
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.
Behavioral economics, artificial intelligence, sustainable development, predictive modeling, cognitive biases, green consumption, environmental decisionmaking, SDGs.
Behavioral economics, artificial intelligence, sustainable development, predictive modeling, cognitive biases, green consumption, environmental decisionmaking, SDGs.
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