Amazon announced 70 research award recipients from 49 universities across 11 countries receiving funding for projects in AI for information security, agentic AI, automated reasoning, cryptography, cybersecurity, and sustainability. The fall 2025 cycle distributed unrestricted funds and AWS promotional credits across 6 research call categories, with recipients gaining access to over 700 Amazon datasets and AWS AI/ML services. Award winners will conduct research intended to advance threat detection, AI safety, formal verification, and other technical challenges, with Amazon providing research contacts and encouraging publication of results.
Researchers argue that modern AI systems work by extending structures rooted in human cognition rather than replicating human intelligence, which explains both their capabilities like text generation and their limitations like hallucinations and compositional reasoning failures. The paper draws on phenomenology to show that language contains sedimented human understanding that AI systems learn to model, but unlike humans, AI systems lack grounded engagement with the world and cannot continually correct their expectations against reality. This perspective reframes AI safety as a system-level challenge requiring layered governance and human oversight rather than fears of autonomous superintelligence, with responsible deployment depending on treating AI as a human-governed extension rather than as an independent mind.
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