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07/27/2023
Reconciling the accuracy-diversity trade-off in recommendations
In recommendation settings, there is an apparent trade-off between the g...
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06/02/2023
Auditing for Human Expertise
High-stakes prediction tasks (e.g., patient diagnosis) are often handled...
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01/17/2023
Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection
Accurate bot detection is necessary for the safety and integrity of onli...
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12/28/2022
The Right to be an Exception to a Data-Driven Rule
Data-driven tools are increasingly used to make consequential decisions....
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02/23/2022
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
Online platforms have a wealth of data, run countless experiments and us...
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06/21/2021
Stochastic Model for Sunk Cost Bias
We present a novel model for capturing the behavior of an agent exhibiti...
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03/10/2021
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
Many technical approaches have been proposed for ensuring that decisions...
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01/14/2021
Algorithmic Monoculture and Social Welfare
As algorithms are increasingly applied to screen applicants for high-sta...
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10/12/2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Decision-making systems increasingly orchestrate our world: how to inter...
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05/19/2020
Greedy Algorithm almost Dominates in Smoothed Contextual Bandits
Online learning algorithms, widely used to power search and content opti...
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12/10/2019
The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons
Counterfactual explanations are gaining prominence within technical, leg...
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12/10/2019
Roles for Computing in Social Change
A recent normative turn in computer science has brought concerns about f...
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06/21/2019
Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices
There has been rapidly growing interest in the use of algorithms for emp...
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05/07/2019
Hiring Under Uncertainty
In this paper we introduce the hiring under uncertainty problem to model...
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07/13/2018
How Do Classifiers Induce Agents To Invest Effort Strategically?
Machine learning is often used to produce decision-making rules that cla...
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06/01/2018
The Externalities of Exploration and How Data Diversity Helps Exploitation
Online learning algorithms, widely used to power search and content opti...
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02/26/2018
Mapping the Invocation Structure of Online Political Interaction
The surge in political information, discourse, and interaction has been ...
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01/04/2018
Selection Problems in the Presence of Implicit Bias
Over the past two decades, the notion of implicit bias has come to serve...
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09/06/2017
On Fairness and Calibration
The machine learning community has become increasingly concerned with th...
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06/04/2017
Planning with Multiple Biases
Recent work has considered theoretical models for the behavior of agents...
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09/19/2016