Jahrestagung Programm Detail

Zurück zum Tagungsprogramm

AI Search Has a Language Problem: Technical Communication and Localization Teams Have the Solution.

  • Fachvortrag
  • GALA
  • 10. November
  • 11:30 AM (MEZ) - 12:15 PM (MEZ)
  • C7.1
  • VP of Growth Libor Safar

    VP of Growth Libor Safar

    • Argos Multilingual

Inhalt

AI-powered answer engines are changing how people find product, support, and technical information. Instead of browsing documentation or search results, users increasingly ask tools such as ChatGPT, Copilot, Gemini, Perplexity and AI-enabled search systems for direct answers. For global organizations, this creates a new challenge: how can we ensure that AI systems retrieve the right content, understand the right terminology, preserve meaning and generate accurate answers across languages? This session introduces Cross-Language Answer Retrieval, or CLAR, as a practical lens for technical communication and localization professionals. It connects familiar disciplines such as terminology management, structured content, information architecture, translation quality, metadata, and multilingual governance with the emerging world of AI search and Answer Engine Optimization (AEO). Participants will learn where meaning can drift in multilingual AI answer systems and how technical communication and localization teams can take ownership of this vital area.

Das lernen Sie

• Understand the hidden AI answer pipeline: how user questions move through retrieval, source selection, reranking, generation, and citation, and where multilingual technical content can succeed or fail. • Recognize cross-language failure points: semantic drift, entity confusion, terminology mismatch, low-resource language gaps and English-dominant source bias. • Reframe localization and terminology as AI-readiness disciplines: termbases, structured content, metadata and local-market validation become essential for global answer quality. • Identify the role of technical communication in international AEO: technical communicators can help ensure that AI systems retrieve authoritative content, preserve meaning and generate accurate answers across languages."

Referent:in

VP of Growth Libor Safar

VP of Growth Libor Safar

  • Argos Multilingual
Biografie

Libor is a language enthusiast who turned his electrical engineering and, later on, business administration background into a lifelong adventure in languages and technology. In the localization industry since 1993, he has worn many hats along the way—from hands-on translation to language quality, production management, sales, marketing and corporate development. Now, as head of growth at Argos Multilingual, he's doing what he loves most: bringing people and technology together in perfect harmony.

What drives him is his desire to help others around him—businesses and people alike—succeed. And with the AI revolution now underway, this is perhaps the best time ever. He likes sharing whatever knowledge he has; he writes slowly and speaks fast about anything to do with the language industry, multilingual AI or global marketing. Always with the same goal in mind: making the localization industry a better place for everyone involved. 

zurück