De Kai: Raising AI

De Kai: Raising AI

Author: Helen and Dave Edwards September 21, 2025 Duration: 54:57

In this conversation, we explore how humans can better navigate the AI era with De Kai, pioneering researcher who built the web's first machine translation systems and whose work spawned Google Translate. Drawing on four decades of AI research experience, De Kai offers a different framework for understanding our relationship with artificial intelligence—moving beyond outdated metaphors toward more constructive approaches.

De Kai's perspective was shaped by observing how AI technologies are being deployed in ways that increase rather than decrease human understanding. While AI has tremendous potential to help people communicate across cultural and linguistic differences—as his translation work demonstrated—current implementations often amplify polarization and misunderstanding instead.

Key themes we explore:

  • Beyond Machine Metaphors: Why thinking of AI as "tools" or "machines" is dangerously outdated—AI systems are fundamentally artificial psychological entities that learn, adapt, and influence human behavior in ways no coffee maker ever could
  • The Parenting Framework: De Kai's central insight that we're all currently "parenting" roughly 100 artificial intelligences daily through our smartphones, tablets, and devices—AIs that are watching, learning, and imitating our attitudes, behaviors, and belief systems
  • System One vs. System Two Intelligence: How current large language models operate primarily through "artificial autism"—brilliant pattern matching without the reflective, critical thinking capacities that characterize mature human intelligence
  • Translation as Understanding: Moving beyond simple language translation toward what De Kai calls a "translation mindset"—using AI to help humans understand different cultural framings and perspectives rather than enforcing singular universal truths
  • The Reframing Superpower: How AI's capacity for rapid perspective-shifting and metaphorical reasoning represents one of humanity's best hopes for breaking out of polarized narratives and finding common ground
  • Social Fabric Transformation: Understanding how 800 billion artificial minds embedded in our social networks are already reshaping how cultures and civilizations evolve—often in ways that increase rather than decrease mutual understanding


Drawing on insights from developmental psychology and complex systems, De Kai's "Raising AI" framework emphasizes conscious human responsibility in shaping how these artificial minds develop. Rather than viewing this as an overwhelming burden, he frames it as an opportunity for humans to become more intentional about the values and behaviors they model—both for AI systems and for each other.

About De Kai: De Kai is Professor of Computer Science and Engineering at HKUST and Distinguished Research Scholar at Berkeley’s International Computer Science Institute. He is Independent Director of AI ethics think tank The Future Society, and was one of eight inaugural members of Google’s AI ethics council. De Kai invented and built the world’s first global-scale online language translator that spawned Google Translate, Yahoo Translate, and Microsoft Bing Translator. For his pioneering contributions in AI, natural language processing, and machine learning, De Kai was honored by the Association for Computational Linguistics as one of only seventeen Founding Fellows and by Debrett’s as one of the 100 most influential figures of Hong Kong.


Hosted by Helen and Dave Edwards, Stay Human, from the Artificiality Institute is a conversation that lives in the messy, human space between our tools and our selves. Each episode digs into the subtle ways artificial intelligence is reshaping our daily decisions, our creative impulses, and even our sense of identity. This isn't a technical manual or a series of futuristic predictions; it's a grounded exploration of how we maintain our agency in a world increasingly mediated by algorithms. The podcast operates from a core belief: that our engagement with AI should be about more than just safety or efficiency-it needs to be meaningful and worthwhile. You'll hear discussions rooted in story-based research, where complex ideas about cognition and ethics are unpacked through relatable narratives and real-world examples. The goal is to provide a framework for thoughtful choice, helping each of us consciously design the relationship we want with the machines in our lives. Tuning in offers a chance to step back from the hype and consider how we can actively remain the authors of our own minds, preserving what makes us uniquely human even as the technology evolves. It's an essential listen for anyone curious about the personal and philosophical dimensions of our digital age.
Author: Language: en-us Episodes: 100

Stay Human, from the Artificiality Institute
Podcast Episodes
Angel Acosta: Contemplation, Healing, and AI [not-audio_url] [/not-audio_url]

Duration: 43:22
We’re excited to welcome to the podcast Dr. Angel Acosta, an expert on healing-centered education and leadership. Angel runs the Acosta Institute which helps communities process trauma and build environments for people t…
Doug Belshaw: Serendipity Surface & AI [not-audio_url] [/not-audio_url]

Duration: 45:28
We're excited to welcome Doug Belshaw to the show today. Doug is a founding member of the We Are Open Co-op which helps organizations with sensemaking and digital transformation. Doug coined the term "serendipity surface…
Richard Kerris of NVIDIA: AI, Creators, and Developers [not-audio_url] [/not-audio_url]

Duration: 50:07
We’re excited to welcome Richard Kerris, Vice President of Developer Relations and GM of Media & Entertainment at NVIDIA, to the show today. Richard has had an extensive career working with creators and developers across…
Tyler Marghetis: The Leaps of Human Imagination [not-audio_url] [/not-audio_url]

Duration: 50:42
We're excited to welcome Tyler Marghetis, Assistant Professor of Cognitive & Information Sciences at the University of California, Merced, to the show today. Tyler studies what he calls the "lulls and leaps" or "ruts and…
James Evans: Scientific Progress [not-audio_url] [/not-audio_url]

Duration: 1:02:33
Why is scientific progress slowing down? That's a question that's been on the minds of many. But before we dive into that, let's ponder this—how do we even know that scientific progress is decelerating? And in an era whe…
Ed Sim: AI Venture Capital [not-audio_url] [/not-audio_url]

Duration: 50:28
Few understand how to anticipate major technology shifts in the enterprise better than today's guest, Ed Sim. Ed is a pioneer in the world of venture capital, specifically focusing on enterprise software and infrastructu…
Rodrigo Liang: SambaNova and Generative AI in the Enterprise [not-audio_url] [/not-audio_url]

Duration: 56:53
One of our research obsessions is Edge AI through which we study opportunities to build and deploy AI on a computing device at the edge of a network. The premise is that AI in the cloud benefits from scale but is challen…
Best of: Barbara Tversky & Spacial Cognition [not-audio_url] [/not-audio_url]

Duration: 1:06:19
One of our long-time subscribers recently said to us: “What I love about you is that you’re regularly talking about things three years ahead of everyone else.” That inspired us to look back through our catalog of convers…
Stephen Fleming: Consciousness and AI [not-audio_url] [/not-audio_url]

Duration: 1:02:01
In this episode, we speak with cognitive neuroscientist Stephen Fleming about theories of consciousness and how they relate to artificial intelligence. We discuss key concepts like global workspace theory, higher order t…
Steven Sloman: LLMs and Deliberative Reasoning [not-audio_url] [/not-audio_url]

Duration: 1:01:06
If you’ve used a large language model, you’ve likely had one or more moments of amazement as the tool immediately responded with impressive content from its massive data cosmos training set. But you’ve likely also had mo…