376
edits
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Regulatory Experimentation Expense Fund (view source)
Revision as of 16:30, 6 December 2022
, 16:30, 6 December 2022Added TC E-licensing and HC MLMD to project list
The SCC is also looking to gather information on whether the AIMS could have an impact on the level of risk of AI products to inform potential use of AIMS for regulators.
The SCC is also looking to gather information on whether the AIMS could have an impact on the level of risk of AI products to inform potential use of AIMS for regulators.
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|Transport Canada (TC)
|Aviation E-Licensing Pilot
|Transport Canada is taking steps to digitize the licence for aviation staff (pilots and air traffic controllers). The purpose of the experiment consists of testing a prototype digital solution using a QR code with Nav Canada air traffic controllers from the Ottawa and Montreal airports. The test seeks to validate whether the prototype would allow air traffic controllers to demonstrate their compliance with the regulations and whether the prototype would be an improvement over the current paper-based system. This information will help TC select what technology to use for their e-licensing scheme.
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|Health Canada (HC)
|Machine Learning Enabled Medical Device (MLMD) Sandbox Development
|Health Canada is developing a sandbox to test new regulatory approach for MLMDs. Currently, MLMD can be marketed in Canada if the device algorithm behaviour is locked to remain the same overtime as what was presented in the product’s market authorization application. Any change to the algorithm behaviour requires the submission of an amendment to the licence. Health Canada wants to test a new regulatory approach that would use a different method of risk management than requiring a licence amendment so that the device can change its behaviour over time as it learns from new data it acquires over time. The current project scope is limited to accessing the legislative authorities to establish the sandbox and developing the sandbox application scheme.
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