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AI to trigger human intervention

AI to trigger human intervention

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Adam Bittlingmayer, CEO and co-founder of Modelfront, unpacks what it really means to use AI to check and gate AI — deciding which machine translations can safely skip human review and which absolutely cannot.

We talk about the billions of people who still can’t access English-only content, why post-editing hasn’t delivered the promised efficiencies, how quality prediction changes the economics of multilingual publishing, and what this all means for linguists, workflows, and buyers who want to stay in control of their data rather than hand everything over to a single model provider.

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