05/12/2026
Many organizations are actively experimenting with AI.
What we see in practice is less clarity on how these initiatives are governed.
Teams are testing tools and moving quickly. At the same time, executives and boards are expected to approve decisions that carry legal, operational, and reputational consequences. In many cases, ownership is not clearly defined. Risk is not fully articulated. And the basis for key decisions is not documented.
This creates exposure. AI initiatives are not only technology deployments. They are decisions that require clear accountability, defensible reasoning, and appropriate controls from the outset.
Myriam Côté, eng., Ph.D. brings a unique combination of experience across research, industry, and strategy. Her background includes leadership roles in applied AI environments, including at Mila - Quebec Artificial Intelligence Institute, where she contributed to the development and growth of one of Canada’s leading AI ecosystems Her work focuses on how organizations integrate AI in a way that is both operational and responsible, bridging technical capabilities with business and societal considerations.
This is aligned with how we approach AI at Ceiba Law.
Because ultimately, it is not just the system that needs to perform.
It is the decision behind it that needs to stand.