When Talent Meets Technology: The Intersection of AI, Automation, and Human Expertise

Track: Multilingual AI | AI4 |   Everyone |
Tuesday, October 29, 2024, 4:15pm – 5:00pm
Held in: Steinbeck 3
Presenters:
Marcella Lage - Red Hat 
Mason Ma - Red Hat
Host: Matthew Jackowski

Participants will explore how the integration of machine translation, generative AI techniques, and human proficiency greatly improves the accuracy, relevance, cost, and speed of localized content. There will be a focus on the importance of developing language-specific guidelines for accurate, prompt engineering to capture the cultural nuances needed for enhancing translation. In addition, highlight the critical role of humans in refining AI prompts for effective optimization of content localization workflows. This collaboration is key to achieving high translation standards and ensuring localized content meets global quality benchmarks.

Takeaways

Process: Participants will learn the process of enhancing translation accuracy and localization relevance through the integration of machine translation, AI-powered review processes, and human quality assurance. This includes refining AI instructions and evaluating outcomes to ensure cultural nuances are accurately captured; Standards: Attendees will discover the importance of establishing clear quality assurance standards for machine-translated content. This involves setting up review levels and creating a centralized repository for language-specific guidelines to support consistent quality; Technical innovation: The session will provide insights into using OpenAI’s API and generative AI for tasks such as translation quality evaluation and adjusting the tone of articles. It will highlight the collaboration between humans and AI in fine-tuning localization efforts and improving prompts engineering