In this episode, I speak with Dr. Annie Green about AI and how it has and will continue to influence how we work, live, and play.

Key themes: AI literacy • Large language models • Generative AI • AI governance • Digital ethics • Responsible innovation

AI in the late 1980s, starting with rule-based expert systems built in languages like Lisp and Prolog for Fortune 1000 companies and government agencies. Over the decades, my work has evolved from developing expert systems to integrating AI into enterprise applications, advancing through the big-data era, deep learning, and ultimately generative AI.

Later I pioneered approaches that merged knowledge management with AI, providing personalized, knowledge-driven systems. As generative AI and transformers emerged in the late 2010s and 2020s, the focus shifted toward responsible AI, AI ethics, and governance, emphasizing that advancing AI isn’t just about smarter machines—it requires guardrails to ensure alignment with human values. Without governance, AI risks scaling bad decisions at high speed, making ethical oversight essential.

Key themes: AI literacy • Large language models • Generative AI • AI governance • Digital ethics • Responsible innovation

Generative AI isn't just about flashy images, polished essays, or realistic voices. It’s a class of AI systems designed not merely to analyze information but to create new content—text, images, audio, video, 3D models, and even synthetic data. These models learn from massive datasets and use that knowledge to produce original outputs, making them far more than a novelty; they represent a fundamental shift in how knowledge, creativity, and digital content are generated.

Key themes: AI literacy • Large language models • Generative AI • AI governance • Digital ethics • Responsible innovation