What happens to your words after AI translation?
1 min read
As machine translation (MT) becomes integral to professional communication, understanding how your data is handled is more than a technicality—it’s a matter of security and trust. When texts are submitted to AI systems, they may be stored, analysed, or routed through multiple servers. For those working with sensitive or regulated content, this introduces legal and ethical concerns. The February 2025…
As machine translation (MT) becomes integral to professional communication, understanding how your data is handled is more than a technicality—it’s a matter of security and trust. When texts are submitted to AI systems, they may be stored, analysed, or routed through multiple servers. For those working with sensitive or regulated content, this introduces legal and ethical concerns.
The February 2025 update to the EU AI Act reinforces the requirement for transparency in how general-purpose AI systems process and store data. Although full data residency control is not always mandated, translation providers are expected to disclose whether data stays within the European Economic Area or is transferred elsewhere. This allows users to assess potential risks and comply with privacy obligations.
For language professionals, especially in legal, healthcare and financial domains, it’s essential to choose MT platforms that clearly outline their data practices. Secure translation is no longer just about encryption—it’s about knowing the journey your words take.
#DataTransparency #AItranslation #SecureTranslation #MachineTranslation #EUAIAct
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