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Submission to the Toronto Police Services Board’s Use of New Artificial Intelligence Technologies Policy - LEAF and The Citizen Lab

Resource type
Authors/contributors
Title
Submission to the Toronto Police Services Board’s Use of New Artificial Intelligence Technologies Policy - LEAF and The Citizen Lab
Abstract
We write as a group of experts in the legal regulation of artificial intelligence (AI), technology-facilitated violence, equality, and the use of AI systems by law enforcement in Canada. We have experience working within academia and legal practice, and are affiliated with LEAF and the Citizen Lab who support this letter. We reviewed the Toronto Police Services Board Use of New Artificial Intelligence Technologies Policy and provide comments and recommendations focused on the following key observations: 1. Police use of AI technologies must not be seen as inevitable2. A commitment to protecting equality and human rights must be integrated more thoroughly throughout the TPSB policy and its AI analysis procedures3. Inequality is embedded in AI as a system in ways that cannot be mitigated through a policy only dealing with use 4. Having more accurate AI systems does not mitigate inequality5. The TPS must not engage in unnecessary or disproportionate mass collection and analysis of data6. TPSB’s AI policy should provide concrete guidance on the proactive identification and classification of risk7. TPSB’s AI policy must ensure expertise in independent vetting, risk analysis, and human rights impact analysis8. The TPSB should be aware of assessment challenges that can arise when an AI system is developed by a private enterprise9. The TPSB must apply the draft policy to all existing AI technologies that are used by, or presently accessible to, the Toronto Police ServiceIn light of these key observations, we have made 33 specific recommendations for amendments to the draft policy.
Genre
SSRN Scholarly Paper
Archive ID
3989271
Place
Rochester, NY
Date
2021-12-15
Accessed
8/1/24, 7:25 PM
Language
en
Library Catalog
Social Science Research Network
Citation
Thomasen, K., Dunn, S., Robertson, K., Hrick, P., Khoo, C., Kim, R., Okidegbe, N., & Parsons, C. A. (2021). Submission to the Toronto Police Services Board’s Use of New Artificial Intelligence Technologies Policy - LEAF and The Citizen Lab (SSRN Scholarly Paper No. 3989271). https://doi.org/10.2139/ssrn.3989271
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