computational functionalism ↔ artificial intelligence

Relations (1)

related 2.32 — strongly supporting 3 facts

Computational functionalism serves as a foundational theoretical framework for evaluating consciousness in artificial intelligence, as evidenced by its role in supporting the possibility of machine consciousness [1], [2] and its application in research evaluating AI models for signatures of consciousness [3]. Furthermore, it is identified as a primary philosophical path for arguing that artificial intelligence can achieve conscious states [4].

Facts (3)

Sources

AI Sessions #9: The Case Against AI Consciousness (with Anil Seth) conspicuouscognition.com Conspicuous Cognition 2 facts

referencePatrick Butlin, Robert Long, and colleagues authored a paper that evaluates AI models for signatures of theories of consciousness, such as global workspace or higher-order representations, by explicitly assuming computational functionalism.

claimHenry Shevlin asserts that while computational functionalism is one path to concluding that AI can be conscious, there are other types of functionalism that also support this conclusion.

Unknown source 1 fact

claimAccording to the theory of computational functionalism, consciousness in artificial intelligence systems built on conventional hardware is possible in principle, provided that certain unspecified assumptions are met.