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Resolving the AI Explainability Problem: An AWE-Based Approach

The AI Explainability Problem challenges us to make complex AI systems understandable to humans. At first glance, it seems straightforward: we just want to know why a system made a particular decision. But when we dig deeper, we realize this problem is rooted in mistaken assumptions about cognition, both human and artificial. It’s not just…

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Solving the Symbol Grounding Problem: A Contextual Approach to Meaning

I.The Symbol Grounding Problem questions how abstract symbols gain real meaning. We rely on language, codes, and signs, but how do those symbols connect with actual experience? Without a direct link, words risk floating as mere placeholders, empty of substance. This challenge extends to artificial intelligence and daily human communication alike. When we say “chair,”…