Submissions:Bias Event Pattern

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Current revision ID: 14396

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General description

Name: Bias Event Pattern
Submitted by: MayraRusso
Also Known As:
Intent: An Ontology Design Pattern to Document Bias Events in Machine Learning Pipelines
Competency Questions:
  • Who were the participants in the Bias event?

Who was involved as bias recipient in a bias event?

Who was involved as bias source in a bias event?

What type of bias is documented?

What bias detection method was used?

What is the implication of the bias event documented?

Who are the bias recipient agents that do not have a bias source agent?

What are the bias events for which the bias recipient role is unknown?

What are the bias events for which the bias source role is unknown?

Solution description: We contribute towards improving the interpretation of the biases affecting ML systems while also accounting for them. We see this ODP as a building block to produce reliable and bias-aware documentation of machine learning pipelines
Reusable OWL Building Block: (0)
Scenarios: While the Bias Event ODP presented in this work is intended to be used with any machine learning pipeline, our use case is motivated by the surge of fake news classification systems.
Known Uses:
Web References:
Other References:
Examples (OWL files):
Extracted From:
Reengineered From:
Has Components:
Specialization Of:
Related CPs:


The Bias Event Pattern Content OP locally defines the following ontology elements:

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Scenarios about Bias Event Pattern

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Reviews about Bias Event Pattern

There is no review about this proposal. This revision (revision ID 14396) takes in account the reviews: none

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