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Towards a Responsible AI Framework for the Design of Automated Decision Systems in DFO: a Case Study of Bias Detection and Mitigation (view source)
Revision as of 11:49, 23 December 2022
, 11:49, 23 December 2022no edit summary
* Fairness
* Fairness
* Explainability
* Explainability
Each theme covers a set of high-level guidelines defining the goals set out by the framework. These guidelines are supported by concrete processes which provide the specific guidance required to achieve the goals in practice. To support the guidelines set up under the responsible AI theme of Fairness, we have developed a process for the detection and mitigation of bias in machine learning models.
Each theme covers a set of high-level guidelines defining the goals set out by the framework. These guidelines are supported by concrete processes which provide the specific guidance required to achieve the goals in practice. To support the guidelines set up under the responsible AI theme of Fairness, we have developed a process for the detection and mitigation of bias in machine learning models.
