Changes

*[[:en:images/6/6b/CRI_Regulators'_Experimentation_Toolkit.pdf|Regulators’ Experimentation Toolkit]]

*[[:en:images/6/6b/CRI_Regulators'_Experimentation_Toolkit.pdf|Regulators’ Experimentation Toolkit]]

*<u>[https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fwiki.gccollab.ca%2Fimages%2Fc%2Fc2%2FExpression_of_Interest_%2528EOI%2529_Template.docx&wdOrigin=BROWSELINK Expression of Interest (EOI) Template]</u>

*[https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fwiki.gccollab.ca%2Fimages%2Fc%2Fc2%2FExpression_of_Interest_%2528EOI%2529_Template.docx&wdOrigin=BROWSELINK Expression of Interest (EOI) Template]

*<u>[https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fwiki.gccollab.ca%2Fimages%2Fa%2Fa6%2FProposal_Template.docx&wdOrigin=BROWSELINK Proposal Template]</u>

*<u>[https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fwiki.gccollab.ca%2Fimages%2Fa%2Fa6%2FProposal_Template.docx&wdOrigin=BROWSELINK Proposal Template]</u>

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|Innovation Science and Economic Development (ISED) –  Standards Council of Canada (SCC)

|Innovation Science and Economic Development (ISED) –  Standards Council of Canada (SCC)

| Piloting an Accreditation Program for the Assessment  of Artificial Intelligence Management Systems (AIMS)

|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 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.

|This is a follow up to previous experiment to test a  new QR code prototype with pilots of an air operator within Canada for  effectiveness. The sandbox experiment will test if the digital solution  lowers the cost of compliance and improve compliance with respect to air  operators’ obligation to track employee compliance with licensing  requirements.

|This is a follow up to previous experiment to test a  new QR code prototype with pilots of an air operator within Canada for  effectiveness. The sandbox experiment will test if the digital solution  lowers the cost of compliance and improve compliance with respect to air  operators’ obligation to track employee compliance with licensing  requirements.

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|Health Canada (HC)

| Health Canada (HC)

|Machine Learning Enabled Medical Device (MLMD)  Sandbox Development

| 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.

|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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