Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines.
John P. LalorAhmed AbbasiKezia OketchYi YangNicole ForsgrenPublished in: ACM Trans. Inf. Syst. (2024)
Keyphrases
- theoretical framework
- unified model
- machine learning
- formal model
- computational model
- conceptual model
- mathematical model
- probabilistic model
- bayesian framework
- probability distribution
- decision model
- model free
- computer vision
- objective function
- conceptual framework
- theoretical foundation
- experimental data
- data mining
- mathematical framework
- information retrieval
- statistical model
- decision trees
- high level
- neural network
- knowledge acquisition
- image sequences
- prior knowledge