"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

What Biological & Social Systems Can Teach us About AI with Nora Ammann, Cofounder of PIBBSS Research

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Dec 7, 2023
Nora Ammann, cofounder and CEO of PIBBSS Research, discusses the fascinating intersection of biology, social systems, and AI. She highlights the importance of interdisciplinary approaches to AI safety and alignment, emphasizing the complexities of ensuring AI systems reflect human intentions. Nora also explores innovative perspectives on intelligence, advocating for AI models that incorporate insights from diverse fields. The conversation delves into the philosophical underpinnings of causality in complex systems, and the unpredictable challenges of navigating the AI revolution.
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INSIGHT

Epistemic Access Problem

  • Future AI systems, especially the most concerning ones, don't exist yet, making direct study difficult.
  • This "epistemic access problem" limits empirical analysis, demanding new approaches to AI safety research.
INSIGHT

Two AI Safety Approaches

  • One approach to AI safety assumes future AI will resemble current systems, focusing on present-day ML.
  • Another approach analyzes idealized rational agents, extrapolating from theoretical models.
INSIGHT

Cross-System Intelligence

  • Intelligent behavior may follow similar principles across systems, regardless of substrate or scale.
  • Studying existing intelligent systems (biological, social) may offer insights into AI.
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