Using voice mode on Claude Mobile Apps | Anthropic Help Center
Prompt Engineering
(1) Post | LinkedIn
Ever asked your GenAI to make a worksheet and thought, “This looks fine”?
Now ask yourself:
🤔 Can a student with dyslexia access it?
🤔 Can a learner using a screen reader make sense of it?
🤔 What about a child who reads slowly or needs visual scaffolds?
Most AI-generated content isn’t designed for everyone because it is a product of its training data. Statistically it has a likely 'default' or 'norm'.
This means that 'standard' prompts often lead to outputs that:
➡️ Use dense, unchunked text
➡️ Have no alt-text, headings or visual cues
➡️ Assume fluent reading, writing, and motor skills
➡️ Lack any option for audio, simplified text, or multiple formats
And that’s accessibility bias. It closes doors for learners. It gatekeeps learning.
This is Post 1 in my new series:
“10 Types of Bias in AI-Generated Content: A Practical Guide for Teachers and Educators.” Attached you can see my guide to accessible prompting.
In the downloadable guide, you’ll get:
✔️ Real examples of biased prompts and revised, inclusive alternatives
✔️ Statutory links (SEND Code, Equality Act, WCAG 2.1)
✔️ A bias-mitigating “super prompt”
✔️ A customisable template prompt for use in any subject or age group
Have a read through, check out my shared chats, or skip straight to the 'super-prompts' at the end and try it yourself.
Let's fight that bias any way we can and let me know any aspects that work well for your learners.
What do you think? Al Kingsley MBE Prof Miles Berry Tina Austin Darren Coxon Chris Goodall Arafeh Karimi Tim Dasey Matthew Wemyss Maria Rossini Dan Fitzpatrick Sam Canning-Kaplan Mark Anderson FCCT Tom Moseley James Bedford SFHEA Rachel Kent ChatGPT for Education | 34 comments on LinkedIn
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