mailitics

Category: cs.CY

  • Performative Validity of Recourse Explanations

    Performative Validity of Recourse Explanations arXiv:2506.15366v1 Announce Type: new Abstract: When applicants get rejected by an algorithmic decision system, recourse explanations provide actionable suggestions for how to change their input features to get a positive evaluation. A crucial yet overlooked phenomenon is that recourse explanations are performative: When many applicants act according to their recommendations,…

  • Discrimination-free Insurance Pricing with Privatized Sensitive Attributes

    Discrimination-free Insurance Pricing with Privatized Sensitive Attributes arXiv:2504.11775v1 Announce Type: new Abstract: Fairness has emerged as a critical consideration in the landscape of machine learning algorithms, particularly as AI continues to transform decision-making across societal domains. To ensure that these algorithms are free from bias and do not discriminate against individuals based on sensitive attributes…

  • Formalising Anti-Discrimination Law in Automated Decision Systems

    Formalising Anti-Discrimination Law in Automated Decision Systems arXiv:2407.00400v2 Announce Type: cross Abstract: Algorithmic discrimination is a critical concern as machine learning models are used in high-stakes decision-making in legally protected contexts. Although substantial research on algorithmic bias and discrimination has led to the development of fairness metrics, several critical legal issues remain unaddressed in practice.…

  • Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing

    Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing arXiv:2501.06366v1 Announce Type: new Abstract: When applied in healthcare, reinforcement learning (RL) seeks to dynamically match the right interventions to subjects to maximize population benefit. However, the learned policy may disproportionately allocate efficacious actions to one subpopulation, creating or exacerbating disparities in other socioeconomically-disadvantaged subgroups. These biases…