---
title: "Canada — Algorithmic, Biometric &amp; Surveillance Governance | Data Protection Monitor"
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# Canada — Algorithmic, Biometric &amp; Surveillance Governance | Data Protection Monitor

### D8Algorithmic, Biometric & Surveillance Governance1 sub-module1 claimNot assessed&#9662;#

No standing position recorded for this category.

#### Sub-modules (1)

#### Ai Risk AssessmentsNot assessed

No narrative recorded for this sub-module.

Claims (1):

- Artificial Intelligence and Data Act (AIDA) has no successor: AIDA, the AI-governance component of the former Bill C-27, has no legislative successor: Bill C-36 (PPCDA), introduced 15 June 2026, addresses only privacy and consumer data, not AI regulation.

Category narrative 274 words

#### Algorithmic, Biometric & Surveillance Governance

The Artificial Intelligence and Data Act, the AI-governance component of the former Bill C-27, has no legislative successor. Bill C-36, the Protecting Privacy and Consumer Data Act, introduced 15 June 2026, addresses only privacy and consumer-data matters, not AI regulation. This is a negative finding of direct significance: Canada currently has no dedicated federal AI-governance statute moving through the legislative process, a materially different position from the one that existed while AIDA was bundled into Bill C-27 prior to the January 2025 prorogation.

In the continued absence of dedicated AI-governance legislation, AI-adjacent personal-information practices in Canada are understood to be addressed through existing general-purpose privacy law. The joint OPC/CAI/BC/Alberta investigation into OpenAI&#x27;s ChatGPT service, applying PIPEDA&#x27;s section 5(3) appropriate-purposes test and finding a consent deficiency, illustrates this: Canadian privacy regulators are applying established PIPEDA tools to AI-system data practices rather than waiting for dedicated AI legislation that currently has no clear path forward.

This gap is understood to leave algorithmic accountability, biometric processing, and automated-decision-making oversight in Canada dependent on the general adequacy of PIPEDA&#x27;s existing principles for these more specialised contexts, a dependency that commentary suggests may become more strained as AI systems&#x27; scale and complexity increase, though no specific statutory gap beyond the absence of a dedicated AI statute has been identified this cycle.

#### Outlook

Whether any future legislative vehicle for AI-specific governance will be introduced, and on what timeline, is not established. For the foreseeable period, AI-adjacent personal-information practices in Canada are understood to remain governed through the application of general PIPEDA principles, as demonstrated by the joint OpenAI/ChatGPT investigation, rather than through dedicated algorithmic-governance statute.

Read full narrative &middot; 274 words Periodic update &middot; new data 2026-10-18

#### Algorithmic, Biometric & Surveillance Governance

The Office of the Privacy Commissioner of Canada, together with Quebec&#x27;s Commission d&#x27;acces a l&#x27;information and the privacy regulators of British Columbia and Alberta, published a joint finding on May 6, 2026 concerning OpenAI OpCo, LLC. The finding, published as PIPEDA Findings number 2026-002, concluded that the manner in which OpenAI initially collected personal information from publicly accessible websites and licensed third-party sources to train its models was overbroad and therefore inappropriate, given the scale, nature and sensitivity of the data collected and used. This is a Confirmed, in-force finding from Canada&#x27;s primary federal privacy regulator acting jointly with three provincial counterparts, representing one of the more significant AI-training-data enforcement actions issued by a Canadian privacy authority to date.

The joint and multi-regulator nature of the finding is itself notable: it reflects coordinated action across the federal regulator and three provincial regulators with their own independent statutory mandates, rather than a single regulator acting alone, suggesting a degree of cross-jurisdictional alignment on how AI-training-data collection practices should be assessed under Canada&#x27;s various privacy statutes.

This enforcement activity occurs against the backdrop of Canada&#x27;s continued absence of an enacted, federal AI-specific statute. Bill C-27, which would have enacted the Artificial Intelligence and Data Act, spent over two years in committee review and never reached a final vote, dying when the bill did not survive prorogation. Canada&#x27;s AI-related privacy enforcement, including the OpenAI finding, therefore currently proceeds entirely under existing general-purpose privacy statutes, PIPEDA at the federal level and Law 25 and equivalent provincial statutes, rather than under any AI-specific legal framework, since no enacted replacement for the Artificial Intelligence and Data Act exists as at this cycle.

#### Outlook

Whether the joint OpenAI finding&#x27;s overbroad-collection standard becomes a template applied to other AI-training-data investigations by Canadian privacy regulators, and whether any federal AI-specific statute re-emerges following Bill C-27&#x27;s failure to pass, both remain open questions not resolved by this cycle&#x27;s material.

1 earlier distinct update(s) Periodic update &middot; new data 2026-10-11

#### Algorithmic, Biometric & Surveillance Governance

The Artificial Intelligence and Data Act is confirmed dead rather than merely paused: it died along with the remainder of Bill C-27 at prorogation on 5 and 6 January 2025 and has not been reintroduced in any form. Bill C-36, Canada&#x27;s current federal privacy-reform vehicle, does not revive a standalone AI statute; instead, it confines AI-adjacent oversight to automated-decision-making transparency provisions within the proposed successor privacy law. This means Canada&#x27;s algorithmic-governance landscape, for the foreseeable term, will be shaped through general privacy legislation&#x27;s automated-decision-making transparency requirements rather than through dedicated AI-specific rules, a materially narrower scope than AIDA would have provided.

#### Outlook

Whether Bill C-36&#x27;s automated-decision-making transparency provisions prove adequate to the governance gap AIDA&#x27;s death leaves behind will likely become clearer only once the bill progresses beyond first reading and its specific transparency obligations are tested against real automated-decision-making deployments.

Evidence 1

Sources and claims (1)
- Probableunavailable &mdash; Artificial Intelligence and Data Act (AIDA) has no successor: AIDA, the AI-governance component of the former Bill C-27, has no legislative successor: Bill C-36 (PPCDA), introduced 15 June 2026, addresses only privacy and consumer data, not AI regulation.
