# AI for Accessibility: Assistive Technologies, Sign Language Recognition, and Inclusive Systems Status: public Confidence: medium (0.83) (verified) Last verified: 2026-05-28 Generation: ai_structured ## TL;DR AI accessibility work is strongest when tied to concrete assistive functions: describing scenes, transcribing speech, and improving speech recognition for people whose voices are poorly served by standard systems. ## Core Explanation Assistive AI systems combine computer vision, speech recognition, natural language processing, and personalization. The public evidence here supports visual assistance through Seeing AI, live speech-to-text through Android Live Transcribe, and research on speech recognition for non-standard speech through Project Euphonia. ## Related Articles - [AI Gesture Recognition: Hand Tracking, Sign Language, and Touchless Interaction](../ai-gesture-recognition.md) - [AI Biometric Recognition: Fingerprint, Iris, Face, and Multimodal Deep Learning Systems](../biometric-recognition.md) - [Video Understanding: Action Recognition, Temporal Action Detection, and Video-Language Models](../video-understanding.md)