Difference between revisions of "Treasury Board Directive on Automated Decision Making"

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(Updated to include background, policy guidance, resources and the RDAI email)
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The Government of Canada is increasingly looking to utilize technology and automated systems to make, or assist in making, administrative decisions to improve service delivery. It is committed to doing so in a manner that is compatible with core administrative law principles such as transparency, accountability, legality and procedural fairness. The proposed ''Treasury Board Directive on Automated Decision-Making'' is being developed to provide federal departments and agencies with guidance on how to responsibly deploy automated decision systems.
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La version française est disponible ici 
  
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Systems are classified into four levels of impact. To ensure that governance of these systems is sensible, requirements of the Directive scale to the level of impact.
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== Background ==
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The [https://www.tbs-sct.canada.ca/pol/doc-eng.aspx?id=32592 Directive on Automated Decision-Making] (directive) sets requirements for federal institutions to ensure that the use of AI or other automated systems in making or supporting administrative decision-making is compatible with the core principles of administrative law such as transparency, accountability, legality and procedural fairness. The Directive is supported by the [https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/responsible-use-ai/algorithmic-impact-assessment.html Algorithmic Impact Assessment Tool,] an online questionnaire which helps departments understand and manage the risks associated with automated decision systems.  
  
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It will be supported by an Algorithmic Impact Assessment tool, an interactive questionnaire designed to help departments identify their impact level.
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The directive came into effect in April 2019 and applies to systems developed or procured after April 2020.  
  
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[[:File:Treasury Board Directive on Automated Decision Making.pdf|You may find the latest version of the Directive here]].
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== Guidance ==
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Treasury Board of Canada Secretariat (TBS) has developed guidance to support compliance with the directive:
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* Peer review – to support departments commissioning a review and individuals undertaking the review
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* Section 4.5 of the [[/www.canada.ca/en/government/system/digital-government/guideline-service-digital.html#ToC4%205|Guideline on Service and Digital]] provides additional guidance on the responsible and ethical use of automated decision systems
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== Resources ==
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* [https://www.tbs-sct.canada.ca/pol/doc-eng.aspx?id=32603 Policy on Service and Digital]
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* [https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/responsible-use-ai.html Responsible use of artificial intelligence (AI)]
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* [[/wiki.gccollab.ca/Third Review of the Directive on Automated Decision-Making|Third Review of the Directive on Automated Decision-Making]]
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* [[/wiki.gccollab.ca/File:Treasury Board Directive on Automated Decision Making.pdf|Draft 1.0 of the Directive on Automated Decision-Making]] (2018)
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== Enquiries ==
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Please contact the TBS Responsible Data and AI team ([[Mailto:ai-ia@tbs-sct.gc.ca|ai-ia@tbs-sct.gc.ca]]) for any questions.

Revision as of 08:18, 15 May 2024

La version française est disponible ici

Background

The Directive on Automated Decision-Making (directive) sets requirements for federal institutions to ensure that the use of AI or other automated systems in making or supporting administrative decision-making is compatible with the core principles of administrative law such as transparency, accountability, legality and procedural fairness. The Directive is supported by the Algorithmic Impact Assessment Tool, an online questionnaire which helps departments understand and manage the risks associated with automated decision systems.  

The directive came into effect in April 2019 and applies to systems developed or procured after April 2020.

Guidance

Treasury Board of Canada Secretariat (TBS) has developed guidance to support compliance with the directive:

  • Peer review – to support departments commissioning a review and individuals undertaking the review
  • Section 4.5 of the Guideline on Service and Digital provides additional guidance on the responsible and ethical use of automated decision systems

Resources

Enquiries

Please contact the TBS Responsible Data and AI team ([[1]]) for any questions.

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