News & Blog

28/02/2026

AI Bias in Legal Translation

Legal translation presents unique challenges because legal concepts are culturally and jurisdictionally embedded. Machine translation systems learn from vast collections of previously translated legal texts. When these training datasets are imbalanced—skewed toward particular legal systems, jurisdictions, or document types—the AI replicates those patterns inappropriately.
15/02/2026

AI Translation Bias in Healthcare

AI has legitimate applications in medical and pharmaceutical translation—accelerating turnaround for appropriate content types, improving terminology consistency across large documentation sets, and reducing costs for lower-risk materials. But in healthcare and pharmaceutical contexts, AI must be deployed with rigorous governance, transparent limitations, and appropriate human oversight.
27/01/2026

AI Bias in Translation & Localisation: Why Data Quality Matters

AI is only as smart as the data it’s fed. When datasets lack diversity, your global message risks being lost—or worse, becoming offensive. Think of AI as a reflection of its training. If the data is skewed, the translation will be too. We break down why biased datasets are the biggest hurdle in modern machine translation and how My Language Hub combines human expertise with ethical AI to keep your communication accurate.
17/03/2025

St. Patrick: Cultural Bridge for Language Services

St. Patrick’s Day isn’t just a celebration of Irish heritage—it’s a powerful reminder of the timeless value of cross-cultural communication. St. Patrick, originally from Roman Britain, embraced the local customs and language of Ireland, becoming a true bridge between two distinct cultures. His journey of learning and adapting to a new linguistic and cultural landscape mirrors the core mission of language services today.