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Regulatory Experimentation Expense Fund (view source)
Revision as of 14:58, 25 May 2023
, 14:58, 25 May 2023no edit summary
*determine whether an experiment would be the right approach (NEW)
*determine whether an experiment would be the right approach (NEW)
*develop a regulatory experiment (NEW)
*develop a regulatory experiment (NEW)
A list of REEF supported experiments and their associated Experimentation Reports can be found in the [[CRI Supported Projects|CRI Supported Project tab]]. A list of experiments that are currently underway can be found at the bottom of this page.
<span style="color: #1F402B"><big>'''Contact us'''</big></span> <br>
<span style="color: #1F402B"><big>'''Contact us'''</big></span> <br>
For additional information about this funding opportunity, including any assistance required to complete the application process, please contact the [mailto:cri-cir@tbs-sct.gc.ca?Subject=Regulatory%20Experimentation%20Expense%20Fund%20Enquiry&body=%20 <u>Centre for Regulatory Innovation</u>].
For additional information about this funding opportunity, including any assistance required to complete the application process, please contact the [mailto:cri-cir@tbs-sct.gc.ca?Subject=Regulatory%20Experimentation%20Expense%20Fund%20Enquiry&body=%20 <u>Centre for Regulatory Innovation</u>].
===Regulatory Experimentation Expense Fund Ongoing Experiments===
{| class="wikitable" border="1"
|+Experiments selected to receive funding under the Regulatory Experimentation Expense Fund
|-
!Department/ Agency
!Project Title
!Project Description
|- bgcolor="#ffdead"
|Environment and Climate Change Canada (ECCC)
|Using Experimentation in National Stakeholder Engagement to Advance Supply Chain Transparency (SCT) for Chemicals In Products
|The experiment as proposed by ECCC involves using a policy lab approach to engage Canadian stakeholders in co-developing new solutions to enhance supply chain transparency (SCT) for chemicals, in addition to developing recommendations for consumer labelling. Using a policy lab model is a novel approach for ECCC and the experiment is to test whether this approach can enhance the policy outcomes in the context of a complex issue affecting a regulatory program and implicating many industries and stakeholders.
|-
|Transport Canada (TC)
|Light Sport Aircraft
|This experiment as proposed by TC involves setting up a sandbox to determine if Light Sport Aircraft, with appropriate conditions, are as reliable as other aircraft currently being used for the purpose of flight training and if the quality of training is as good, or better, than other aircraft currently used for pilot training. The experiment will also inform Transport Canada on potential additional conditions/measures that should be included in future exemptions or regulatory amendments.
|- bgcolor="#ffdead"
|Innovation Science and Economic Development (ISED) – Standards Council of Canada (SCC)
|Piloting an Accreditation Program for the Assessment of Artificial Intelligence Management Systems (AIMS)
|The purpose of this experiment is to pilot a prototype accreditation program to understand whether the main SCC Requirements and Guidance document that works in conjunction with ISO/IEC 17021-1:2015 Conformity assessment is clear and appropriate and obtain feedback from the certification bodies and Artificial Intelligence (AI) companies about the program. This information is necessary to improve and refine the prototype.
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.
|-
|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.
|- bgcolor="#ffdead"
|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.
|}