Leveraging artificial intelligence to meet the sustainable development goals

• Authors: Ewa Wanda Ziemba , Cong Doanh Duong , Joanna Ejdys , Maria Alejandra Gonzalez-Perez , Ruta Kazlauskaitė , Pawel Korzynski , Grzegorz Mazurek , Joanna Paliszkiewicz , Jelena Stankevičienė , Krzysztof Wach

Abstracts

EN

Aim/purpose – This study aims to identify the role of Artificial Intelligence (AI) in achieving the Sustainable Development Goals (SDGs), with specific reference to their targets, and to present good practices in this regard. Design/methodology/approach – This study adopts qualitative research based on an integrative literature review encompassing five stages: problem identification, literature search, data evaluation, data analysis, and presentation of findings. Findings – This study presents a framework for leveraging AI to achieve SDGs. It details the role of AI in achieving each SDG, identifies the best practices for using AI to achieve these goals, and recommends the main steps for systematically deploying AI to achieve SDGs. Research implications/limitations – The presented findings reflect the authors’ perspective on the role of AI in achieving SDGs based on an integrative literature review, which may have overlooked some literature on AI’s impact on individual SDGs or lacked published evidence on such interlinkages. Originality/value/contribution – This study contributes to the existing body of knowledge by providing a comprehensive framework for leveraging AI to achieve the SDGs. It systematically identifies and details the role of AI in advancing each SDG, highlights best practices for deploying AI effectively, and recommends steps for integrating AI into SDG initiatives. The study’s value lies in its ability to guide policymakers, researchers, and practitioners in harnessing AI’s potential to address critical global challenges while highlighting the need for careful consideration of potential limitations and gaps in the existing literature.

Keywords

EN

sustainable development; SDGs; Agenda 2030; Artificial Intelligence; AI

• Publisher: Uniwersytet Ekonomiczny w Katowicach
• Journal: Journal of Economics and Management
• Year: 2024
• Volume: 46
• Pages: 508-583

Dates

published

2024

Contributors

author

Ewa Wanda Ziemba

• University of Economics in Katowice, Poland

• https://orcid.org/0000000210847497

author

Cong Doanh Duong

• National Economics University in Hanoi, Viet Nam

• https://orcid.org/0000000344319761

author

Joanna Ejdys

• Bialystok University of Technology, Poland

• https://orcid.org/000000025132166X

author

Maria Alejandra Gonzalez-Perez

• Universidad EAFIT, Colombia

• https://orcid.org/0000000163384281

author

Ruta Kazlauskaitė

• ISM University of Management and Economics, Lithuania

• https://orcid.org/0000000340040106

author

Pawel Korzynski

• Kozminski University, Poland

• https://orcid.org/0000000264574965

author

Grzegorz Mazurek

• Kozminski University, Poland

• https://orcid.org/0000000200476944

author

Joanna Paliszkiewicz

• Warsaw University of Life Sciences, Poland

• https://orcid.org/0000000262500583

author

Jelena Stankevičienė

• Vilnius University, Lithuania

• https://orcid.org/0000000256005842

author

Krzysztof Wach

• Krakow University of Economics, Poland

• https://orcid.org/0000000175422863

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Identifiers

DOI

10.22367/jem.2024.46.19

Biblioteka Nauki

57065160