Live events bring together global audiences, but language barriers have traditionally required costly human interpreters. Now, AI-powered interpretation is making real-time translation more accessible.

How AI Interpretation Works
There are two main types of AI interpretation:

• Speech-to-Text (S2T): AI converts spoken words into real-time captions, which can be translated and displayed on-screen.
• Speech-to-Speech (S2S): AI transcribes speech, translates it, and converts it back into spoken language.

These technologies help streamline virtual conferences, webinars, and international meetings, reducing costs and increasing accessibility.

Where AI Falls Short
Despite advancements, AI interpretation isn’t perfect. It struggles with:
• Fast-paced discussions & negotiations – Frequent interruptions confuse AI.
• Unstructured events – Casual or dynamic conversations lack clear patterns.
• Medical & legal contexts – Misinterpretations can have serious consequences.
• Highly sensitive topics – AI lacks human discretion and cultural awareness.

The Future of AI Interpretation
AI is a powerful tool, but it’s not a full replacement for human interpreters, especially in high-stakes or nuanced conversations. Instead, it works best as a cost-effective complement, helping bridge language gaps in structured, low-risk settings.

Watch for our next AI-interpreting article about quality expectations!