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Fair ranking: a critical review, challenges, and future directions
Ranking, recommendation, and retrieval systems are widely used in online platforms and
other societal systems, including e-commerce, media-streaming, admissions, gig platforms …
other societal systems, including e-commerce, media-streaming, admissions, gig platforms …
Essay content and style are strongly related to household income and SAT scores: Evidence from 60,000 undergraduate applications
There is substantial evidence of the relationship between household income and
achievement on the standardized tests often required for college admissions, yet little …
achievement on the standardized tests often required for college admissions, yet little …
Bridging machine learning and mechanism design towards algorithmic fairness
Decision-making systems increasingly orchestrate our world: how to intervene on the
algorithmic components to build fair and equitable systems is therefore a question of utmost …
algorithmic components to build fair and equitable systems is therefore a question of utmost …
Algorithmic design: Fairness versus accuracy
Algorithms are increasingly used to guide consequential decisions, such as who should be
granted bail or be approved for a loan. Motivated by growing empirical evidence, regulators …
granted bail or be approved for a loan. Motivated by growing empirical evidence, regulators …
Strategic ranking
Strategic classification studies the design of a classifier robust to the manipulation of input by
strategic individuals. However, the existing literature does not consider the effect of …
strategic individuals. However, the existing literature does not consider the effect of …
Monoculture in matching markets
Algorithmic monoculture arises when many decision-makers rely on the same algorithm to
evaluate applicants. An emerging body of work investigates possible harms of this kind of …
evaluate applicants. An emerging body of work investigates possible harms of this kind of …
A Bayesian spatial model to correct under-reporting in urban crowdsourcing
Decision-makers often observe the occurrence of events through a reporting process. City
governments, for example, rely on resident reports to find and then resolve urban …
governments, for example, rely on resident reports to find and then resolve urban …
Test-optional admissions
The Covid-19 pandemic has accelerated the trend of many colleges moving to test-optional,
and in some cases test-blind, admissions policies. A frequent claim is that by not seeing …
and in some cases test-blind, admissions policies. A frequent claim is that by not seeing …
Subset selection based on multiple rankings in the presence of bias: Effectiveness of fairness constraints for multiwinner voting score functions
We consider the problem of subset selection where one is given multiple rankings of items
and the goal is to select the highest" quality" subset. Score functions from the multiwinner …
and the goal is to select the highest" quality" subset. Score functions from the multiwinner …
Algorithm design: A fairness-accuracy frontier
Algorithm designers increasingly optimize not only for accuracy, but also for the fairness of
the algorithm across pre-defined groups. We study the tradeoff between fairness and …
the algorithm across pre-defined groups. We study the tradeoff between fairness and …