Global workspace interpretability connects cognitive science with AI, revealing how neural networks select and broadcast information. It helps researchers debug model decisions, ensuring safer autonomous systems. Developers gain trustworthy AI, while regulators access transparent logic for compliance. This approach benefits industries like healthcare and finance, where understanding AI’s internal reasoning is critical for ethical deployment and user confidence.
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