Pillars
The five pillars
The Hub identifies the risks AI poses, defines the capabilities to manage them, supports the governance to hold them to account, builds those capabilities through training, and advances the evidence base through research.
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Risk Management
Understanding, anticipating, and mitigating the risks that AI systems pose across the built environment, spanning technical, organisational, societal, and lifecycle dimensions, from design and construction through to operation and decommissioning.
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Competence
The human capabilities required for responsible AI adoption in the built environment, including how knowledge, skills, and behaviours are defined, developed, assessed, and recognised across professions, roles, and career stages.
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Governance
The structures through which AI in the built environment is directed and held accountable, including regulation, standards, professional body guidance, organisational policy, procurement requirements, and assurance mechanisms.
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Training
Education and lifelong learning for responsible AI practice in the built environment, from foundational literacy to advanced and specialist development, across academic, professional, and industry settings.
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Research
Advancing the evidence base on AI in the built environment through original research, spanning empirical studies, applied development, critical and conceptual work, and scholarly dissemination.
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