Policing Sex Work Online: Sex Workers’ Views on the Risks and Benefits of Using AI to Police Online Ads for Sexual Services
Resource type
Author/contributor
- Brown, Sydney (Author)
Title
Policing Sex Work Online: Sex Workers’ Views on the Risks and Benefits of Using AI to Police Online Ads for Sexual Services
Abstract
This thesis explored the potential use of artificial intelligence (AI)-based policing models in law enforcement anti-trafficking initiatives and examined potential impacts of expanding state surveillance through police use of AI-based policing models. Computer scientists aspire to develop AI to identify victims of trafficking through websites that host ads for sexual services. Little research has explored sex workers’ views on the proposed AI-based policing models and their likely impacts. To fill this gap, I conducted 21 semistructured interviews with sex workers, academics, and members of sex worker rights
organizations to discuss the effects of AI-based policing models. Participants expressed concern that these models will continue a long history of anti-trafficking initiatives causing harm, particularly against racialized, migrant, and transgender sex workers. Findings also suggest developers should be cautious about creating AI-based policing models without input of sex workers and without a firm knowledge base of the sex industry.
Type
M.A., Criminology
University
Simon Fraser University
Place
Vancouver
Date
2024
# of Pages
xi, 140 pages
Language
English
Citation
Brown, S. (2024). Policing Sex Work Online: Sex Workers’ Views on the Risks and Benefits of Using AI to Police Online Ads for Sexual Services [M.A., Criminology, Simon Fraser University]. https://theses.lib.sfu.ca/file/thesis/etd23627-sydney-brown-thesis-sydneybrown-f.pdf
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