The Royal Architectural Institute of Canada recognizes that artificial intelligence is rapidly changing the context in which architecture is practiced, taught, and experienced. AI tools are already being used across the built environment for research, concept generation, visualization, documentation support, data analysis, sustainability evaluation, project administration, and other tasks. Used thoughtfully, these tools may help architects improve efficiency, expand access to information, strengthen design research, support climate-responsive decision-making, and enhance service to clients and communities. At the same time, AI raises significant professional, ethical, legal, educational, and environmental questions that require careful leadership.
The RAIC affirms that architecture is a human-centred profession in service of public interest. Artificial intelligence may assist in practice, but it does not replace the architect’s duty of care, professional judgment, ethical responsibility, or accountability for the work carried out under their supervision. The architect remains responsible for validating information, exercising critical judgment, protecting the interests of clients and the public, and ensuring that decisions affecting the built environment are informed by human expertise, context, and values.
The RAIC supports a responsible approach to AI grounded in the following principles:
- Public interest first. The use of AI in architecture must support health, safety, well-being, accessibility, sustainability, and the long-term quality of the built environment.
- Human oversight and accountability. AI must not displace ultimate human responsibility for architectural decisions, professional services, or public-facing outcomes.
- Design integrity and authorship. Architects should use AI in ways that respect authorship, intellectual property, and the integrity of the design process, and should be transparent where AI meaningfully contributes to professional outputs.
- Accuracy, reliability, and critical review. AI-generated content, analysis, recommendations, and imagery must be reviewed and verified before being relied upon in practice, education, advocacy, or public communication.
- Privacy, confidentiality, and security. Architects and firms must protect confidential, proprietary, and personal information when selecting and using AI tools, and must understand the risks associated with data entry, storage, retention, and model training.
- Fairness and inclusion. AI systems can reproduce or amplify bias. Their use should be approached critically to avoid discriminatory outcomes and to support equitable, culturally informed, and inclusive design processes.
- Learning, mentorship, and the future of the profession. As AI changes workflows, the profession must ensure that students, interns, and emerging practitioners continue to develop core competencies, judgment, and experience through meaningful mentorship and practice opportunities.
- Environmental responsibility. Decisions about AI adoption should take into account environmental impacts, including energy and resource use, alongside potential benefits.
In keeping with these principles, the RAIC commits to:
- Advancing practical education and professional development on AI in architecture;
- Supporting dialogue across practice, education, regulation, and allied disciplines;
- Developing and sharing guidance on responsible use, including issues of judgment, disclosure, privacy, authorship, and risk;
- Monitoring developments in law, policy, standards, and professional practice in Canada and internationally; and
- Reviewing this statement periodically as the technology, evidence base, and regulatory landscape evolve.
The RAIC encourages architects to approach AI neither uncritically nor fearfully, but with curiosity, caution, and professional responsibility. The future of architecture should be shaped not by technology alone, but by the values, judgment, and public-purpose leadership of the profession.