AI to Gen AI to AGI
Contents |
[edit] What is artificial intelligence?
The UK Government’s 2023 policy paper on ‘A pro-innovation approach to AI regulation’ defined AI, AI systems or AI technologies as “products and services that are ‘adaptable’ and ‘autonomous’.” The adaptability of AI refers to AI systems, after being trained, often developing the ability to perform new ways of finding patterns and connections in data that are not directly envisioned by their human programmers. The autonomy of AI refers to some AI systems that can make decisions without the intent or ongoing control of a human. (This definition also appears in the UK Government 'Artificial intelligence (AI) glossary' update, January 2024.
[edit] What is generative artificial intelligence?
The 'CIOB Artificial Intelligence (AI) Playbook 2024', glossary of terms, published by the Chartered Institute of Building (CIOB) describes generative AI as 'an AI model that generates text, images, audio, video or other media in response to user prompts. It uses machine learning techniques to create new data that has similar characteristics to the data it was trained on. Generative AI applications include chatbots, photo and video filters, and virtual assistants.'
[edit] What is general-purpose artificial intelligence?
The 'CIOB Artificial Intelligence (AI) Playbook 2024', glossary of terms, published by the Chartered Institute of Building(CIOB) describes general-purpose AI as often referring to 'AI models that can be adapted to a wide range of applications.' Foundation models are one example of these, which are machine learning models trained on a vast amount of data so that it can easily be adapted for a wide range of general tasks, including being able to generate outputs (generative AI). Another example are large language models which are a type of foundation model trained on vast amounts of text to carry out natural language processing tasks. on the other hand narrow AI, or weak AI are 'models designed to perform a specific task (such as speech recognition) and cannot be adapted to other tasks.'
[edit] What is artificial general intelligence?
Artificial general intelligence (AGI) describes a (currently theoretical) development in artificial intelligence (AI) software implying a stronger version of standard AI. This software would go beyond the performance of current models that act within a set of predetermined parameters associated with, in effect a kind of training. AGI software would have a greater ability teach itself, a human-like intelligence that could in effect carry out a variety of tasks that it has not been pre-set, programmed, developed or trained to do. It describes the currently theoretical pursuit of systems that 'possess autonomous self-control, a reasonable degree of self-understanding, and the ability to learn new skills.'
The term AGI was initially used in the late 70s by Mark Gubrud to describe the implications of fully automated military production and operations, an agent with the ability to 'satisfy goals in a wide range of environments' was proposed by Marcus Hutter in 2000.
[edit] Related articles on Designing for Buildings
- AI building design tools
- Artificial intelligence and civil engineering.
- Artificial Intelligence and its impact on the project profession.
- Artificial intelligence and surveying.
- Artificial intelligence for smarter, safer buildings.
- Artificial intelligence in buildings.
- BSRIA publishes Artificial Intelligence in Buildings white paper.
- Building automation and control systems.
- Building information modelling.
- Computer aided design CAD.
- Computers in building design.
- Generative design.
- Global building automation.
- Internet of things.
- Key AI related terms to be aware of, with UK government explanations.
- Parametric design.
- Predictive analytics.
- The impact of digital on civil engineering.
- The long expanding list of AI tools for building planning, design, construction and management.
Featured articles and news
Government outcome to the late payment consultation, ECA reacts.
IHBC 2025 Gus Astley Student Award winners
Work on the role of hewing in UK historic conservation a win for Jack Parker of Oxford Brookes University.
Future Homes Building Standards and plug-in solar
Parts F and L amendments, the availability of solar panels and industry responses.
How later living housing can help solve the housing crisis
Unlocking homes, unlocking lives.
Preparing safety case reports for HRBs under the BSA
A new practical guide to preparing structural inputs for safety cases and safety case reports published by IStructE.
Male construction workers and prostate cancer
CIOB and Prostate Cancer UK encourage awareness of prostate cancer risks, and what to do about it.
The changed R&D tax landscape for Architects
Specialist gives a recap on tax changes for Research and Development, via the ACA newsletter.
Structured product data as a competitive advantage
NBS explain why accessible product data that works across digital systems is key.
Welsh retrofit workforce assessment
Welsh Government report confirms Wales faces major electrical skills shortage, warns ECA.
A now architectural practice looks back at its concept project for a sustainable oceanic settlement 25 years on.
Copyright and Artificial Intelligence
Government report and back track on copyright opt out for AI training but no clear preferred alternative as yet.
Embedding AI tools into architectural education
Beyond the render: LMU share how student led research is shaping the future of visualisation workflows.
Why document control still fails UK construction projects
A Chartered Quantity Surveyor explains what needs to change and how.
Inspiration for a new 2026 wave of Irish construction professionals.
New planning reforms and Warm Homes Bill
Take centre stage at UK Construction Week London.
A brief run down of changes intentions from April in an onwards.





















