Search
Search Results
-
Fairness and Liveness Under Weak Consistency
We consider the verification of concurrent programs running on weakly consistent platforms, i.e., weaker semantics than the classical Sequential...
-
Yet Another Impossibility Theorem in Algorithmic Fairness
In recent years, there has been a surge in research addressing the question which properties predictive algorithms ought to satisfy in order to be...
-
Fairness with censorship and group constraints
Fairness in machine learning (ML) has gained attention within the ML community and the broader society beyond with many fairness definitions and...
-
Fairness criteria for allocating indivisible chores: connections and efficiencies
We study several fairness notions in allocating indivisible chores (i.e., items with disutilities) to agents who have additive and submodular cost...
-
The Man Behind the Curtain: Appropriating Fairness in AI
Our goal in this paper is to establish a set of criteria for understanding the meaning and sources of attributing (un)fairness to AI algorithms. To...
-
Fairness-aware machine learning engineering: how far are we?
Machine learning is part of the daily life of people and companies worldwide. Unfortunately, bias in machine learning algorithms risks unfairly...
-
Search-based Automatic Repair for Fairness and Accuracy in Decision-making Software
Decision-making software mainly based on Machine Learning (ML) may contain fairness issues (e.g., providing favourable treatment to certain people...
-
Fairness-aware fake news mitigation using counter information propagation
Given the adverse impact of fake news propagation on Social media, fake news mitigation has been one of the main research directions. However,...
-
Algorithmic Fairness
An increasing number of decisions regarding the daily lives of human beings are being controlled by artificial intelligence (AI) and machine learning...
-
Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare
As machine learning (ML) usage becomes more popular in the healthcare sector, there are also increasing concerns about potential biases and risks...
-
MBFair: a model-based verification methodology for detecting violations of individual fairness
Decision-making systems are prone to discrimination against individuals with regard to protected characteristics such as gender and ethnicity....
-
On prediction-modelers and decision-makers: why fairness requires more than a fair prediction model
An implicit ambiguity in the field of prediction-based decision-making concerns the relation between the concepts of prediction and decision. Much of...
-
Fairness, Simulations, and Inhibitor Arcs
An execution of a parallel system is fair if no activity that is capable of taking place is denied this capability for a very long time, or even...
-
Egalitarian Price of Fairness for Indivisible Goods
In the context of fair division, the concept of price of fairness has been introduced to quantify the loss of welfare when we have to satisfy some...
-
Investigating the influence of agent modality and expression on agent-mediated fairness behaviours
With technological developments, individuals are increasingly able to delegate tasks to autonomous agents that act on their behalf. This may cause...
-
A model of the relationship between the variations of effectiveness and fairness in information retrieval
The requirement that, for fair document retrieval, the documents should be ranked in the order to equally expose authors and organizations has been...
-
Policy advice and best practices on bias and fairness in AI
The literature addressing bias and fairness in AI models ( fair-AI ) is growing at a fast pace, making it difficult for novel researchers and...
-
Enforcing fairness using ensemble of diverse Pareto-optimal models
One of the main challenges of machine learning is to ensure that its applications do not generate or propagate unfair discrimination based on...
-
Algorithmic indirect discrimination, fairness and harm
Over the past decade, scholars, institutions, and activists have voiced strong concerns about the potential of automated decision systems to...
-
Fairness task assignment strategy with distance constraint in Mobile CrowdSensing
Mobile CrowdSensing(MCS) has become a promising paradigm and attracted significant attention from academia, in which mobile users can complete...
