Search Results for author:
Found 7 papers, 4 papers with code
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems
Generalizing this intuition, this paper proposes a new equal confusion fairness test to check an automated decision system for fairness and a new confusion parity error to quantify the extent of any unfairness.
Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models
Criminal recidivism models are tools that have gained widespread adoption by parole boards across the United States to assist with parole decisions.
Error Parity Fairness: Testing for Group Fairness in Regression Tasks
Overall, the proposed regression fairness testing methodology fills a gap in the fair machine learning literature and may serve as a part of larger accountability assessments and algorithm audits.
System Cards for AI-Based Decision-Making for Public Policy
This work also proposes system cards to serve as scorecards presenting the outcomes of such audits.
Extracting the signed backbone of intrinsically dense weighted networks
Here, we provide the first methods for extracting signed network backbones from intrinsically dense unsigned unipartite weighted networks.
Social and Information Networks Physics and Society Applications
Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks
Diffusion reach probability between two nodes on a network is defined as the probability of a cascade originating from one node reaching to another node.
A Community-aware Network Growth Model for Synthetic Social Network Generation
This study proposes a novel network growth model named ComAwareNetGrowth which aims to mimic evolution of real-world social networks.
Social and Information Networks Physics and Society
