Building Trust – The People’s Panel for AI

Keeley A. Crockett, A. Latham, Melissa Wood, Luke Abberley, M. Rawsthorne, Sam Attwood
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Abstract

This paper describes The People’s Panel for AI – a mechanism to build public trust in AI products and services from conceptualization to deployment. To increase public awareness of how AI and data-driven systems are affecting the lives of ordinary people, a series of Artificial Intelligence Roadshows were delivered in community centers. Community members were recruited to the People’s Panel and completed two days of training about key aspects of data, AI and ethics, including learning a technique for exploring ethical aspects of new technologies (consequence scanning). As part of a pilot study, four People’s Panel sessions were held where tech businesses and researchers pitched their ideas and discussed questions and concerns of the panel members. Through participating in the panel, panel members reported an increase in confidence in being able to question businesses and businesses heard a diverse stakeholder voice on the ethical impacts of their products / services, leading to change.
建立信任-人工智能的人民小组
本文描述了人工智能人民小组——一种从概念到部署建立公众对人工智能产品和服务信任的机制。为了提高公众对人工智能和数据驱动系统如何影响普通人生活的认识,在社区中心进行了一系列人工智能路演。社区成员被招募到人民小组,并完成了为期两天的关于数据、人工智能和伦理关键方面的培训,包括学习一种探索新技术伦理方面的技术(后果扫描)。作为试点研究的一部分,举行了四次人民小组会议,科技企业和研究人员在会上提出自己的想法,讨论小组成员的问题和关切。通过参与该小组,小组成员报告说,他们对能够质疑企业的信心有所增加,企业也听到了不同利益相关者对其产品/服务的道德影响的声音,从而导致了变革。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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