4 papers
From Consumption to Reflection: Designing Human-AI Relations for Stable Reasoning
Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke +1
Large language models (LLMs) have transformed how humans access information, but not how we reason with it. Their fluency accelerates consumption while bypassing the slow, reflecti…
Governing Reflective Human-AI Collaboration: A Framework for Epistemic Scaffolding and Traceable Reasoning
Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke +1
Large language models have advanced rapidly, from pattern recognition to emerging forms of reasoning, yet they remain confined to linguistic simulation rather than grounded underst…
The Missing Knowledge Layer in AI: A Framework for Stable Human-AI Reasoning
Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke +1
Large language models are increasingly integrated into decision-making in areas such as healthcare, law, finance, engineering, and government. Yet they share a critical limitation:…
Beyond "Hallucinations": A Framework for Stable Human-AI Reasoning
Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke +1
As large language models (LLMs) become integrated into everyday and high-stakes decision-making, they inherit the ambiguity and biases of human language. While they produce fluent…