- Amplifying Cognition with Ross Dawson
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- AI governance for transformation, HCI for AGI, service robots, collective intelligence compilation, and more
AI governance for transformation, HCI for AGI, service robots, collective intelligence compilation, and more
"Between stimulus and response, there is a space. In that space is our power to choose our response. In our response lies our growth and our freedom."— Viktor Frankl
AI Governance for Transformation and collective intelligence
The rapid pace, powerful implications, and regulatory uncertainty around AI means it requires strong governance. Yet that governance must enable transformation. I share my AI Governance for Transformation framework below.
We are fortunate to have had some of the world’s leaders in collective intelligence on the Amplifying Cognition podcast. Listen to this week’s Collective Intelligence Compilation for a smorgasbord of the best on the topic.
Be well!
Ross
📖In this issue
Framework: AI Governance for Transformation
Human-Computer Interaction for Artificial General Intelligence
Chain-of-Draft learns from and informs human cognitive processes
Japan is the Petri dish for the rise of service robots
Podcast: Collective Intelligence Compilation
💡Framework: AI Governance for Transformation
My mantra of "Governance for Transformation" emphasizes that governance is essential but must enable—not slow—organizational change. This framework covers both core compliance issues but also actively focuses on guiding AI deployment to maximize value. I have found it valuable in board and executive sessions in balancing and integrating governance rigor with AI’s positive potential.
🧠🤖Humans + AI
Human-Computer Interaction for Artificial General Intelligence
Many AI leaders suggest Artificial General Intelligence could arrive within years. It is a high priority to consider design for Human Computer Interaction (specifically Human-AGI Interaction (HAGII, perhaps? 😀)).
Meredith Morris, Principal Scientist for Human-AI Research at Google DeepMind, has just published a very interesting paper on the macro issues.
Chain-of-Draft learns from and informs human cognitive processes
After Chain-of-Thought and its successors comes Chain-of-Draft. This is inspired by human cognitive processes, which typically use very concise concepts as thinking steps. The result is efficiency improvements of up to 13x and latency reduction of 76& while maintaining quality similar to Chain-of-Thought.
Japan is the Petri dish for the rise of service robots
Japan is the Petri dish for widespread introduction of service robots. Shrinking population, limited immigration, ultra-low unemployment, and cultural openness to robots are leading to a massive rise in service robots.
🎙️This week’s podcast episode
Collective Intelligence Compilation |
Why you should listen
Collective intelligence is arguably at the center of the future of humanity. These four guests are each global leaders in the space. The excerpts from their appearances on the Amplifying Cognition podcast together provide a valuable framing of the potential and how to get there.
Thanks for reading!
Ross Dawson and team