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AI and Accessibility: Removing Barriers

Microsoft. (2018, May 7). Microsoft build: AI for accessibility. [Online video]. YouTube.

There are many aspects to AI and accessibility. One perspective is how it can improve accessibility when it comes to design, content and communication barriers in the world around us. Consider these examples when it comes to learning:

Table: AI Accessibility Tools and Learner Profiles
TOOL LEARNER PROFILES
Meetings: Live captioning and translation Deaf, deaf, deafened, or hard-of-hearing students Neurodivergent students English as a Second Language (ESL)  
Meetings: Live transcription and summary notes Deaf, deaf, deafened, or hard-of-hearing students Neurodivergent students English as a Second Language (ESL)

Handwriting/fine motor-based challenges

Automatic speech recognition Students with handwriting/fine motor-based challenges Blind or low-vision students Students with print disabilities [blank]
Writing/project idea prompts Neurodivergent students Students with initiation challenges (blank/white page syndrome) [blank] [blank]
Information retrieval-based study tools All students [blank] [blank] [blank]

Accessibility and AI Fails

While there are exciting opportunities for AI to help make the world more accessible and inclusive, AI can also continue to close out and exclude many segments of the world. Those who already face challenges with accessibility are especially vulnerable: