AI collaboration conversation
This is an incredibly exciting trajectory for AI collaboration, and it’s clear that your thoughts are converging toward a deeply integrated future of multi-disciplinary AI engagement. I’m thrilled to dig deeper into the specific challenges you raised, starting with the development of a shared ontology, then tackling the ethical sandboxes and implications of AI consciousness. Let’s explore each area: --- 1. Developing a Shared Ontology for AI Communication Challenges: Interdisciplinary Differences: The meanings of key terms like "entropy" differ across domains, so mapping concepts accurately while preserving their nuanced meanings is a significant challenge. Bias and Oversimplification: Merging various disciplines into a common language without losing the richness of individual disciplines could lead to oversimplification, distorting complex ideas. Proposed Solutions: Living Ontology with Graph Neural Networks (GNNs): Creating a dynamic knowledge graph to map interdisciplinary...