Adaptive Basic Income (AuBI): Integrating AI, Decentralized Infrastructure, and Active Inference

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Citation KeyFriedman2025AdaptiveBasicIncomeAuBI009

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Overview

Extracted from the local paper documentation when available.

This paper introduces Adaptive Basic Income (AuBI), a novel framework that integrates artificial intelligence and decentralized infrastructure to enhance the effectiveness and adaptability of Universal Basic Income (UBI) systems. It proposes a systems engineering toolkit for modeling and deploying next-generation economic frameworks that leverage real-time learning and decentralized governance.

AuBIaugmented intelligencebiological intelligenceActive Inferencecognitive augmentationhuman-AI interaction

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

Introduces the concept of Adaptive Basic Income (AuBI) as a dynamic alternative to traditional UBI.
Proposes a systems engineering toolkit for specifying and modeling economic systems.
Explores the integration of AI and decentralized technologies to improve UBI implementation.
Encourages experimentation and collaboration among policymakers and researchers.

Methods / Techniques

Utilizes active inference theory to inform economic modeling.
Employs decentralized ledger technologies for transparent and tamper-proof infrastructure.
Incorporates predictive analytics to refine UBI interventions based on real-time data.
Adopts a B2B2C model to facilitate the deployment of AuBI systems through various stakeholders.

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2025. Adaptive Basic Income (AuBI): Integrating AI, Decentralized Infrastructure, and Active Inference. Zenodo.

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