AI is evolving rapidly and has the potential to influence how evidence is gathered, analyzed, communicated, and weighed for decision-making. This presents opportunities and challenges for organizations like the CCA that seek to inform decisions that advance the priorities of Canada and its people. Though it might help speed up some processes, enable new research approaches, or identify additional sources of expertise, AI can introduce harmful bias and raise challenges to quality, reliability, transparency, privacy, and accountability.
As an organization dedicated to delivering independent, expert-curated, and trusted knowledge to decision-makers, the CCA is proceeding deliberately and thoughtfully in our exploration of AI. Decisions made with the help of CCA expert panel reports have real impact on real people, and that is a responsibility we take seriously.
While navigating this new reality, the CCA remains fully accountable for all of its work. AI does not replace expert judgment, deliberation, peer review, or human oversight. Responsibility for the knowledge we create, publish, and share always rests entirely with the CCA.
We are also committed to ongoing learning, evidence gathering, and evaluation to better understand where AI can add value, where it creates risks, and how it can be used responsibly to support Canada’s decision-makers and those impacted by their decisions. As we proceed, we will share what we learn to support the appropriate use of AI in evidence-based decision-making that advances Canada and its peoples.
Do you have questions about the responsible use of AI at the CCA? Get in touch: [email protected]
Last updated: October 29, 2026