EP. 8 - The AI Ergonomics Framework for Trustworthy LLMs

In this episode of The Cisco AI Insights Podcast, hosts Rafael Herrera and Sónia Marques are joined by Cisco’s Technical Leader in Machine Learning Engineering, Dr. Catarina Carvalho, to explore her pioneering concept of "AI Ergonomics," which frames human engagement as a fundamental design principle for AI development rather than a post-development chore.

The conversation examines the complexities of human-in-the-loop validation, highlighting how moving beyond simple binary feedback like "thumbs up" or "thumbs down" is essential for mitigating bias and ensuring AI systems align with practical human needs and well-being. Dr. Carvalho explains how incorporating cognitive interviews and social motivation can improve data quality, helping developers bridge the gap between model accuracy and user trust in our increasingly non-deterministic generative AI landscape.

Thank you to Dr. Catarina Carvalho for sharing her research and insights on the future of collaborative AI design. If you are interested in exploring her research and the principles behind AI ergonomics, please visit this link: https://github.com/catica/AI_ergonomics/blob/651ab17b3c8ba89d5dcc51ba2ebd1307e7262458/AI_ergonomics_.pdf