/CIBSE Launches New Position Statement on Responsible AI Adoption in Building Engineering
– CIBSE emphasizes a responsible approach to artificial intelligence in building engineering.
– The position statement highlights the balance between AI innovation and professional integrity.
– Engineers remain accountable for their work despite the use of AI tools.
– Ongoing dialogue and collaboration are encouraged to shape the future of AI in the industry.
The Chartered Institution of Building Services Engineers (CIBSE) has published a comprehensive position statement regarding the deliberate and responsible use of artificial intelligence (AI) within the building engineering sector. This move reinforces CIBSE’s commitment to guiding engineers as they adapt to the rapidly evolving technological landscape.
Crafted by CIBSE’s AI Working Group in light of the swift incorporation of AI tools into professional practice, the Position Statement – Artificial Intelligence examines both the promising opportunities and the necessary precautions associated with AI’s integration in the field.
The statement underscores AI’s potential to revolutionize building engineering. It can enhance engineering expertise, bolster building safety, streamline complex tasks, diminish repetitive work, and ultimately increase productivity. By allowing engineers to concentrate on higher-value activities, AI can pave the way for enhanced innovation and foster the development of more sustainable and efficient buildings.
Nevertheless, to fully leverage these advantages, a careful and informed strategy is crucial. Given the priority of building safety, the application of AI must be guided by professional judgment, human verification, and a solid understanding of legal and ethical responsibilities.
Ahmed Hegazi, Head of Knowledge and Digital at CIBSE, stated, “CIBSE has always been at the forefront of building engineering, and our approach to AI is no different. We see enormous opportunities for AI to enhance engineering expertise, drive innovation and deliver better buildings. But in an industry where safety, competence, and accountability are paramount, technology must support professional judgment, never replace it. Our new position statement, shaped by leading industry expertise and rigorous peer review, sets out the principles for responsible AI adoption. Importantly, this is just the beginning of the conversation. We want to work with our members and the wider industry to ensure AI develops as a force for engineering excellence.”
CIBSE’s position adopts an opportunity-focused perspective, balancing the adoption of new technologies with an emphasis on maintaining professional integrity, competence, and accountability. A key tenet of the statement is the assertion that engineers must remain professionally and legally accountable for their outputs, irrespective of whether AI tools have been employed. As such, AI-generated results must undergo critical assessment and verification by qualified professionals.
The statement further stresses that AI applications should align with CIBSE’s Code of Conduct and uphold the principles of engineering excellence and sustainability. It advocates for ongoing education, critical analysis, and the retention of core engineering skills as AI technologies become more embedded in industry practices.
Through the initiatives of its AI Working Group, CIBSE is actively engaging with the implications of this rapidly changing technology, aiming to facilitate a smooth transition that benefits engineers, the built environment, and society as a whole.
Acknowledging that AI functionalities, applications, and regulatory frameworks will continue to evolve, the position statement is framed as an initial step in ongoing discussions rather than a conclusive policy. CIBSE plans to regularly review its position to ensure alignment with advancements in technology and professional standards.
The Institution is also inviting feedback and collaboration from its members and the broader industry, fostering constructive conversations to help define responsible AI utilization in building engineering.
