User Centred Design Approach to Designing and Evaluating Fair Unbiased AI-Driven Models in Socio-Technical Decision Support Systems.

该项目研究人工智能技术设计如何发展，以确保社会技术系统中的公平决策支持，特别是没有偏见。该项目将采用混合方法，以减少可能造成的伤害。它将使利益攸关方参与以用户为中心的设计过程，为采用无偏见算法建立可行的定义和验收标准。通过焦点小组，原型设计和测试用户将讨论和设计消除AI算法偏见的有效性。这项帝国工作将增加关于进一步整合社会科学理论的论述，如平等主义公平和个人正义，以在人工智能驱动的社会技术决策系统中实现个人和群体公平的形式化。该工作将采用负责任的研究和创新（RRI）的原则，候选人将与Orbit一起参加关于RRI基本要素的培训课程，包括介绍区域框架

This project examines how Artificial Intelligence technology design can evolve to ensure fair decision support in socio-technical systems, specifically free from bias. This project will adopt a mixed methods approach to reducing the potential for harm caused. It will engage stakeholders in a user-centred design process establishing a workable definition and acceptance criteria for adoption of a non-bias algorithm. Through focus groups, prototyping and testing users will debate and design the effectiveness of the removal of bias from AI algorithms. This imperial work will add to the discourse on further integration of social science theories such as egalitarian fairness and individual justice in the formalisation of individual and group fairness in AIdriven socio-technical decision making systems. The work will adopt principles of responsible research and innovation (RRI), the candidate will undertake a training course with Orbit on foundational elements of RRI including an introduction to the AREA Framework