Publikationen zur Regenerativen KI

Entdecken Sie grundlegende Forschungsarbeiten, Whitepaper und wissenschaftliche Frameworks, die die nächste Generation der Regenerativen KI definieren. Erkunden Sie Closed-Loop-Architekturen, Cognitive Alignment, adaptive Entscheidungssysteme und governancefähige Modelle, die für das Zeitalter des EU AI Act entwickelt wurden.

Regen-5 Rahmenwerk: Grundlagen der Regenerativen KI

This working paper introduces the Regen-5 Framework, the first unified scientific architecture for Regenerative Artificial Intelligence. Authored by Aleksandra Pinar (ORCID: 0009-0001-1135-7801), the framework defines a new field of AI research dedicated to decision-making in wicked, complex, and value-conflicted socio-technical systems.

The Regen-5 Framework consists of three core components:

CARES — Cognitive Alignment & Regenerative Systems
RADA — Regenerative Argumentation & Deliberation Architecture
CRDP — Continuous Regenerative Decision Process

Regen-5 Rahmenwerk: Grundlagen der Regenerativen KI

Regenerative Künstliche Intelligenz:
A Closed-Loop Architecture for Governance, Alignment, and Adaptive Decision Ecosystems

This white paper defines Regenerative Artificial Intelligence (Regen-AI) as a closed-loop, cognitively aligned, and governance-ready architecture designed for complex, high-risk environments. It introduces a unified framework — including Regen-5, RMC, RADA, CRDP, and CAL — that enables continuous sensing, adaptive reasoning, temporal coherence, and compliance with the EU AI Act. Regenerative AI represents the next generation of responsible, transparent, and resilient decision systems.