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Happy New Year.2025 was the year I kept asking one question: If AI claims to understand sign language, who is accountable when it fails? I am  not  an AI developer or engineer. My role is to evaluate whether accessibility  actually works  for Deaf and BSL users, especially when AI is introduced into high-risk settings. This year, I saw real progress. I also saw serious gaps. Key moments in 2025: Started as  Accessibility Consultant at PN Inclusion  (July 2025) Achieved  AI

Recently, I’ve seen growing interest in tools like Sign-Speak and SignGemma — both exploring how AI can better understand sign language, not just display it. 🧠 Sign-Speak focuses on real-time sign-to-text and sign-to-voice translation, giving Deaf users and interpreters more direct ways to communicate.🤖 SignGemma , from Google DeepMind, explores sign language recognition using large-scale AI models. Out there, we already see many providers creating audio-to-text , tex

AI has the potential to enhance accessibility, but without rigorous ethical oversight and Deaf leadership , it risks deepening linguistic inequality—the new Digital Milan . For any hearing or non-signing organisation planning to buy, fund, or promote an "AI Sign Language" product, due diligence is mandatory. Before you fund, buy, or promote an "AI Sign Language" tool, you must ask these 7 Questions. AI innovation without ethical governance leads to Language Injustice . We nee

Hearing-led control over Deaf Language and knowledge. Languages never colonised again. Over the past year, my research has explored how Artificial Intelligence (AI) is transforming access to British Sign Language (BSL) . What I found confirms a critical truth: BSL is a living language , not just data, and its interface with AI is fundamentally about language power and equality. Too often, AI projects risk repeating historical mistakes—a pattern I call Digital Milan: Innovat