"Designing AI that Supports Human Thinking" : Hari Subramonyam | Synthetic Minds Podcast скачать в хорошем качестве

"Designing AI that Supports Human Thinking" : Hari Subramonyam | Synthetic Minds Podcast

In this episode of Synthetic Minds, we sit down with Hari Subramonyam, Assistant Professor at Stanford’s Graduate School of Education, Faculty Fellow at the Institute for Human-Centered AI (HAI), and core member of Stanford HCI. Hari’s research lives at the intersection of Human-Computer Interaction and the Learning Sciences. His central question: how can AI augment human learning without diminishing human cognition? We explore what AI actually is beyond the hype, the difference between UX and UI, and why prompting large language models feels like “guessing in the dark.” Hari explains Norman’s Gulfs of Execution and Evaluation, introduces the “Gulf of Envisioning,” and breaks down why conversational AI can be a terrible interface for writing. The conversation dives into constructivist learning, co-creating AI across disciplines, the risks of losing originality in a generative world, and whether AGI is a meaningful aspiration or just a technical obsession. At its core, this episode asks a deeper question: Are we building AI to replace human thinking? or to elevate it? If you care about education, cognition, design, and keeping humans at the center of intelligent systems, this one’s for you. 🎙 Hosted by Farouk Ramzan 🎬 Edited by Kisaan Ramzan Ishan -   / ishandvn   Farouk -   / faroukramzan   Kisaan -   / kisaan-ramzan-966011393   #artificialintelligence #podcast #stanforduniversity