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Hello.
My name's Mrs. Taylor and I'm so pleased you can join me today for our lesson.
Today's lesson is AI to develop ideas: textiles, and this is part of the Iterative design: Nature unit.
The outcome: I can use AI to visualise design developments.
And we have four keywords.
AI, Artificial intelligence: the simulation of human intelligence in machines that can learn, reason, and solve problems. Algorithm: a set of rules or procedures a machine follows to process data and make decisions.
Bias: a tendency to favour or judge something unfairly based on personal beliefs or preferences.
Stereotypes: a generalised belief or assumption about a group of people or things.
We have two learning cycles.
The first is AI considerations and the second, using AI to develop designs.
Let's begin.
AI stands for artificial intelligence.
Artificial intelligence is the simulation of human intelligence in machines that can learn, reason, and solve problems. There has been a rapid evolution in AI capabilities in recent years, and it has quickly become part of our everyday lives.
Let's have a check.
What is AI? Is it A, a programming language used to build software applications; B, a physical component of a computer that process data; or C, the simulation of human intelligence in machines? Pause the video and have a go.
Well done.
Let's check.
That's right, it's C, the simulation of human intelligence in machines.
Well done.
Designers use generative AI, which learns from collections of data found online.
These collections are called data sets.
AI follows special sets of instructions called algorithms to create answers based on these data sets.
Algorithms are constantly updated so that more accurate answers can be generated.
Using AI when designing can help to develop design ideas.
It is not cheating to use AI as long as you are open and honest about your use of it and do not claim AI work as your own.
There are lots of advantages and disadvantages to using AI when designing.
Let's have a quick check.
What does AI use to generate answers or images from data sets? Is it A, data labels; B, information caches; or C, algorithms? Pause the video and have a go.
Wonderful.
Let's check.
That's right, it's algorithms. Bias is one of the issues that can occur when using AI to generate design ideas.
Bias is a tendency to favour or judge something unfairly based on personal beliefs or preferences.
Bias in AI is sometimes called algorithm bias.
The AI model can generate biassed results due to human bias that can affect the data sets or the AI algorithm.
This can lead to unfair or discriminatory outcomes that create stereotypes.
Stereotypes are a generalised belief or assumption about a group of people or things.
For example, Alex says, "People who live in New York walk really quickly and are always in a hurry!" Which of the below would be an example of a stereotype? Is it A, all old people are bad with technology; or B, some elderly people volunteer for charities; or C, my grandfather enjoys hiking.
Pause the video and have a go.
Fantastic.
Let's look.
That's right.
All old people are bad with technology is an example of a stereotype.
Alex has made a statement that is based on a stereotype that everyone in New York walks fast.
Logically, we know this cannot be true, as there are lots of people living in New York who all walk at different paces.
This is a stereotype rather than his information being based on fact.
Task A.
Part 1, explain what bias and stereotypes are and how they can affect designing when using AI generative programmes.
Number 2, input different prompts into an AI generative programme, for example, "Doctor at work" or "A futuristic fashion model." And part 3, analyse your results.
Are they diverse? Do they reinforce stereotypes? Pause the video and have a go.
Fantastic.
Let's look at some of the answers you may have come up with.
Bias and stereotypes are unfair assumptions about people based on things like gender, race, or age.
In AI design, if the AI is trained on biassed data, it can create designs that reflect those stereotypes.
For example, it might ignore diversity or only focus on one group.
This can lead to unfair or limited designs, so it's important to use diverse data to avoid bias.
Part 2.
An AI generated image of a doctor at work.
And part 3.
This image reinforces the stereotype that doctors are typically men and white, which can be misleading.
It also presents a polished, possibly American setting that may not reflect doctors' surgeries in the UK or other parts of the world.
Overall, the image contributes to the idea of gendered professions.
And now we move on to our second learning cycle, using AI to develop designs.
AI can be used in different ways when designing.
It can be used to help spark creativity when a designer has design fixation, or to help iterate ideas by changing details such as materials.
Three different ways AI can be used when developing designs are: method 1, using prompt words to generate ideas; method 2, uploading your own sketches to iterate; method 3, uploading your own sketches to view in an environment.
Let's have a check.
Which one is an advantage to using AI when developing design ideas? Is it A, increases creative block; B, helps with design fixation; or C, limits brainstorming options? Pause the video.
Let's check.
That's right, it's B, helps with design fixation.
Well done.
Method 1: using prompt words to generate ideas.
Prompt words can be put into an AI generative programme to generate ideas.
Prompt words are keywords that the algorithm will use to generate an idea.
One way to find prompt words is to use the client feedback on design ideas that have been gathered.
Below is Sofia's client feedback from her herb planter design ideas.
Focus on the designs that go in the window.
Develop the vertical designs.
Make it look more organic in style.
Sofia has picked out some keywords from her client feedback and decided upon the prompt words below: herb, pot, storage, system, hanging, natural, organic, window, vertical.
She has then used these prompt words in an AI generative programme to create the design.
Sofia would next use this design to help generate some further ideas of her own.
Sofia explains, "I hadn't thought about hanging pockets before.
To make it easier to move about I made the frame stand up on its own, so you don't need hooks on the wall.
This makes it more versatile." Let's have a check.
What do you input into an AI generative programme when generating design ideas without sketches? Is it A, prompt words; B, random words; or C, trigger words? Pause the video.
Let's check.
That's right, it's prompt words.
Well done.
Method 2.
Sofia has uploaded a sketch to experiment with what her design would look like in different materials or colours.
The design sketch, a clear polymer version, a fabric version, and a green polymer version.
Sofia explains, "Using AI helped me to quickly visualise my design in different materials, and it helped me decide that this design would look better in clear polymer so you can see through it." Method 3: uploading your own sketches to view in an environment.
Sofia has added her own sketches into AI websites followed by some prompts to see fully rendered versions of her sketches in different environments and lighting.
"Seeing this colourful idea and also what it looks like in a suitable environment has made me like this idea more.
It really suits the environment and would look great in the kitchen." Task B.
Use a generative AI programme to further develop your design ideas.
Use any of the methods below to develop at least three of your ideas.
Method 1, using prompt words to generate ideas; or method 2, uploading your own sketches to iterate; or method 3, uploading your own sketches to view in an environment.
Pause the video and have a go.
Fantastic.
Let's have a look at some of the outcomes you may have come up with.
Method 3: uploading own sketches to view an environment.
Sofia says, "I have uploaded one of my developed designs to see what it would look like in an actual window and if it would block the view or look right.
I'm worried about the accessibility of it now I've seen it like this." Here is a summary of our learning today.
AI: artificial intelligence is the simulation of human intelligence in machines that can learn, reason, and solve problems. Using AI when designing can help to develop design ideas, avoid design fixation, and iterate ideas.
It is not cheating to use AI as long as you are open and honest about your use of it and do not claim AI work as your own.
Designers need to be conscious of bias and stereotypes that can occur when using AI to help generate design ideas.
Well done, and thank you for joining me today.