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#consciousness News & Analysis

4 articles tagged with #consciousness. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles
AINeutralarXiv – CS AI · Mar 57/10
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Synthetic emotions and consciousness: exploring architectural boundaries

Researchers propose an architectural framework for implementing emotion-like AI systems while deliberately avoiding features associated with consciousness. The study introduces risk-reduction constraints and engineering principles to create sophisticated emotional AI without triggering consciousness-related safety concerns.

AINeutralarXiv – CS AI · Feb 277/107
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A Mind Cannot Be Smeared Across Time

A new academic paper proposes that machine consciousness requires simultaneous computation rather than sequential processing. The research introduces 'Stack Theory' with temporal semantics, arguing that conscious unity depends on objective co-instantiation of mental processes within specific time windows, potentially making software consciousness impossible on purely sequential computer architectures.

AINeutralarXiv – CS AI · May 275/10
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The Sensation Modulating Network:Haltability as the architectural ground for object-directed phenomenology

This arXiv paper proposes the Sensation Modulating Network (SMN), a theoretical cognitive architecture that attempts to bridge the long-standing divide between cognitivism and embodied cognition approaches. The framework grounds meaning-making in the body's opponent dynamics and hierarchical action patterns, offering a novel perspective on how agents achieve intentional directedness without requiring additional computational modules.

AINeutralarXiv – CS AI · Mar 37/106
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The Sentience Readiness Index: Measuring National Preparedness for the Possibility of Artificial Sentience

Researchers have created the Sentience Readiness Index (SRI) to measure how prepared 31 countries are for the possibility of AI achieving consciousness. No nation scored above 'Partially Prepared,' with the UK leading at 49/100, revealing significant gaps in institutional, professional, and cultural infrastructure needed to handle potentially sentient AI systems.