The Future of Behavioral Economics and AI in Sustainable Development

Abstract This study examines how behavioral economics and artificial intelligence can be used together to address the problem of sustainable development with a transformative potential. Combining the knowledge of human decision-making and the predictive and analytical abilities of AI, other approaches to developing effective interventions that facilitate sustainable practices in the realms of personality, organization, and policy were proposed. The study addresses the question on how AI-based systems can enhance behavior nudges, maximize economic incentives and overcome cognitive biases that hinder sustainable decision-making. This is based on the use of case studies and theoretical models, emphasis on ethical aspects, limitations on implementation, and the future of this multidisciplinary field. This analysis demonstrates that such a combination can accelerate the progress of achievement of the United Nations Sustainable Development Goals as well as offer equitable and clear solutions that respect human autonomy.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-03
DOI
https://doi.org/10.5281/zenodo.18851874
Primary Topic
Innovation, Sustainability, Human-Machine Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Future of Behavioral Economics and AI in Sustainable Development

Durgeshwary Kolhe, Arshad Bhat
Zenodo (CERN European Organization for Nuclear Research)
Innovation, Sustainability, Human-Machine Systems
article

The Future of Behavioral Economics and AI in Sustainable Development

Durgeshwary Kolhe, Arshad Bhat
article en

Abstract

Abstract This study examines how behavioral economics and artificial intelligence can be used together to address the problem of sustainable development with a transformative potential. Combining the knowledge of human decision-making and the predictive and analytical abilities of AI, other approaches to developing effective interventions that facilitate sustainable practices in the realms of personality, organization, and policy were proposed. The study addresses the question on how AI-based systems can enhance behavior nudges, maximize economic incentives and overcome cognitive biases that hinder sustainable decision-making. This is based on the use of case studies and theoretical models, emphasis on ethical aspects, limitations on implementation, and the future of this multidisciplinary field. This analysis demonstrates that such a combination can accelerate the progress of achievement of the United Nations Sustainable Development Goals as well as offer equitable and clear solutions that respect human autonomy.

Zenodo (CERN European Organization for Nuclear Research)
MIT Art, Design and Technology University (IN)
Openalex Percentile: Top 43%
Innovation, Sustainability, Human-Machine Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Future of Behavioral Economics and AI in Sustainable Development — Durgeshwary Kolhe, Arshad Bhat · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS