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== '''Overview''' ==
 
== '''Overview''' ==
Treasury Board of Canada Secretariat (TBS) is completing the third review of the directive. The review takes stock of the current state of the directive and identifies risks and challenges to the government’s commitment to responsible artificial intelligence (AI) in the federal public sector. These issues highlight critical gaps that limit the directive’s relevance and effectiveness in supporting transparency, accountability, and fairness in automated decision-making. They also identify problems with terminology, feasibility, and coherence with other federal policy instruments.
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Treasury Board of Canada Secretariat (TBS) is completing the third review of the [https://www.tbs-sct.canada.ca/pol/doc-eng.aspx?id=32592 Directive on Automated Decision-Making]. The review takes stock of the current state of the directive and identifies risks and challenges to the government’s commitment to responsible artificial intelligence (AI) in the federal public sector. These issues highlight critical gaps that limit the directive’s relevance and effectiveness in supporting transparency, accountability, and fairness in automated decision-making. They also identify problems with terminology, feasibility, and coherence with other federal policy instruments.
    
As part of the third review, TBS is proposing a series of policy recommendations and accompanying amendments to the directive. The recommendations would help ensure that automated decision systems impacting federal public servants are fair and inclusive; reinforce transparency and accountability; strengthen protections against discrimination and harm; and clarify requirements and support operational needs.
 
As part of the third review, TBS is proposing a series of policy recommendations and accompanying amendments to the directive. The recommendations would help ensure that automated decision systems impacting federal public servants are fair and inclusive; reinforce transparency and accountability; strengthen protections against discrimination and harm; and clarify requirements and support operational needs.
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