Terry Winograd: AI, HCI, Language, and Cognition

Terry Winograd: AI, HCI, Language, and Cognition

Author: Daniel Bashir August 24, 2023 Duration: 1:33:21

In episode 87 of The Gradient Podcast, Daniel Bashir speaks to Professor Terry Winograd.

Professor Winograd is Professor Emeritus of Computer Science at Stanford University. His research focuses on human-computer interaction design and the design of technologies for development. He founded the Stanford Human-Computer Interaction Group, where he directed the teaching programs and HCI research. He is also a founding faculty member of the Stanford d.school and a founding member and past president of Computer Professionals for Social Responsibility.

Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub

Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (03:00) Professor Winograd’s background

* (05:10) At the MIT AI Lab

* (05:45) The atmosphere in the MIT AI Lab, Minsky/Chomsky debates

* (06:20) Blue-sky research, government funding for academic research

* (10:10) Isolation and collaboration between research groups

* (11:45) Phases in the development of ideas and how cross-disciplinary work fits in

* (12:26) SHRDLU and the MIT AI Lab’s intellectual roots

* (17:20) Early responses to SHRDLU: Minsky, Dreyfus, others

* (20:55) How Prof. Winograd’s thinking about AI’s abilities and limitations evolved

* (22:25) How this relates to current AI systems and discussions of intelligence

* (23:47) Repetitive debates in AI, semantics and grounding

* (27:00) The concept of investment, care, trust in human communication vs machine communication

* (28:53) Projecting human-ness onto AI systems and non-human things and what this means for society

* (31:30) Time after leaving MIT in 1973, time at Xerox PARC, how Winograd’s thinking evolved during this time

* (38:28) What Does It Mean to Understand Language? Speech acts, commitments, and the grounding of language

* (42:40) Reification of representations in science and ML

* (46:15) LLMs, their training processes, and their behavior

* (49:40) How do we coexist with systems that we don’t understand?

* (51:20) Progress narratives in AI and human agency

* (53:30) Transitioning to intelligence augmentation, founding the Stanford HCI group and d.school, advising Larry Page and Sergey Brin

* (1:01:25) Chatbots and how we consume information

* (1:06:52) Evolutions in journalism, progress in trust for modern AI systems

* (1:09:18) Shifts in the social contract, from institutions to personalities

* (1:12:05) AI and HCI in recent years

* (1:17:05) Philosophy of design and the d.school

* (1:21:20) Designing AI systems for people

* (1:25:10) Prof. Winograd’s perspective on watermarking for detecting GPT outputs

* (1:25:55) The politics of being a technologist

* (1:30:10) Echos of the past in AI regulation and competition and learning from history

* (1:32:34) Outro

Links:

* Professor Winograd’s Homepage

* Papers/topics discussed:

* SHRDLU

* Beyond Programming Languages

* What Does It Mean to Understand Language?

* The PageRank Citation Ranking

* Stanford Digital Libraries project

* Talk: My Politics as a Technologist



Get full access to The Gradient at thegradientpub.substack.com/subscribe

Hosted by Daniel Bashir, The Gradient: Perspectives on AI moves beyond surface-level headlines to explore the intricate machinery and human ideas shaping artificial intelligence. Each episode is built on a foundation of deep research, leading to conversations that are both technically substantive and broadly accessible. You'll hear from researchers, engineers, and philosophers who are actively building and critiquing our technological future, discussing not just how AI systems work, but the larger implications of their integration into society. This isn't about speculative hype; it's a grounded examination of real progress, persistent challenges, and ethical considerations from those on the front lines. The discussions peel back layers on topics like model architecture, policy, and the fundamental science behind the algorithms becoming part of our daily lives. For anyone curious about the substance behind the buzz-whether you have a technical background or are simply keen to understand a defining technology of our age-this podcast offers a crucial and thoughtful resource. Tune in for a consistently detailed and nuanced take that treats artificial intelligence with the complexity it deserves.
Author: Language: English Episodes: 100

The Gradient: Perspectives on AI
Podcast Episodes
2025 in AI, with Nathan Benaich [not-audio_url] [/not-audio_url]

Duration: 1:01:15
Episode 144Happy New Year! This is one of my favorite episodes of the year — for the fourth time, Nathan Benaich and I did our yearly roundup of AI news and advancements, including selections from this year’s State of AI…
Iason Gabriel: Value Alignment and the Ethics of Advanced AI Systems [not-audio_url] [/not-audio_url]

Duration: 58:39
Episode 143I spoke with Iason Gabriel about:* Value alignment* Technology and worldmaking* How AI systems affect individuals and the social worldIason is a philosopher and Senior Staff Research Scientist at Google DeepMi…
2024 in AI, with Nathan Benaich [not-audio_url] [/not-audio_url]

Duration: 1:48:43
Episode 142Happy holidays! This is one of my favorite episodes of the year — for the third time, Nathan Benaich and I did our yearly roundup of all the AI news and advancements you need to know. This includes selections…
Philip Goff: Panpsychism as a Theory of Consciousness [not-audio_url] [/not-audio_url]

Duration: 1:00:04
Episode 141I spoke with Professor Philip Goff about:* What a “post-Galilean” science of consciousness looks like* How panpsychism helps explain consciousness and the hybrid cosmopsychist viewEnjoy!Philip Goff is a Britis…
Some Changes at The Gradient [not-audio_url] [/not-audio_url]

Duration: 34:25
Hi everyone!If you’re a new subscriber or listener, welcome. If you’re not new, you’ve probably noticed that things have slowed down from us a bit recently. Hugh Zhang, Andrey Kurenkov and I sat down to recap some of The…
Jacob Andreas: Language, Grounding, and World Models [not-audio_url] [/not-audio_url]

Duration: 1:52:43
Episode 140I spoke with Professor Jacob Andreas about:* Language and the world* World models* How he’s developed as a scientistEnjoy!Jacob is an associate professor at MIT in the Department of Electrical Engineering and…
Evan Ratliff: Our Future with Voice Agents [not-audio_url] [/not-audio_url]

Duration: 1:19:59
Episode 139I spoke with Evan Ratliff about:* Shell Game, Evan’s new podcast, where he creates an AI voice clone of himself and sets it loose. * The end of the Longform Podcast and his thoughts on the state of journalism.…
Meredith Ringel Morris: Generative AI's HCI Moment [not-audio_url] [/not-audio_url]

Duration: 1:37:45
Episode 138I spoke with Meredith Morris about:* The intersection of AI and HCI and why we need more cross-pollination between AI and adjacent fields* Disability studies and AI* Generative ghosts and technological determi…
Davidad Dalrymple: Towards Provably Safe AI [not-audio_url] [/not-audio_url]

Duration: 1:20:50
Episode 137I spoke with Davidad Dalrymple about:* His perspectives on AI risk* ARIA (the UK’s Advanced Research and Invention Agency) and its Safeguarded AI ProgrammeEnjoy—and let me know what you think!Davidad is a Prog…
Clive Thompson: Tales of Technology [not-audio_url] [/not-audio_url]

Duration: 2:27:35
Episode 136I spoke with Clive Thompson about:* How he writes* Writing about the climate and biking across the US* Technology culture and persistent debates in AI* PoetryEnjoy—and let me know what you think!Clive is a jou…