This session highlights the people behind the scenes who train data to build and shape AI. Across the world, linguists and domain experts teach models how to learn, reason, and engage with human language and culture. Ethical AI is impossible without fair, transparent, and well-supported human work. The panel explores why human judgment is essential to safe and accurate AI systems, and why the specialists behind AI deserve respect. As AI continues to depend on expert oversight, this becomes a strong career path for skilled linguists, especially those in localization who can pivot into AI data training and human-in-the-loop roles.
