12/08/2026
Communication in the Age of AI
Part 3/5 – AI Isn’t Neutral
The more I explore AI, the more I realise that two things can be true at once.
AI can be an incredibly useful tool. For some disabled people, it can remove barriers, conserve energy and increase independence.
But calling something a tool doesn’t make it neutral. A knife and hammer are tools but they can be used to harm.
How we use AI matters. So does understanding something about what sits behind it: the information it learns from, whose experiences are represented, whose are missing, and what assumptions might already be embedded there.
For me, that means using AI with knowledge and intentionality. Not accepting everything it produces simply because it sounds convincing, but questioning it, challenging it and ultimately taking responsibility for what I choose to use.
Because AI learns from enormous amounts of human-created information. And that information comes from a world where racism, ableism, sexism and other inequalities already exist.
So what happens when we teach machines using the records of an unequal society?
We shouldn’t be surprised when some of those inequalities come back out.
This was something that really stayed with me after hearing Dr Abeba Birhane speak at an AI event organised by Greater Manchester Coalition of Disabled People.
Her work on AI accountability made me think much more deeply about the systems and power structures surrounding AI, and how existing inequalities can be amplified rather than somehow disappearing when technology becomes involved.
It led me to explore the work of Dr Joy Buolamwini and the Algorithmic Justice League too.
Her experience is a striking example of why representation matters. Facial analysis software struggled to detect her dark-skinned face, while detecting a white mask she wore. She went on to research commercial facial-analysis systems, and her Gender Shades work with Dr Timnit Gebru demonstrated significant disparities according to gender and skin type.
That’s not some hypothetical future danger.
It’s an example of inequality becoming encoded into technology.
And it made me think about disability.
If disabled people are missing or poorly represented in the information used to develop and test these systems, our lives can become the exceptions the technology doesn’t understand. This is exactly what Dr Birhane was warning us about.
But there’s another kind of inequality too.
Who actually gets to benefit from AI?
That question has been on my mind particularly since Reesha Armstead
shared an article about autistic people and people with learning disabilities potentially being left behind as AI develops.
For some disabled people, including people with communication difficulties, AI might increase independence or make something that previously took hours considerably easier.
But those benefits aren’t automatically distributed equally.
Someone may not be able to afford the technology. They may not have reliable internet access. The training may not be accessible to them. Their language, disability or way of communicating may never have been considered when the system was designed.
And this is where intersectionality really matters.
Nobody experiences the world as simply disabled, or Black, or female, or poor. People can experience several forms of marginalisation at the same time, and the barriers created by those inequalities can interact and compound one another.
Technology doesn’t make those structures disappear.
Sometimes it can reproduce them.
That’s why I don’t think the answer is simply to embrace AI uncritically.
But I don’t think excluding disabled people from it is the answer either.
We need disabled people, Black and Brown people and other marginalised communities involved in designing, testing, challenging and regulating these systems from the beginning.
Because if we’re not in the room when the technology is being shaped, we shouldn’t be surprised when it doesn’t understand our lives.
AI can remove barriers.
It can also reproduce them.
Holding both truths matters.
Image description: A square Changing the Narrative graphic on a white background using black, blue and orange text. At the top it reads: “Communication in the Age of AI. Part 3/5 – AI Isn’t Neutral.” The main message reads: “AI can remove barriers. It can also reproduce them.” “Remove” is highlighted in blue and “reproduce” in orange. At the bottom it says: “Holding both truths matters.” Changing the Narrative branding and a small Trexy character appear at the top.