Affiliation:
1. University of Ontario Institute of Technology, Canada
Abstract
In the face of rapid technological development of investigative technologies, broader and more meaningful public engagement in policy-making is paramount. In this article, we identify police procurement and use of facial recognition technology (FRT) as a key example of the need for public input to avoid undermining trust in law enforcement. Specifically, public engagement should be incorporated into police decisions regarding the acquisition, use, and assessment of the effectiveness of FRT, via an oversight framework that incorporates citizen stakeholders. Genuine public engagement requires sufficient and accurate information to be openly available at the outset, and the public must be able to dialogue and discuss their perspectives and ideas with others. The approach outlined in this article could serve as a model for addressing policy development barriers that often arise in relation to privacy invasive technologies and their uses by police.
Reference88 articles.
1. Allyn B (2020) ‘The computer got it wrong’: How facial recognition led to false arrest of Black man. NPR, 24 June. Available at: https://www.npr.org/2020/06/24/882683463/the-computer-got-it-wrong-how-facial-recognition-led-to-a-false-arrest-in-michig (accessed 10 July 2021).
2. Collaborative Governance in Theory and Practice
3. Recent advances in facial soft biometrics
4. Public Engagement, Local Policies, and Citizens’ Participation: An Italian Case Study of Civic Collaboration
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献