Transparency and Accountability
Examinations of transparency and accountability mechanisms relevant to the relationship between corporations and state agencies regarding personal data and other surveillance activities.
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In this submission, we urge the TPSB to centre precaution, substantive equality, human rights, privacy protections, transparency, and accountability in its policy on the use of AI technology by the Toronto Police Services (TPS).
Algorithmic policing technologies, including facial recognition, have arrived or are coming to Canadian cities and provinces, and they are doing so quickly. We have identified a number of significant policy, practice, and legal deficits related to the use of algorithmic policing technologies in Canada, including imminent or foreseeable impacts to human rights and fundamental freedoms including the rights to privacy, liberty, and equality, expressive and associational freedoms, and others.
Citizen Lab researchers reviewed the consultation materials, including the “Technical Paper” and the “Discussion Guide” associated with the government’s proposal to address what it has referred to as “online harms.” We provide the following comments in response to that consultation process.
On September 28, the Citizen Lab published an analysis of COVID-19 data collection practices. In this post, we discuss the significance of the findings with report authors.
Given our experiences, we have specific recommendations for how any federal commercial privacy legislation must be amended to better protect individuals from the predations and power of private organizations. In making our recommendations we have chosen to focus almost exclusively on the Openness and Transparency, Access to and Amendment of Personal Information, and Whistleblower sections of Bill C-11.