Artificial Intelligence (AI) in Assistive Technology (AT) is accelerating the development of equipment, products, and services that can make society more inclusive. AI advancements improve the use of AT and has significant potential for enhancing inclusion, independence, and participation for people with disadvantages and disabilities.
Opportunity Statement:
The World Health Organization estimates that one billion people currently need AT, with this number increasing to two billion by 2050. Yet, only one in ten have access to AT, creating a significant market gap and need.
Essential Resources:
Legislation will build a more accessible, inclusive B.C.
AI gave Stephen Hawking the ability to communicate
How A.I. can Empower Assistive Technology and Reduce Inequality
This topic was very interesting and important for me because one of the best uses of AI is helping the development of Assistive Technology (AT). This is especially important for communities with less access to technology and for people living in remote areas. AI can help reduce differences in educational opportunities and improve access to learning and support services.
The statistics from the World Health Organization show that the need for AT is growing quickly, while unfortunately only a small number of people currently have access to these technologies. But we should also think about what would happen if AI did not exist to help expand Assistive Technology. The gap in access and support could become much bigger.
I believe that in the future, new methods will make these technologies cheaper, simpler, and easier to access for people who need them. Hopefully, in the next twenty years, governments and NGOs will pay more attention to this issue. By increasing access to Assistive Technology, educational and social inequity may gradually decrease, creating more equal opportunities for everyone.
Assistive Technologies are a highly opportunistic learning technology, especially in my role as a primary educator. In Grades 1 and 2, a key focus is developing early literacy skills such as reading and writing, and assistive technologies can play an important role in supporting inclusive learning for students with diverse needs. Tools such as text-to-speech, speech-to-text, and reading supports can help remove barriers and allow more students to access the curriculum at their level.
However, I also believe it is important to maintain a balance with traditional learning approaches, such as handwriting and paper-based tasks, particularly during early development. These foundational skills remain important in early literacy development. Rather than replacing traditional methods, assistive technologies can complement them by providing additional pathways for students to engage with learning in meaningful ways. Overall, I see strong potential for these tools to support differentiation and inclusion in the primary classroom.
This is where I see the most urgent opportunity for equity in education. We’ve already seen AI create genuinely useful tools like text-to-speech, predictive text, and real-time captioning. Also, for students with ADHD or other learning challenges, these can be the difference between participating and sitting on the margins. The opportunity is massive, particularly if people with disabilities are centred in the design process.
AT plays a big role in education, and in my opinion, the personalization capabilities that emerging technologies have to offer go together well with AT. Assistive needs will vary differently from student to student and dynamic products have the potential for more accomodation over a rigid product that generalizes the needs of a population of students. I think it’s necessary to include people with disabilities in the design of these products, so that disabled perspectives are built into the foundation of the technology rather than based in afterthought or generalized assumptions.
I am skeptical of a lot of the common pitfalls of AI, but I do also believe in the power it has to make marked improvements in people’s learning as well, particularly through assistive technologies.
In a classroom setting, as others have mentioned, there are examples of speech-to-text AI apps, personalized tutors, and so on. However, there is also room for assistive technologies such as Neuralink, AI software for prosthetics, AI-assisted wheelchairs, cognitive hearing aids, and so many other areas where ML techniques could augment assistive technologies to something so much more than they already have been.
It’s a bit of a transhumanist view, and I also want to be wary of any cognitive off-loading that we’re seeing with student’s reading and comprehension skills falling as more of the cognition is being off-loaded to machines. If we can find the balance between too much and just enough, I think there’s a real opportunity there.
As an educator in the middle grades, I find that many of my students need support in some form for their education. I have taught in schools with a majority of students who are English language learners, and I currently teach in a school where 30% of some classes are on individual education plans to support them in the classroom. While AI, specifically in AT, can be a huge benefit to some, it also creates a disadvantage for those whose growing minds rely on it as their only tool to support their educational success. I fear that if AI in AT is consistently misused, then it can create people who cannot think outside of the little technology box. How can we, as educators, demonstrate to them the proper use and application of AT so they can be productive citizens?
One thing that fascinates me about AI-integrated assistive technology is how it represents a pivot from traditional accommodations into something more personalized, fluid, and context-dependent. In the past, access has been limited by cost and specialized hardware requirements. Now, with AI-leveraged software emerging, I believe we’re on the threshold of seeing assistive technologies applied in dynamic and new ways.
From a teacher’s standpoint, I believe that the true importance of this technology will become twofold. First, it signals a minimization of the market gap between who can and cannot afford assistive technologies, while also redefining what that assistance looks like. Second, the scope of assistive technologies as a whole is broadening past the point of it simply being physical accommodations and becoming more tailored towards non-tangible digital solutions specific to each user. With this ongoing evolution, I am curious how these technologies will alter our metacognitive processes and physical capacities over time (for example: our ability to stay focused, internalize information, or acquire muscle memory). Will we eventually reach a point where AI will be able to autonomously intervene (as if to “smooth out”) our learning experiences and physical capacities by recursively re-assessing its own effectiveness through “how” and “when” it assists each individual learner? Maybe that’s a bit of a far out thought. Ultimately though, the potential of AI-driven assistive technologies will become increasingly important in the future as it continues to expand into non-traditional learning contexts by offering personalized physical, technological, and cognitive interventions tailored to a user’s individual needs.
In my current role as an education and training advisor, I often meet clients who require AT to complete their studies or perform every day tasks, write composing emails. Coincidentally, I recently started using speech-to-text after injuring my finger to help me write emails to clients and complete my school work. AT is broad and designed to help numerous disabilities and impairments. These kinds of technologies can significantly improve a person’s quality of life by making once arduous tasks seamless. They help create a more equitable playing field in society. Some AI applications being integrated in AT include object recognition, emotion detection, gesture-based control and navigation assistance. AT is something that we will always need and it is exciting to see how it is becoming more efficient and far reaching in its capabilities with AI.