Does current AI represent a dead end?
2024-11-06
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In an article by Professor Eerke Boiten, the current state of AI is examined with a focus on its limitations for serious applications. Boiten argues that the foundational issues with AI systems, particularly those based on large neural networks, make them unmanageable and unsuitable for tasks requiring trust and accountability. He highlights the emergent and unpredictable behavior of AI, the lack of verifiable models or transparency, and the challenges in ensuring reliability and compositionality in AI systems. The article suggests that without significant changes, current AI technologies may represent a dead end in terms of achieving responsible and reliable applications.
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