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Funding or commissioning sign-language AI? A clarity check first.

Updated: Apr 4


Sign-language AI is often discussed as a single capability, but in practice, it encompasses very different types of tools, each with distinct levels of maturity, risk, and impact.


Infographic: Today's Sign Language AI. Compares one-way & bi-directional translation, current progress vs. research, with a caution against funding misuse.

Before funding or adopting any solution, it’s important to be clear about:

  • What type of system is actually being proposed

  • whether it supports one-way translation (e.g. text or speech → signed output) or claims bi-directional translation(signed input ↔ text or speech)

  • What remains human-led versus automated

  • and what timelines are realistic versus aspirational


One-way and bi-directional sign-language translation are not equivalent technical challenges. Treating them as the same can lead to unrealistic expectations, delivery risk, and poor accessibility outcomes.


I’ve written a practical overview to help organisations, funders, and decision-makers distinguish between:

  • What works today

  • What is still research

  • and where clear language and Deaf leadership are essential



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