Will AI allow us to dispense with all or most accessibility regulations?

Area of Science:

• Computer Science
• Human-Computer Interaction
• Artificial Intelligence

Background:

• Current accessibility efforts rely on inclusive design and assistive technology (AT).
• Advances in AI, computer vision, and interface understanding offer new possibilities.
• Significant industry and regulatory changes would accompany a shift in accessibility approach.

Purpose of the Study:

• To present the case for a shift from inclusive design to a universal interface transformer focus.
• To explore the benefits and ramifications of this approach.
• To outline necessary developments and a hybrid strategy.

Main Methods:

• Conceptual analysis of AI's role in accessibility.
• Discussion of potential paradigm shift in accessibility.
• Exploration of hybrid models combining inclusive design and universal transformation.

Main Results:

• AI can potentially automate significant portions of accessibility work.
• A shift to universal interface transformation could redefine accessibility standards and industries.
• A hybrid approach offers a potential pathway for transition.

Conclusions:

• A paradigm shift towards universal interface transformation, powered by AI, is feasible.
• This shift necessitates evidence of benefits for people with disabilities and a clear transition path.
• A hybrid model may facilitate the integration of new AI-driven accessibility methods.