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Artificial intelligence and sustainable development
Abstract
Abstract Artificial intelligence (AI) is rapidly opening up a new frontier in the fields of business, corporate practices, and governmental policy. The intelligence of machines and robotics with deep learning capabilities have created profound disrupting and enabling impacts on business, governments, and society. They are also influencing the larger trends in global sustainability. As the AI revolution transforms our world, it could herald a utopian future where humanity co-exists harmoniously with machines, or portend a dystopian world filled with conflict, poverty and suffering. More immediately, would AI accelerate our progress on the United Nations (UN) Sustainable Development Goals (SDGs) or bring us further down the path toward greater economic uncertainty, environmental collapse, and social upheaval? What are some of the implications for business leadership and the education of future business leaders? This article aims to address these questions by analyzing the impacts of AI in three case studies. It draws some preliminary inferences for management education and the business of leading corporations in the midst of rapid technological and social change. This study combines the perspectives of business strategy and public policy to analyze the impacts of AI on sustainable development with a specific focus on the advancement of the SDGs. It also draws some lessons on managerial learning and leadership development for global sustainability.
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Citations
Cited by
Xiang, X., Li, Q., Khan, S., & Khalaf, O. I. (2021) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2020.106515 · Cited by 533
Artificial intelligence and business strategy towards digital transformation: A research agenda
Kitsios, F., & Kamariotou, M. (2021) · Sustainability · doi:10.3390/su13042025 · Cited by 360
“[18] 2020 x x Liu [19] 2013 x x Arnott [20] 2010 x x Goralski and Tan [21] 2020 x Nalchigar and Yu [22] 2017 x x x Dąbrowski [23] 2017 x x Ghasemaghaei [24] 2019 x Lei and Wang [25] 2020 x Ashrafi et al.”
BackgroundMethodYigitcanlar, T., Mehmood, R., & Corchado, J. M. (2021) · Sustainability · doi:10.3390/su13168952 · Cited by 319
Palomares, I., Martínez-Cámara, E., Montes, R., García-Moral, P., Chiachio, M., Chiachio, J., Alonso, S., Melero, F. J., Molina, D., Fernández, B., et al. (2021) · Applied Intelligence · doi:10.1007/s10489-021-02264-y · Cited by 276
Deploying artificial intelligence for climate change adaptation
Leal Filho, W., Wall, T., Rui Mucova, S. A., Nagy, G. J., Balogun, A.-L., Luetz, J. M., Ng, A. W., Kovaleva, M., Safiul Azam, F. M., Alves, F., et al. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121662 · Cited by 266
Metadata
- Authors
- Goralski, M. A., & Tan, T. K.
- Venue
- The International Journal of Management Education
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 18
- Issue
- 1
- Pages
- 100330
- ISSN
- 1472-8117 (ISSN-L)
- OpenAlex
- W2985105610
- Cited by
- 750
- References
- 0
- FWCI
- 22.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. The International Journal of Management Education. https://doi.org/10.1016/j.ijme.2019.100330
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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