| { |
| "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." |
| } |
| ] |
| } |
|
|
