Enum: BiasType

Categories of bias relevant to AI systems as discussed in Clause 5.15.9 and ISO/IEC TR 24027.

URI: iso22989:BiasType

Permissible Values

Value	Meaning	Description
data_bias	None	Bias introduced through sampling, labelling or representation of training dat...
algorithmic_bias	None	Bias introduced through model or algorithm choice and parameterisation
societal_bias	None	Bias reflecting structural inequalities in the data-generating environment
cognitive_bias	None	Bias introduced through human cognition during design, labelling or interpret...
automation_bias	None	Tendency of users to over-rely on automated outputs

Slots

Name	Description
applicable_biases	Bias categories considered relevant to this property assessment

In Subsets

• Trustworthiness

Identifier and Mapping Information

Schema Source

• from schema: https://w3id.org/lmodel/iso22989

LinkML Source

name: BiasType
description: Categories of bias relevant to AI systems as discussed in Clause 5.15.9
  and ISO/IEC TR 24027.
in_subset:
- trustworthiness
from_schema: https://w3id.org/lmodel/iso22989
close_mappings:
- nist_ai_100_1:BiasCategoryEnum
narrow_mappings:
- nist_ai_600_1:GaiRiskCategoryEnum#HARMFUL_BIAS_OR_HOMOGENIZATION
rank: 1000
permissible_values:
  data_bias:
    text: data_bias
    description: Bias introduced through sampling, labelling or representation of
      training data.
  algorithmic_bias:
    text: algorithmic_bias
    description: Bias introduced through model or algorithm choice and parameterisation.
  societal_bias:
    text: societal_bias
    description: Bias reflecting structural inequalities in the data-generating environment.
  cognitive_bias:
    text: cognitive_bias
    description: Bias introduced through human cognition during design, labelling
      or interpretation.
  automation_bias:
    text: automation_bias
    description: Tendency of users to over-rely on automated outputs.