Work

Sustainable Development Projects Implementing in BANI Environment Based on AI Tools

Year: 2025

Type: article

Abstract: This study proposes a conceptual framework for applying artificial intelligence (AI) to sustainable development projects, emphasizing its role in mitigating risks, enhancing flexibility, and fostering resilience. A case study analysis demonstrates the practical application of AI tools in optimizing project outcomes while aligning with global sustainability goals. The findings underscore the transformative potential of AI in enabling sustainable practices and achieving long-term success in the BANI (brittle, anxious, nonlinear, incomprehensible) environment. This research contributes to the growing discourse on digital transformation and sustainability by presenting actionable strategies for project managers and stakeholders. To highlight this study’s quantitative findings, key numerical estimates derived from the case study and model validation have been incorporated into the abstract, showcasing AI’s measurable impact on project resilience, efficiency, and stakeholder confidence.

Source: Sustainability

DOI: 10.3390/su17062607

Authors: Sergey Bushuyev, Igor Chumachenko, Andrii Galkin, Denis Bushuiev, Nataliia Dotsenko

Institutions: Kyiv National University of Construction and Architecture, O.M. Beketov National University of Urban Economy in Kharkiv, University of Antwerp

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Climate action

Open Access status: gold

Estimated APC paid: $2,896