Published April 28, 2025 | Version 1
Journal article Open

Artificial Intelligence use cases adopted by people and their impact on achieving sustainable development goals: a systematic review

  • 1. Department of Civil and Environmental Engineering, Institute of Transportation Planning and Traffic Engineering, Technical University of Darmstadt, Darmstadt, Hessen, 64287, Germany
  • 2. School of Planning, Design and Construction, Michigan State University, East Lansing, Michigan, 48824, USA

Description

Individuals are increasingly integrating Artificial Intelligence (AI) into their lives, adopting various use cases in healthcare, education, urban mobility, and more. AI has the potential to enhance efficiency, well-being, and societal progress, but it also has negative potential associated with ethical challenges, privacy concerns, and social inequality. A significant research gap remains in understanding the impacts of AI use cases adopted by people on SDG achievement. This study addresses that gap through a systematic analysis of whether AI adoption by people supports or hinders progress toward the SDGs. Using the PRISMA framework, we conducted a systematic review of 131 studies. The results show that the overall impact of AI use cases adopted by individuals on the SDGs is moderately positive. These use cases significantly contribute to areas such as healthcare, innovation, and sustainable urban development, yet their effects remain complex and context dependent. While individually adopted AI fosters efficiency and well-being in many domains, concerns about job displacement, biased decision-making, and misinformation highlight the need for responsible deployment. The study emphasizes the importance of ethical AI governance, equitable access, and AI literacy to ensure its positive contribution to sustainable development. Future research should not only empirically evaluate the real-world impacts of AI applications adopted by people from a sustainability perspective but also explore and develop strategies to mitigate negative impacts on progress toward the SDGs while maximizing their positive contributions. This research contributes to the evolving discourse on AI adoption by people and its implications for sustainable development.

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References

  • Albarrán Lozano I, Molina JM, Gijón C (2021). Perception of Artificial Intelligence in Spain. Telemat Inform. doi:10.1016/j.tele.2021.101672
  • Al-Besher A, Kumar K (2022). Use of Artificial Intelligence to enhance e-government services. Measur Sens. doi:10.1016/j.measen.2022.100484
  • Ametepey SO, Aigbavboa C, Thwala WD (2024). The impact of AI in Sustainable Development Goal implementation: a Delphi study. Sustainability. doi:10.3390/su16093858
  • Choi TR, Drumwright ME (2021). "OK, Google, why do I use you?" Motivations, post-consumption evaluations, and perceptions of voice AI assistants. Telemat Inform. doi:10.1016/j.tele.2021.101628
  • Choung H, David P, Ross A (2023). Trust and ethics in AI. AI Soc. doi:10.1007/s00146-022-01473-4
  • Das K, Pattanaik M, Basantia S (2023). Informatics on a social view and need of ethical interventions for wellbeing via interference of Artificial Intelligence. Telemat Inform. doi:10.1016/j.teler.2023.100065
  • Gesk TS, Leyer M (2022). Artificial Intelligence in public services: when and why citizens accept its usage. Gov Inf Q. doi:10.1016/j.giq.2022.101704
  • Goralski MA, Tan TK (2020). Artificial Intelligence and sustainable development. The International Journal of Management Education. doi:10.1016/j.ijme.2019.100330
  • Gosselink BH, Brandt K, Croak M (2024). AI in action: accelerating progress towards the Sustainable Development Goals. doi:10.48550/arXiv.2407.02711
  • Ingram K (2021). Constructing AI: examining how AI is shaped by data, models and people. The International Review of Information Ethics. doi:10.29173/irie415
  • Kinder T, Stenvall J, Koskimies E (2023). Local public services and the ethical deployment of Artificial Intelligence. Gov Inf Q. doi:10.1016/j.giq.2023.101865
  • Kleizen B, Van Dooren W, Verhoest K (2023). Do citizens trust trustworthy artificial intelligence? Experimental evidence on the limits of ethical AI measures in government. Gov Inf Q. doi:10.1016/j.giq.2023.101834
  • Knobloch K, Yoon U, Vogt PM (2011). Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement and publication bias. J Craniomaxillofac Surg. doi:10.1016/j.jcms.2010.11.001
  • König PD (2023). Citizen conceptions of democracy and support for Artificial Intelligence in government and politics. Eur J Polit Res. doi:10.1111/1475-6765.12570
  • Lainjo B (2024). The role of Artificial Intelligence in achieving the United Nations Sustainable Development Goals. J Sustain Dev. doi:10.5539/jsd.v17n5p30
  • Langer M, König CJ, Back C (2023). Trust in Artificial Intelligence: comparing trust processes between human and automated trustees in light of unfair bias. J Bus Psychol. doi:10.1007/s10869-022-09829-9
  • Liang Y, Lee SA (2017). Fear of autonomous robots and Artificial Intelligence: evidence from national representative data with probability sampling. Int J Soc Robot. doi:10.1007/s12369-017-0401-3
  • Maninger T, Shank DB (2022). Perceptions of violations by artificial and human actors across moral foundations. Comput Hum Behav Rep. doi:10.1016/j.chbr.2021.100154
  • Moher D, Liberati A, Tetzlaff J (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement. PLoS Med. doi:10.1371/journal.pmed.1000097
  • Moravec V, Hynek N, Skare M (2024). Human or machine? The perception of Artificial Intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future. Technol Forecast Soc Change. doi:10.1016/j.techfore.2023.123162
  • Murthy N, Kavya S, Hemalatha MR (2024). AI enabled personalized learning platform. Int J Multidiscip Res.
  • Oleksy T, Wnuk A, Domaradzka A (2023). What shapes our attitudes towards algorithms in urban governance? The role of perceived friendliness and controllability of the city, and human-algorithm cooperation. Comput Hum Behav. doi:10.1016/j.chb.2023.107653
  • Ozmen Garibay O, Winslow B, Andolina S (2023). Six human-centered Artificial Intelligence grand challenges. Int J Hum Comput. doi:10.1080/10447318.2022.2153320
  • Palliyil V (2025). Zenodo.
  • Ranga M (2024). Artificial Intelligence and its impact on society. Int J Eng Sci. doi:10.62904/9fmpr623
  • Robinson SC (2020). Trust, transparency, and openness: how inclusion of cultural values shapes nordic national public policy strategies for Artificial Intelligence (AI). Technology in Society. doi:10.1016/j.techsoc.2020.101421
  • Sætra HS (2021). AI in context and the Sustainable Development Goals: factoring in the unsustainability of the sociotechnical system. Sustainability. doi:10.3390/su13041738
  • Sartori L, Theodorou A (2022). A sociotechnical perspective for the future of AI: narratives, inequalities, and human control. Ethics Inf Technol. doi:10.1007/s10676-022-09624-3
  • Si D (2022). A framework to analyze the impacts of AI with the Sustainable Development Goals. Highl Sci Eng Technol. doi:10.54097/hset.v17i.2621
  • Spelda P, Stritecky V (2020). The future of human-Artificial Intelligence nexus and its environmental costs. Futures. doi:10.1016/j.futures.2020.102531
  • Vinuesa R, Azizpour H, Leite I (2020). The role of Artificial Intelligence in achieving the Sustainable Development Goals. Nat Commun. doi:10.1038/s41467-019-14108-y
  • Yeh SC, Wu AW, Yu HC (2021). Public perception of Artificial Intelligence and its connections to the Sustainable Development Goals. Sustainability. doi:10.3390/su13169165
  • Yigitcanlar T, Degirmenci K, Inkinen T (2024). Drivers behind the public perception of Artificial Intelligence: insights from major Australian cities. AI Soc. doi:10.1007/s00146-022-01566-0
  • Yigitcanlar T, Li RYM, Beeramoole PB (2023). Artificial Intelligence in local government services: public perceptions from Australia and Hong Kong. Gov Inf Q. doi:10.1016/j.giq.2023.101833