The one statistic that always stands out in this conversation is the number of people with disabilities - An estimated 1.3 billion people, or 16% of the global population. This covers varying types of disability, where people can find it challenging to conduct their lives independently of external help. Accessibility, especially in the digital realm, can help rectify this.
Simply put – It’s the process of creating products, services, and environments that are usable for people with disabilities.
It’s about providing access to parts of everyday life that have not been designed well enough, which end up creating barriers for many people across the globe. And as everything is becoming digitized, web and digital accessibility becomes an integral aspect of this move toward inclusion.
But companies don’t need to tackle this alone. The W3C Web Accessibility Initiative has created specifications that can help businesses and individuals build born-accessible offerings. The WCAG 2 specifications have been the most in-depth guidelines up to now, with the latest WCAG 3 currently in the draft stage.
Although AI has become a talking point in every conversation since the release of ChatGPT3, automation tools have long existed in the digital ecosystem. They’ve been playing a small yet consequential role in enabling access for millions of people. You might even see this in places like Museums, which were creating methods to appreciate art for people with disabilities. Another example is Google’s suite of accessibility products.
Testing and correction of accessibility features -
This is an average of 51.4 errors per home page. Companies often aim to be accessible but end up falling short. Conducting gap analysis and regression testing through Machine Learning can help catch errors that you might miss, including lack of alt-text, metadata, closed captions, navigation, etc.
Deque found that 57.38% of total accessibility issues were detected using automated tests. Using various accessibility checkers, some baked into existing applications, you can create websites and content that is accessible and inclusive. The accessibility assistant from Microsoft is a great example of assistive tools.
Image recognition – There are various use-cases of image recognition for accessibility. Web-based image recognition is implemented through neural networks and image processing tools, which can identify, assess, and index image data.
These tools can break down the images and generate Alternative-Text (Alt-text) for people with vision loss. Automated generators can reduce human intervention and allow websites to create descriptive alt-text that conveys all relevant information, which can have a significant effect on SEO ranking. It can also assist your writer in creating descriptive and efficient alt-text that conveys the correct message to the audience.
You could point your phone out of a car and get a description of the stores and businesses you’re passing.
Speech recognition – We’ve already seen the implementation of speech recognition software such as Siri and Alexa, which can be combined with assistive technologies. Further development and integration with Natural Language Processing (NLP) models can allow the use of generative AI for accessibility.
Closed Caption (CC) creation is one of the largest uses of speech recognition and auto-transcription. CC is a form of subtitling that provides contextual information to the speech, which is required for people who are deaf or hard of hearing. Companies are using AI platforms, like IBM, Otter, Rev, to generate this CC with a substantial reduction in human involvement. Real-time CC generation can also help people in this era of remote work and video calls.
Text-to-speech – These AI tools can be effective for those with speech impairment, as AI-generated speech can allow participation in everyday life. However, this tool can also be used to generate speech for those with vision loss, especially while browsing text-heavy websites. It permits the consumption of your content, as intended, and has become a default feature on most websites. Access to these tools can ensure that your content reaches all members of society.
Integrating these with NLPs can also help summarize scientific and complex information. Graphs, charts, and equations are not easily digestible data and require mediation by experts. Auto-generated and processed information can break down this data and provide Alt-text that is understandable.
Facial recognition – This is especially useful for people with mobility disabilities, as it removes the need for manual data-entry. AI software will eventually be used to understand subtle and minute facial movements to help with aspects of using the web.
A shift of the eyes could send a signal to the website to navigate back to the previous webpage, thereby helping with usability and navigation of your website. Emotion-sensing could also be used to provide nuance to actions, however there were ethical concerns around this.
Lipreading – AI is already better at lip-reading than humans, although there didn’t seem much reason to believe humans could do that well enough. This facet is being used to develop software that can help people who have difficulties with speaking.
Combining facial recognition and lipreading AI tools can automate Closed Caption generation for video content, thereby helping those who are hard of hearing. This form of technology is also being used by the National Health Service (NHS) in the UK, to help patients communicate effectively.
You might not have an option either. Policies and regulations are being deployed in different parts of the world, which mandate the creation of born-accessible products and services.
The European Accessibility Act is one such directive, which lists the accessibility requirements for various offerings such as web content, computers, smartphones, ATMs, ticketing machines, banking services, e-commerce, etc. Web platforms and digital content are critical in this, with consumers having the right to find redressal in the legal system. This directive aims to bring more people into the workforce and strengthen the competitiveness of their economies.
Marketers must pay attention to ensure they stay updated with the emerging requirements, while creating an ecosystem that is inclusive to all. There are further reasons for founders and marketers to inculcate a culture of accessibility:
AI has the potential to revolutionize how we think about inclusion and access. It can remove barriers for people with disabilities, allowing them independent living through AI and IoT devices. It can improve access to education, opportunities for technical subjects, reduce barriers to employment, and allow for consistent-quick interactions.
A point to note is that AI can also replicate and amplify existing biases and discriminations, which might end up excluding people with disabilities. This tech can also be expensive and could pose a risk to privacy - factors that can have a negative impact on people who need it.
However, over 70% of disabilities are estimated to be invisible, with people hesitant to disclose it to others. This makes it incumbent upon organizations to no longer ignore these needs and ensure that accessibility is incorporated into their ecosystem. Thankfully, AI can make this a seamless process when used correctly.
What do you see as the future potential for Accessibility? Write to us.