arXiv AI By J. E. Aguilera Briones

Definitional alignment before capability alignment: a Design-Science framework for adjudicating claims about AGI

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arXiv:2606. 12713v1 Announce Type: new Abstract: Claims that artificial general intelligence has already arrived and claims that it remains decades away are often defended from overlapping evidence.

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arXiv AI
Aug 25

Why we need an AI-resilient society- Profiling Large Language Models

The article discusses the evolution of AI across three generations—from explicit logic to neural networks to large language models (LLMs)—and how LLMs introduce new systemic risks. It applies a forensic‑psychology profiling method to identify ten key features of LLMs, such as hallucinations, bias, and cognitive atrophy, revealing an entity that confabulates, amplifies user biases, and erodes human competence. The report concludes with a four‑pillar framework for AI resilience, emphasizing cognitive sovereignty, measurable control, partial autonomy, and openness to safeguard society.

By Thomas Bartz-Beielstein, Eva Bartz
arXiv AI
Jul 22

Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft

arXiv:2607. 18483v1 Announce Type: cross Abstract: The digital substrate of states -- data, algorithms, infrastructure, platforms, applications -- is being governed without adequate conceptual foundations.

By Zeynep Engin, Tim Gordon, Viviana Bastidas, Tom Crick, Jon Crowcroft, Jean-Martin Denis, David J. Hand, Lauren Maffeo, Jakob M\"okander, Irene Ng, Anastasija Nikiforova, Giulio Quaggiotto, David Uriel Socol de la Osa, Rhonda Syler, Philip Treleaven, Stefaan Verhulst