This White Paper introduces Regenerative Artificial Intelligence (Regen-AI) as a new class of intelligence designed specifically for wicked governance systems—environments characterized by uncertainty, conflicting values, non-linearity, and the need for continuous learning. Regenerative AI departs fundamentally from the static “model-centric” approach of the 2020s and establishes closed-loop, cognitively aligned, and continuously renewing decision ecosystems. <div> <br> </div> <div> At the core of this paradigm is the Regen-5 Framework, a unified architecture developed within the Regen AI Institute. The framework organizes the essential capacities required for adaptive, responsible, and human-aligned AI into five pillars: </div> <div> &nbsp;1. Regenerative Sensing – integrating human, environmental, and computational signals into continuously updated situational awareness&nbsp; </div> <div> 2. Cognitive Alignment – ensuring coherence between human goals, contextual values, and machine reasoning 3. Adaptive Reasoning &amp; Argumentation – enabling models to navigate conflicts, uncertainty, and multi-actor decision environments&nbsp; </div> <div> 4. Temporal Governance – supporting long-horizon reasoning, scenario continuity, and stability across evolving timeframes&nbsp; </div> <div> 5. System Renewal – embedding regenerative feedback loops that allow decisions, models, and processes to learn, self-correct, and improve&nbsp; </div> <div> <br> </div> <div> Together, these pillars form the foundation for a closed-loop decision architecture designed to support the governance challenges of 2026 and beyond. </div>