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Class: ModelBias

Bias that occurs when ML uses functions like a maximum likelihood

estimator to determine parameters, and there is data skew or

under-representation present in the data, where the maximum likelihood

estimation tends to amplify any underlying bias in the distribution

URI: ai:ModelBias

 classDiagram
    class ModelBias
    click ModelBias href "../ModelBias/"
      EngineeringDecisionBias <|-- ModelBias
        click EngineeringDecisionBias href "../EngineeringDecisionBias/"

Inheritance

Class Properties

Property Value
Class URI ai:ModelBias

Slots

Name Cardinality and Range Description Inheritance

In Subsets

Aliases

  • Model Bias

Identifier and Mapping Information

Annotations

property value
dct_source ISO/IEC 24027:2021
upstream_iri https://w3id.org/dpv/ai/owl#ModelBias
dpv_extension_slug ai

Schema Source

Mappings

Mapping Type Mapped Value
self ai:ModelBias
native ai:ModelBias
exact dpv_ai:ModelBias, dpv_ai_owl:ModelBias

LinkML Source

Direct

name: ModelBias
annotations:
  dct_source:
    tag: dct_source
    value: ISO/IEC 24027:2021
  upstream_iri:
    tag: upstream_iri
    value: https://w3id.org/dpv/ai/owl#ModelBias
  dpv_extension_slug:
    tag: dpv_extension_slug
    value: ai
description: 'Bias that occurs when ML uses functions like a maximum likelihood

  estimator to determine parameters, and there is data skew or

  under-representation present in the data, where the maximum likelihood

  estimation tends to amplify any underlying bias in the distribution'
in_subset:
- ai_risks_subset
- ai_subset
from_schema: https://w3id.org/lmodel/dpv/ai
aliases:
- Model Bias
exact_mappings:
- dpv_ai:ModelBias
- dpv_ai_owl:ModelBias
is_a: EngineeringDecisionBias
class_uri: ai:ModelBias

Induced

name: ModelBias
annotations:
  dct_source:
    tag: dct_source
    value: ISO/IEC 24027:2021
  upstream_iri:
    tag: upstream_iri
    value: https://w3id.org/dpv/ai/owl#ModelBias
  dpv_extension_slug:
    tag: dpv_extension_slug
    value: ai
description: 'Bias that occurs when ML uses functions like a maximum likelihood

  estimator to determine parameters, and there is data skew or

  under-representation present in the data, where the maximum likelihood

  estimation tends to amplify any underlying bias in the distribution'
in_subset:
- ai_risks_subset
- ai_subset
from_schema: https://w3id.org/lmodel/dpv/ai
aliases:
- Model Bias
exact_mappings:
- dpv_ai:ModelBias
- dpv_ai_owl:ModelBias
is_a: EngineeringDecisionBias
class_uri: ai:ModelBias