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Additional Accessibility Guides

Use AI to Enhance Accessibility

According to ChatGPT, artificial intelligence is an exciting development that has the potential to significantly improve digital accessibility for disabled people by describing visual content, automatically generating captions and transcripts, assisting writing, aiding understanding, and converting between formats. When designed thoughtfully and inclusively, AI tools can reduce barriers, increase independence, and expand equitable access to information, education, and communication in digital spaces (“Positive impact of AI“).

“AI itself is expanding the concept of assistive technology, shifting from traditional tools to intelligent systems capable of learning and adapting to individual needs. This evolution represents a fundamental change in assistive technology, emphasizing dynamic, adaptive systems over static solutions.”

(Giansanti and Pirrera 599)

Learning about AI is essential for everyone. Thinking critically about the (lack of) ethics, (devestating) environmental impacts, constant copyright infrignements, and (financial) sustainability of AI may be key to the survival of humanity. But, AI is not all bad, I promise.


Being here (wherever here is) is important. But, learning must lead to doing.

“you end up doing the document rather than doing the doing

(Ahmed 599)

We know AI is discriminatory against disabled people. Generative AI and AI chatbots (AI) can be uniquely helpful in improving the accessibility of digital content. AI has shown significant promise with:

  • Describing visual content
  • Transcribing audio to text
  • Assisting with writing
  • Aiding understanding
  • Converting digital content

There is no guarantee that AI will create accessible and inclusive content. However, harnessing AI to assist with accessible content creation and remediation can assist humans to create more inclusive content and experiences.

“Too much action without reflection is mere activism; too much reflection without action is mere introspection and armchair discussion”

(Beck 134)

Understanding AI’s limitations and capabilities is important. However, to make a tangible different, something must be done.

It’s time for doing.

Describing Visual Content

AI has shown to be particularly adept at describing visual content. Consider tools such as Alt Text Assistant in ChatGPT, Image Accessibility Creator, or use a detailed prompt in most AI interfaces.

Screenshot of ChatGPT Alt Text Assistant describing an uploaded image.
Screenshot of ChatGPT Alt Text Assistant describing an uploaded image.

Screenshot of descript providing a description of an uploaded video clip

The description may not be 100%, but using AI to start the process of writing alt text goes a long way to create accessible and inclusive digital experiences. After generating draft alt text with AI, verify the accuracy, edit hallucinated details, and ensure the description reflects the intent of the use of the image.

Additionally, consider the impact of apps like Be My AI and Seeing AI that assist Blind and low vision users in real time to identify objects, read text, and engage with the environment.

For video, tools like DCMP’s AI Scene Description Tool and Descript’s Describe Video tool (pictured right) offer a glimpse into the promise of real-time frame-by-frame audio description of video content.

They say a picture is worth a thousand words. Well, let AI write some of those words for you.

Find a complex image you aren’t quite sure how to write alt text for and use one of the tools listed above. It might not be perfect, but AI can get you started.

Transcribing Audio to Text

The massive expansion of large language models powering AI has led to significant improvements in the accuracy of automatic speech recognition (ASR). ASR is what generates automated captions such as those generated in Zoom and Teams meetings as well as by video hosting services such as YouTube, OneDrive, and Kaltura. Factor in the rapid advancements in accuracy, while remaining aware that ASR does not yet meet the 99% accuracy required for accessible closed captions.

Automatic captions will likely not be accurate enough to meet accessibility standards but will do a lot of the work for you. Use AI as it was intended, as a tool to make your life easier. With 85% of the work done for you, you can focus on finishing captions to 99% accuracy. Whatever platform you use, start leveraging automatically generated captions to improve access and inclusion.
Bonus

Check out device-based automatic live captions for Windows, Android, iOS, and macOS.

Screenshot of Goblin tools converting overly complicated instructions into shorter, easier to understand text.

Writing Assistance

If you’re an educator, you are likely extremely wary of AI’s impact on academic integrity.

I hear you. I see you. I understand you.

But let’s not think about the worst-case scenario. Consider goblin.tools Formalizer which takes existing text and re-writes it to be more professional, less snarky, more to the point, and many other tones.

Consider taking some complex documents, such as policy or guidelines, and having AI produce a plain language version. Provide the brief plain language version along with a link to the full policy document. To model best practice, not that AI was used to rewrite or simplify the text to make it easier to understand.

Understanding Complex Text

Screenshot of goblin tools Judge tool analyzing text for tone and offering an explanation of the author's potential intention and tone.

Regardless of access means or disability, it can often be difficult to determine the tone of written text, especially communications. Try out goblin.tools The Judge to get an explanation of what the tone and meaning of a message might be.

For easy-to-read versions of long, complicated text consider QuilBot’s Paraphrasing Tool. Another useful tool is to prompt to AI to explain something to you like you are 10 years old.

The next time you receive a potentially thorny email or message, ask The Judge to give you an opinion on if the sender’s meaning and tone is how you are interpreting it.

Converting file formats

AI can take a text prompt and generate a slop image or short video. That’s bad.

Another thing AI can do is convert images of text to machine readable text. This optical character recognition (OCR) process has been available in Adobe Acrobat or ABBYY FineReader for a long time. But now, an uploaded document accompanied by a straightforward “extract the text from this uploaded document” prompt works with most AI chatbots (according to a colleague, CoPilot did a better job of extracting handwriting from a scan than Acrobat Pro). Keep in mind, automated OCR struggles with columns, tables, maths, figure captions, and decorative elements, so human review remains essential.

While not a replacement for human remediation of inaccessible documents, AI OCR can be used to extract text from inaccessible documents. Like other AI tools, let AI OCR help by doing the bulk of the work, leaving only minor edits and touchups for you.

Pick one tool and apply it to a project tomorrow. Or better yet, reach out to someone that might benefit from using one of theses and help them get started with it. What little thing can you do to improve the lives of your users?

Ok, do it.

Is it that easy? No
But is it really that hard?

“the principal concern of the modern American liberal is, at all times, not what one does or believes or supports or opposes, but what one is seen to be.”

(El Akkad 118)

Is there dissonance between your intentions today and your actions tomorrow?

dissonance, n.
“inconsistency between the beliefs one holds or between one’s actions and one’s beliefs”

Has AI discriminated, stolen, excluded, wreaked havoc on the economy, and accelerated human extinction? Almost certainly.

But AI also offers real, immediate opportunities to easily reduce accessibility barriers and make tangible, positive change in people’s lives.

But we have to get to the doing.

Works Cited

Ahmed, Sara. “’You End Up Doing the Document Rather than Doing the Doing’: Diversity, Race Equality and the Politics of Documentation.” Ethnic and Racial Studies, vol. 30, no. 4, 2007, pp. 590–609.
Beck, D. “Co-operative Inquiry.” Rethinking Methods in Psychology, edited by J. Smith, R. Harré, and L. V. Langenhove, Sage, 1995, pp. 122–142.
El Akkad, Omar. One Day, Everyone Will Have Always Been against This. First edition, Alfred A. Knopf, 2025.
Giansanti, Daniele, and Antonia Pirrera. “Integrating AI and Assistive Technologies in Healthcare: Insights from a Narrative Review of Reviews.” Healthcare (Basel, Switzerland) vol. 13,5 556. 4 Mar. 2025.

License

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Accessibility Handbook for Teaching and Learning Copyright © 2023 by Briana Fraser and Luke McKnight is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.