Datasets:
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"field_id": "F017",
"field": "algorithmic fairness",
"directions": [
{
"direction_id": "G0",
"name": "Fairness requirements and measurement validity",
"scope": "Determine which fairness goals are justified in context, and examine the validity of the measures, group attributes, and interpretations used to express disparities or social bias."
},
{
"direction_id": "G1",
"name": "Detection, diagnosis and assurance of unfair behavior",
"scope": "Determine whether a system exhibits unfair behavior, who is affected, and why disparities arise, providing verifiable fairness conclusions or ongoing monitoring results when needed."
},
{
"direction_id": "G2",
"name": "Representational fairness of generated content",
"scope": "Identify demographic stereotypes and bias in generated language, images, or multimodal content, and change the generation process or its outputs to reduce them."
},
{
"direction_id": "G3",
"name": "Fair predictive learning and deployment",
"scope": "Develop, adjust, or test models and their learning foundations for fair prediction, so that required group, individual, causal, or calibration properties are satisfied or maintained under the relevant data conditions."
},
{
"direction_id": "G4",
"name": "Fair distribution of positions, membership and actions",
"scope": "Fairly allocate valuable positions, eligibility for selection or grouping, and actions and limited resources in sequential decisions, while accounting for utility or relevance."
},
{
"direction_id": "G5",
"name": "Fairness under decision-induced feedback",
"scope": "Study or control long-term group disparities that arise when deployed decisions change future outcomes, observable labels, or participation."
},
{
"direction_id": "G6",
"name": "Privacy-compatible fairness",
"scope": "Characterize and address the constraints between privacy guarantees, risks of disclosing sensitive attributes, and fairness goals when learning or auditing for fairness."
},
{
"direction_id": "G7",
"name": "Evaluation and operationalization of fairness interventions",
"scope": "Develop evidence, evaluation procedures, and organizational support for choosing and using fairness interventions in practice, enabling fairness work to move from comparing methods to sustained practice."
}
]
}
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