AI is the Future of Accessibility - Karl Groves

Karl Groves predicts AI will achieve 100% automated accessibility testing in 3-5 years. The future of the field isn't doing the work—it's leading it.

#1about 5 minutes

Understanding that AI will continuously improve over time

Despite current flaws like bias and inaccuracy, AI technology is on a constant trajectory of improvement, similar to all historical technological advancements.

#2about 3 minutes

Considering the Fermi paradox and humanity's future

The potential for technological progress is contingent on humanity surviving its self-destructive tendencies, a concept explored through the Fermi paradox.

#3about 4 minutes

Advancing prosthetics with brain-computer interfaces

AI is revolutionizing prosthetics by decoding brain and muscle signals, enabling intuitive control and creating two-way communication for sensory feedback.

#4about 4 minutes

Transforming healthcare with predictive diagnostics and regeneration

AI enables personalized medical diagnostics, early disease detection, and on-demand tissue engineering by creating digital twins and integrating with CRISPR technology.

#5about 4 minutes

Creating independence with autonomous vehicles and smart environments

Autonomous vehicles and ubiquitous computing create ambient intelligence, offering unprecedented independence and equity for people with disabilities through automated transport and adaptive living spaces.

#6about 2 minutes

How AI is making assistive technology adaptive

AI is transforming assistive tools from passive aids into smart, adaptive systems that provide real-time feedback, navigation, and sensory transition for users.

#7about 5 minutes

Why AI will eventually replace manual accessibility work

Within a few years, AI will achieve nearly 100% automated accessibility test coverage and generate fully accessible code, making it a data problem, not a capability problem.

#8about 3 minutes

Adapting your accessibility career for the age of AI

Accessibility professionals must evolve by shifting from execution to strategy, mastering AI tools, focusing on ethics, and leading the conversation on human-centric design.