Building Trust The People's Panel for AI

被引:0
|
作者
Crockett, Keeley [1 ]
Latham, Annabel [1 ]
Wood, Melissa [2 ]
Abberley, Luke [3 ]
Rawsthorne, Mat [4 ]
Attwood, Sam [5 ]
机构
[1] Manchester Metropolitan Univ, Dept Comp & Math, Manchester, England
[2] HD Labs, Stockport, England
[3] Synect Solut Ltd, Stoke On Trent, Staffs, England
[4] HD Labs, Res, Stockport, England
[5] Univ Cent Lancashire, Sch Physchol & Comp Sci, Preston, England
来源
2023 IEEE CONFERENCE ON ARTIFICIAL INTELLIGENCE, CAI | 2023年
关键词
Trustworthy Al; Citizen engagement; consequence scanning;
D O I
10.1109/CAI54212.2023.00080
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes The People's Panel for Al a mechanism to build public trust in Al products and services from conceptualization to deployment. To increase public awareness of how Al 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, Al 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.
引用
收藏
页码:168 / 170
页数:3
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