How AI Systems Think: New Framework Reveals Machine Reasoning Through 'Thought Logging'

This is a Plain English Papers summary of a research paper called How AI Systems Think: New Framework Reveals Machine Reasoning Through 'Thought Logging'. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

• Paper examines interpretability in AI systems through philosophical lens of propositional attitudes

• Introduces concept of "thought logging" as method for understanding AI reasoning

• Links interpretability to classic philosophical problems of meaning and understanding

• Analyzes how we attribute beliefs and reasoning to AI systems

• Proposes new framework for evaluating AI system interpretability

Plain English Explanation

Propositional interpretability looks at how we understand what AI systems are "thinking." Just like we try to understand other humans by assuming they have beliefs and reasons for their ...

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