The last twelve months have seen a rapid advance of artificial intelligence, AI, with the release of consumer software applications such as ChatGPT and DALL.E. And as with most new pieces of technology, designers get new ideas from them. While current generations of AI use pattern detection or rule-following to help analyse data and make predictions, the advent of transformer architectures, developed by Google and Open AI has unlocked a new field: Generative Artificial Intelligence, GenAI. which is a type of AI that can generate original content in the form of text, images, audio, video etc. However, GenAI is not without drawbacks, including issues relating to privacy and security, bias, transparency, copyright, and equal access. And so while ChatGPT can act as a fast and powerful research tool, designers must still ensure that they validate any critical information from reliable sources. Yet the benefits of GenAI are obvious: For example, text-to-image generation can assist in rapidly creating visual representations of design concepts, including rapid prototyping allowing architects to explore various design alternatives and refine their ideas before investing significant time and resources in detailed design development. The large language model can also facilitate effective communication and collaboration among architects, clients, and other stakeholders conveying their ideas more clearly. In graphic design, by using ChatGPT, the tasks of choosing, say, colour palette, finding a catchy headlines, or deciding on a layout become easier and faster. Or, in product design, All in all, the increasing use of GenAI, both in education and professional practice signifies a paradigm shift in the world of AI where GenAI is becoming an effective co-designer for content creation across disciplines.
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