
In creating VTruST, the authors propose a controllable framework for data-centric trustworthy AI, allowing users to balance trustworthiness metrics in training datasets efficiently.


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VTruST: Controllable Value Function-Based Subset Selection for Data-Centric Trustworthy AI


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提案されたVTruSTは、データ中心の信頼性の高いAI（DCTAI）フレームワークであり、異なる信頼性メトリクス間のトレードオフをユーザーが制御できるようにします。



VTruST: Controllable Value Function Based Subset Selection for Data-Centric Trustworthy AI



Proposing VTruST for controllable data-centric trustworthy AI, allowing trade-offs between trustworthiness metrics.
