that aims to create bridges between the com...
research
∙
04/29/2018
On Obtaining Stable Rankings
We often have to rank items with multiple attributes in a dataset. A typ...
research
∙
04/21/2018
A Nutritional Label for Rankings
Algorithmic decisions often result in scoring and ranking individuals to...
research
∙
10/24/2017
Synthetic Data for Social Good
Data for good implies unfettered access to data. But data owners must be...
research
∙
09/18/2017