An academic-grade journal of artificial intelligence research — peer-reviewed analysis of large language models, machine learning frameworks, and the engineering behind today’s most consequential AI systems.
Introduction: The Imperative of Governing Intelligence The rapid ascent of artificial intelligence, particularly foundation models and generative AI, presents a profound governance challenge for democratic societies. These technologies…
Introduction: Beyond the Algorithmic Black Box The rapid ascent of machine learning (ML) as a dominant paradigm for knowledge generation compels a critical examination of its philosophical underpinnings.…
The intersection of artificial intelligence and social science is no longer a speculative frontier but a rapidly maturing domain of methodological practice. Computational Social Science (CSS), which leverages…
The ascent of large language models (LLMs) has been a defining narrative in artificial intelligence, marked by unprecedented fluency in text generation and a broad, if shallow, grasp…
The rapid advancement of large language models (LLMs) has precipitated a critical challenge in artificial intelligence: how to ensure these powerful systems behave in ways that are safe,…
Introduction: The Convergence of Physical and Digital Industry The evolution of industrial systems has entered a new paradigm, one where the physical and digital realms are not merely…