This post will explore how an adaptive, intelligent system could empower users with disabilities to optimize their experience in digital environments. Even were such a system available tomorrow, developers of digital content, services, and products would still be responsible for providing equal access to ALL users.
Consider a few of the many exciting advances in assistive technology and digital accessibility over the past few years:
- Auracast: a technology that enables one device to transmit sound (e.g., language translation) wirelessly to multiple users with a compatible device, faster than traditional Bluetooth, without requiring pairing,
- PlayStation Access Controller: a highly customizable controller kit designed for gamers with limited motor control,
- The European Accessibility Act (EAA): digital accessibility legislation that applies to both the hardware and software of digital products and services.
There has also been an enormous increase in the availability, capability, and use of artificial intelligence (AI). AI methodologies such as natural language processing, computer vision, and machine learning are actively transforming both assistive technologies and digital accessibility practices. As Giansanti and Pirrera (2025) observe:
“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.”
I’d like to propose a term for the space where assistive technology, digital accessibility, and artificial intelligence converge: Intelligent Digital Accessibility Assistance.