collaborators

4 papers

cs.HC2026

A Decentralized Frontier AI Architecture Based on Personal Instances, Synthetic Data, and Collective Context Synchronization

Jacek Małecki, Alexander Mathiesen-Ohman, Katarzyna Tworek

Recent progress in artificial intelligence has been driven largely by the scaling of centralized large language models through increased parameters, datasets, and computational res…

q-bio.NC2026

Rogue Variable Theory: A Quantum-Compatible Cognition Framework with a Rosetta Stone Alignment Algorithm

Jacek Małecki, Alexander Mathiesen-Ohman

Many of the most consequential dynamics in human cognition occur \emph{before} events become explicit: before decisions are finalized, emotions are labeled, or meanings stabilize i…

cs.HC2025

Managing Ambiguity: A Proof of Concept of Human-AI Symbiotic Sense-making based on Quantum-Inspired Cognitive Mechanism of Rogue Variable Detection

Agnieszka Bienkowska, Jacek Malecki, Alexander Mathiesen-Ohman +1

Organizations increasingly operate in environments characterized by volatility, uncertainty, complexity, and ambiguity (VUCA), where early indicators of change often emerge as weak…

cs.HC2025

Person-AI Bidirectional Fit - A Proof-Of-Concept Case Study Of Augmented Human-Ai Symbiosis In Management Decision-Making Process

Agnieszka Bieńkowska, Jacek Małecki, Alexander Mathiesen-Ohman +1

This article develops the concept of Person-AI bidirectional fit, defined as the continuously evolving, context-sensitive alignment-primarily cognitive, but also emotional and beha…