Correction: A balance for fairness: fair distribution utilising physics

Fairness Constraints: A Mechanism for Fair Classification

Abstract Automated data-driven decision systems are ubiquitous across a wide variety of online services, from online social networking and ecommerce to e-government. These systems rely on complex learning methods and vast amounts of data to optimize the service functionality, satisfaction of the end user and profitability. However, there is a growing concern that these automated decisions can l...

Correction: Expanded HTA: Enhancing Fairness and Legitimacy

Fairness Constraints: Mechanisms for Fair Classification

Algorithmic decision making systems are ubiquitous across a wide variety of online as well as offline services. These systems rely on complex learning methods and vast amounts of data to optimize the service functionality, satisfaction of the end user and profitability. However, there is a growing concern that these automated decisions can lead, even in the absence of intent, to a lack of fairn...

Stochastic Fair Blue: A Queue Management Algorithm for Enforcing Fairness

This paper describes and evaluates Stochastic Fair Blue(SFB), a novel technique for enforcing fairness among a large number of flows. SFB scalably detects and rate-limits non-responsive flows through the use of a marking probability derived from the BLUE queue management algorithm and a Bloom filter. Using analysis and simulation, SFB is shown to effectively handle non-responsive flows using an...

Fairness Opinions : Are They Fair or Should