"Ethical Review to Support Responsible AI in Policing - A Preliminary Study of West Midlands Police's Specialist Data Ethics Review Committee "

“支持警务中负责任的人工智能的道德审查——西米德兰兹郡警察专家数据道德审查委员会的初步研究”

• 批准号: AH/Z505626/1
• 负责人: Marion Oswald
• 金额: $ 29.95万
• 依托单位: Northumbria University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=AH%2FZ505626%2F1
• 关键词: Ethical; Review; Support; Responsible; AI

The deployment of AI and emerging technologies by the police, while promising more effective use of data for the prevention and detection of crime, brings with it considerable threats of disproportionality and interference with fundamental rights. The West Midlands Police and Crime Commissioner and West Midlands Police data ethics committee aims to bridge the gap between ethical reflection, scientific rigour and a focus on human rights, thus contributing to responsible AI in policing. Democratic legitimacy and public trust around West Midlands Police's use of AI is partly dependent on the ethics governance in place and the public assurances that are made. To avoid any risks of undermining legitimacy and public trust, research can help us understand if the role of the committee is delivering on the assurances being given, as we set out below.This project brings together a diverse team of researchers in Law, Computer Science, Social Innovation, and Policing, with extensive experience of theory and practice of real-world ethical approaches in sensitive contexts. The partnership with West Midlands Police and Crime Commissioner (WMPCC) presents a unique opportunity to analyse operationalisation of AI tools in policing, and the impacts of advice from its data ethics committee. A specific focus is on effects on human rights of marginalised groups, and on deploying an intersectional lens to investigate the impacts of policing AI. The project is designed to address six specific research challenges via four work packages. We will investigate the influence of the data ethics committee upon technology design, identification of human rights concerns and the incorporation of the interests of marginalised groups. We will consider the potential of other frameworks to improve the process, and the challenges that could shape future research. Our methodology will Review, Observe, Understand and Communicate. The outcomes will not only reveal currently unknown and unqualified practices, but will employ state of art analytical methods and thus serve as a valuable test of their fitness to purpose. The project does not address ethics in the abstract, but is grounded in the real challenges of real applications of AI tools in policing. We will focus not only on outcomes but also on processes which may generate trust or fairness by exercising and displaying good governance, and by continually looking, learning, changing and improving.A key output will be an evidence-based typology, which will have wide-ranging implications across policing. Dissemination of all results across the whole policing ecosystem will be possible through the diverse research networks of the project team, which include regulatory bodies.Our team is experienced in integrated interdisciplinary research. We combine the expertise in law, computer science, criminal justice, social innovation and participatory methodology needed to ensure that the research is robust, insightful and impactful. This project is deliberately ambitious and will prepare the groundwork for a full demonstrator project on responsible AI in policing and sensitive contexts.

警方部署人工智能和新兴技术，虽然承诺更有效地利用数据来预防和侦查犯罪，但也带来了相当大的不成比例和干扰基本权利的威胁。西米德兰兹警察和犯罪专员以及西米德兰兹警察数据道德委员会旨在弥合道德反思、科学严谨性和对人权的关注之间的差距，从而为警务领域的负责任的人工智能做出贡献。西米德兰兹郡警察使用人工智能的民主合法性和公众信任部分取决于现有的道德治理和做出的公共保证。为了避免破坏合法性和公众信任的任何风险，研究可以帮助我们了解委员会的作用是否兑现了所提供的保证，如下所述。该项目汇集了法律、计算机科学领域的多元化研究人员团队、社会创新和警务，在敏感背景下的现实世界道德方法的理论和实践方面拥有丰富的经验。与西米德兰兹警察和犯罪专员 (WMPCC) 的合作提供了一个独特的机会来分析人工智能工具在警务中的运作以及其数据伦理委员会建议的影响。具体重点是对边缘群体人权的影响，以及部署交叉镜头来调查人工智能警务的影响。该项目旨在通过四个工作包解决六个具体的研究挑战。我们将调查数据伦理委员会对技术设计、人权问题识别以及边缘群体利益纳入的影响。我们将考虑其他框架改进流程的潜力，以及可能影响未来研究的挑战。我们的方法论将回顾、观察、理解和沟通。结果不仅将揭示当前未知和不合格的做法，而且将采用最先进的分析方法，从而作为其是否符合目的的有价值的测试。该项目并不抽象地讨论道德问题，而是立足于人工智能工具在警务中实际应用的实际挑战。我们不仅关注结果，而且关注通过实施和展示良好治理以及不断观察、学习、改变和改进而可能产生信任或公平的过程。一个关键的产出将是基于证据的类型学，它将具有广泛的内容。 -对整个警务工作的广泛影响。通过项目团队的多元化研究网络（包括监管机构），可以在整个警务生态系统中传播所有结果。我们的团队在综合跨学科研究方面拥有丰富的经验。我们结合了法律、计算机科学、刑事司法、社会创新和参与性方法方面的专业知识，以确保研究稳健、富有洞察力和影响力。该项目雄心勃勃，将为警务和敏感环境中负责任的人工智能的完整示范项目奠定基础。