Quebec’s government announced on June 15, 2026 that it has published a new guide to help businesses integrate artificial intelligence in a responsible manner. The document, released by the provincial authority, is intended to ensure that human judgment remains central to decisions that rely on AI systems, according to the minister responsible for the initiative.

Minister Jean Boulet presented the guide as a practical tool for the private sector, emphasizing the importance of maintaining human oversight while leveraging the efficiencies offered by AI technologies. The announcement highlighted that the guide outlines expectations for companies to follow when deploying AI, focusing on transparency, accountability and the preservation of human decision‑making authority.

The release forms part of Quebec’s broader effort to strengthen its AI governance framework. By providing concrete resources rather than only regulatory statements, the province aims to support companies in adopting AI in ways that align with public policy goals. The guide is positioned as a step toward creating consistent standards across industries, helping firms navigate ethical and operational considerations without stifling innovation.

While the guide does not introduce new legislation, it complements existing policies that govern the use of emerging technologies in the province. The government’s approach reflects a balance between encouraging technological advancement and safeguarding public trust in automated processes. Business leaders are expected to consult the guide as they develop or refine AI‑driven applications, ensuring that the human element is not displaced.

Quebec’s initiative follows a growing trend among jurisdictions to provide sector‑specific guidance on AI, aiming to reduce uncertainty for companies while reinforcing the role of human oversight. The province’s move signals its commitment to shaping a responsible AI ecosystem, with the guide serving as a reference point for organizations seeking to align their practices with provincial expectations.