Blockchain and AI: Building a Decentralized Green Economy

C 2025

Blockchain and AI: Building a Decentralized Green Economy

CAGÁŇOVÁ, Dagmar and Subhankar DAS

Basic information

Original name

Blockchain and AI: Building a Decentralized Green Economy

Authors

CAGÁŇOVÁ, Dagmar and Subhankar DAS

Edition

1. vyd. Generative AI for A Net Zero Economy: Managing Climate Change and Business Innovation in the Digital Era, p. 75-93, 2025

Other information

Type of outcome

Chapter(s) of a specialized book

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Marked to be transferred to RIV

Organization unit

NEWTON University

ISBN

978-981-96-8014-6

DOI

https://doi.org/10.1007/978-981-96-8015-3_5

Keywords in English

Blockchain Artificial Intelligence Decentralized green economy; Sustainability; Tokenized carbon credits; Environmental governance

Abstract

In the original language

The worsening climate crisis requires new, systemic solutions to go beyond the barriers of localized sustainability models. In this chapter, we will discuss how blockchain and artificial intelligence (AI) can transform the deep relationship between the green economy and a decentralized society in which transparency, efficiency, and equity work in synergy to solve environmental problems. The DGEF represents a radical re-design of the three structural pillars that currently frame energy, urban, and mobility systems by synergizing the immutable ledgers offered by blockchain and the predictive powers of AI: (1) peer-to-peer renewable energy trading facilitated by decentralized grids, (2) AI-audited and blockchain-logged supply chains, and (3) tokenized carbon credits that enable liquid and thus fraud-resistant markets. The chapter leverages computer science, economics, and ecology insights to show how these technologies democratize environmental governance, align economic incentives with ecological outcomes, and advance community resilience. Yet, issues of blockchain’s energy usage, bias in algorithms, and digital divides should be addressed through ethical frameworks and inclusive policies. Based on case studies and theoretical synthesis, the work makes the case that blockchain and AI designed using participatory design can facilitate a just transition to sustainability that marries technological innovation with social equity and planetary boundaries.

Cite

CAGÁŇOVÁ, Dagmar and Subhankar DAS. Blockchain and AI: Building a Decentralized Green Economy. In Subhra R. Mondal, Lukas Vartiak, Subhankar Das. Generative AI for A Net Zero Economy: Managing Climate Change and Business Innovation in the Digital Era. 1st ed. 2025, p. 75-93. ISBN 978-981-96-8014-6. Available from: https://doi.org/10.1007/978-981-96-8015-3_5.

@inbook{476701,
   author = {Cagáňová, Dagmar and Das, Subhankar},
   booktitle = {Generative AI for A Net Zero Economy: Managing Climate Change and Business Innovation in the Digital Era},
   doi = {https://doi.org/10.1007/978-981-96-8015-3_5},
   edition = {1},
   editor = {Subhra R. Mondal, Lukas Vartiak, Subhankar Das},
   keywords = {Blockchain Artificial Intelligence Decentralized green economy; Sustainability; Tokenized carbon credits; Environmental governance},
   isbn = {978-981-96-8014-6},
   pages = {75-93},
   title = {Blockchain and AI: Building a Decentralized Green Economy},
   url = {https://link.springer.com/chapter/10.1007/978-981-96-8015-3_5},
   year = {2025}
}

TY  - CHAP
ID  - 476701
AU  - Cagáňová, Dagmar - Das, Subhankar
PY  - 2025
TI  - Blockchain and AI: Building a Decentralized Green Economy
SN  - 9789819680146
KW  - Blockchain Artificial Intelligence Decentralized green economy
KW  - Sustainability
KW  - Tokenized carbon credits
KW  - Environmental governance
UR  - https://link.springer.com/chapter/10.1007/978-981-96-8015-3_5
N2  - The worsening climate crisis requires new, systemic solutions to go beyond the barriers of localized sustainability models. In this chapter, we will discuss how blockchain and artificial intelligence (AI) can transform the deep relationship between the green economy and a decentralized society in which transparency, efficiency, and equity work in synergy to solve environmental problems. The DGEF represents a radical re-design of the three structural pillars that currently frame energy, urban, and mobility systems by synergizing the immutable ledgers offered by blockchain and the predictive powers of AI: (1) peer-to-peer renewable energy trading facilitated by decentralized grids, (2) AI-audited and blockchain-logged supply chains, and (3) tokenized carbon credits that enable liquid and thus fraud-resistant markets. The chapter leverages computer science, economics, and ecology insights to show how these technologies democratize environmental governance, align economic incentives with ecological outcomes, and advance community resilience. Yet, issues of blockchain’s energy usage, bias in algorithms, and digital divides should be addressed through ethical frameworks and inclusive policies. Based on case studies and theoretical synthesis, the work makes the case that blockchain and AI designed using participatory design can facilitate a just transition to sustainability that marries technological innovation with social equity and planetary boundaries.
ER  -

CAGÁŇOVÁ, Dagmar and Subhankar DAS. Blockchain and AI: Building a Decentralized Green Economy. In Subhra R. Mondal, Lukas Vartiak, Subhankar Das. \textit{Generative AI for A Net Zero Economy: Managing Climate Change and Business Innovation in the Digital Era}. 1st ed. 2025, p.~75-93. ISBN~978-981-96-8014-6. Available from: https://doi.org/10.1007/978-981-96-8015-3\_{}5.

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