FinA：人-信息-物理系统决策中的不利影响公平性
FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System
AI总结：
该研究针对人-信息-物理系统决策中的公平性问题，提出考虑瞬时与长期不利影响的FinA公平概念及5种表述形式，经智能家居场景验证，其公平感知较现有最优方法平均提升66.7%。
摘要：
在人-信息-物理系统（HCPS）的决策系统中保障公平性是一项紧迫的议题，尤其是当行为与期望各不相同的个体共存于同一应用空间，且受到系统中一组共享控制动作影响时，问题更为突出。这些动作带来的长期不利影响进一步构成了挑战，因为过往的经历与交互会塑造个体对公平的感知。本文从不利影响的公平性视角切入应对这一挑战，既考虑人类行为的动态特性与不断变化的偏好，也认可不利影响的持久作用。我们在HCPS语境下正式提出了“不利影响公平性（Fairness-in-Adverse-Effects, FinA）”的概念，提出了一套包含5种表述的完整FinA定义体系，涵盖了不利影响的瞬时与长期两个维度。为通过实验验证FinA方法的有效性，我们在智能家居这一典型HCPS应用场景中开展了评估。评估结果表明，采用FinA可显著提升个体的整体公平感知，与当前最优方法相比平均提升幅度达66.7%。
英文摘要：
Ensuring fairness in decision-making systems within Human-Cyber-Physical-Systems (HCPS) is a pressing concern, particularly when diverse individuals, each with varying behaviors and expectations, coexist within the same application space, influenced by a shared set of control actions in the system. The long-term adverse effects of these actions further pose the challenge, as historical experiences and interactions shape individual perceptions of fairness. This paper addresses the challenge of fairness from an equity perspective of adverse effects, taking into account the dynamic nature of human behavior and evolving preferences while recognizing the lasting impact of adverse effects. We formally introduce the concept of Fairness-in-Adverse-Effects (FinA) within the HCPS context. We put forth a comprehensive set of five formulations for FinA, encompassing both the instantaneous and long-term aspects of adverse effects. To empirically validate the effectiveness of our FinA approach, we conducted an evaluation within the domain of smart homes, a pertinent HCPS application. The outcomes of our evaluation demonstrate that the adoption of FinA significantly enhances the overall perception of fairness among individuals, yielding an average improvement of 66.7% when compared to the state-of-the-art method.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
