Fairness aware data mining for discrimination free decision-making

公平意识数据挖掘以实现无歧视决策

• 批准号: DP200101210
• 负责人: Prof Jiuyong Li
• 金额: $ 25.28万
• 依托单位: University of South Australia
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-12-18 至 2024-12-17
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200101210
• 关键词: Fairness; aware; data; mining; discrimination

This project aims to develop data mining methods to detect algorithmic discriminations and to build fair decision models. It expects to provide techniques for regulatory organisations to detect discriminations in algorithmic decisions, and for various companies and organisations to build fair decision systems. Expected outcomes are novel and accurate methods for discrimination detection, practical and versatile techniques for fair decision model building, and improved understanding of the relationships between privacy preservation and discrimination prevention to enable new techniques to achieve both goals. The developed techniques enable society to tackle ethical challenges in the big data era where many decisions are analytics based.

该项目旨在开发数据挖掘方法，以检测算法歧视并建立公平的决策模型。它希望为监管机构提供技术，以检测算法决策中的歧视，并为各种公司和组织建立公平的决策系统。预期的成果是新的和准确的歧视检测方法，实用和通用的技术，公平决策模型的建设，并提高对隐私保护和歧视预防之间的关系的理解，使新技术，以实现这两个目标。开发的技术使社会能够应对大数据时代的道德挑战，其中许多决策都是基于分析的。