Governing Artificial Intelligence to benefit the UN Sustainable Development Goals
Open accessAbstract
Big Tech's unregulated roll‐out out of experimental AI poses risks to the achievement of the UN Sustainable Development Goals (SDGs), with particular vulnerability for developing countries. The goal of financial inclusion is threatened by the imperfect and ungoverned design and implementation of AI decision‐making software making important financial decisions affecting customers. Automated decision‐making algorithms have displayed evidence of bias, lack ethical governance, and limit transparency in the basis for their decisions, causing unfair outcomes and amplify unequal access to finance. Poverty reduction and sustainable development targets are risked by Big Tech's potential exploitation of developing countries by using AI to harvest data and profits. Stakeholder progress toward preventing financial crime and corruption is further threatened by potential misuse of AI. In the light of such risks, Big Tech's unscrupulous history means it cannot be trusted to operate without regulatory oversight. The article proposes effective pre‐emptive regulatory options to minimize scenarios of AI damaging the SDGs. It explores internationally accepted principles of AI governance, and argues for their implementation as regulatory requirements governing AI developers and coders, with compliance verified through algorithmic auditing. Furthermore, it argues that AI governance frameworks must require a benefit to the SDGs. The article argues that proactively predicting such problems can enable continued AI innovation through well‐designed regulations adhering to international principles. It highlights risks of unregulated AI causing harm to human interests, where a public and regulatory backlash may result in over‐regulation that could damage the otherwise beneficial development of AI.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The company could manage both the risk of an asset from a financial performance perspective and the risk from the ESG perspective.
“manage both the risk of an asset from a financial performance perspective and the risk from the ESG perspective.143”
From Artificial Intelligence and Sustainable Decisions (2023) · cites this paper as [143]
Ensuring that AI is human centered requires government interventions, and ethical standard and regular auditing are key to maintain compliance with regulatory frameworks governing the use and adoption of AI.
“Ensuring that AI is human centered requires government interventions (Mhlanga 2022), and ethical standard and regular auditing are key to maintain compliance with regulatory frameworks governing the use and adoption of AI (Truby 2020).”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Truby 2020
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290 · see citing works
(2018) · Cited by 3,510 · see citing works
The role of artificial intelligence in achieving the Sustainable Development Goals
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Fuso Nerini, F. (2020) · Nature Communications · doi:10.1038/s41467-019-14108-y · Cited by 3,294 · see citing works
Barocas, S., & Selbst, A. D. (2014) · doi:10.2139/ssrn.2477899 · Cited by 3,048 · see citing works
Semantics derived automatically from language corpora contain human-like biases
Caliskan, A., Bryson, J. J., & Narayanan, A. (2017) · Science · doi:10.1126/science.aal4230 · Cited by 2,887 · see citing works
Financial Inclusion and Development
Sarma, M., & Pais, J. (2010) · Journal of International Development · doi:10.1002/jid.1698 · Cited by 1,228 · see citing works
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., Filar, B., et al. (2018) · Apollo - University of Cambridge Repository · doi:10.17863/cam.22520 · Cited by 849 · see citing works
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., Filar, B., et al. (2018) · arXiv · doi:10.48550/arxiv.1802.07228 · Cited by 849 · see citing works
The digital revolution in financial inclusion: international development in the fintech era
Gabor, D., & Brooks, S. (2017) · New Political Economy · doi:10.1080/13563467.2017.1259298 · Cited by 796 · see citing works
How AI can be a force for good
Taddeo, M., & Floridi, L. (2018) · Science · doi:10.1126/science.aat5991 · Cited by 760 · see citing works
Governing artificial intelligence: ethical, legal and technical opportunities and challenges
Cath, C. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2018.0080 · Cited by 745 · see citing works
User Data Privacy: Facebook, Cambridge Analytica, and Privacy Protection
Isaak, J., & Hanna, M. J. (2018) · Computer · doi:10.1109/mc.2018.3191268 · Cited by 700 · see citing works
The Fourth Industrial Revolution
Larrañaga, P., Atienza, D., Díaz-Rozo, J., Ogbechie, A., Puerto-Santana, C., & Bielza, C. (2018) · CRC Press eBooks · doi:10.1201/9781351128384-1 · Cited by 660 · see citing works
Rise of the robots: technology and the threat of a jobless future
Virgillito, M. E. (2016) · Labor History · doi:10.1080/0023656x.2016.1242716 · Cited by 651 · see citing works
There is a blind spot in AI research
Crawford, K., & Calo, R. (2016) · Nature · doi:10.1038/538311a · Cited by 580 · see citing works
Truby, J. (2018) · Energy Research & Social Science · doi:10.1016/j.erss.2018.06.009 · Cited by 499 · see citing works
Self-citationEthical governance is essential to building trust in robotics and artificial intelligence systems
Winfield, A. F. T., & Jirotka, M. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2018.0085 · Cited by 493 · see citing works
Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions
King, T. C., Aggarwal, N., Taddeo, M., & Floridi, L. (2020) · Science and Engineering Ethics · doi:10.1007/s11948-018-00081-0 · Cited by 271 · see citing works
The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement
Ferguson, A. G. (2020) · doi:10.2307/j.ctt1pwtb27 · Cited by 266 · see citing works
Garcia, M. (2016) · World Policy Journal · doi:10.1215/07402775-3813015 · Cited by 257 · see citing works
Soft ethics, the governance of the digital and the General Data Protection Regulation
Floridi, L. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2018.0081 · Cited by 234 · see citing works
Floridi, L. (2016) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2016.0112 · Cited by 227 · see citing works
Principles of robotics: regulating robots in the real world
Boden, M., Bryson, J., Caldwell, D., Dautenhahn, K., Edwards, L., Kember, S., Newman, P., Parry, V., Pegman, G., Rodden, T., et al. (2017) · Connection Science · doi:10.1080/09540091.2016.1271400 · Cited by 193 · see citing works
A Review of Future and Ethical Perspectives of Robotics and AI
Tørresen, J. (2018) · Frontiers in Robotics and AI · doi:10.3389/frobt.2017.00075 · Cited by 180 · see citing works
Black-box artificial intelligence: an epistemological and critical analysis
Carabantes, M. (2019) · AI & Society · doi:10.1007/s00146-019-00888-w · Cited by 180 · see citing works
Emergence of Fintech and cybersecurity in a global financial centre
Ng, A. W., & Kwok, B. K. B. (2017) · Journal of Financial Regulation and Compliance · doi:10.1108/jfrc-01-2017-0013 · Cited by 169 · see citing works
Robotics: Ethics of artificial intelligence
Russell, S., Hauert, S., Altman, R. B., & Veloso, M. (2015) · Nature · doi:10.1038/521415a · Cited by 155 · see citing works
Regulate artificial intelligence to avert cyber arms race
Taddeo, M., & Floridi, L. (2018) · Nature · doi:10.1038/d41586-018-04602-6 · Cited by 138 · see citing works
Doig, A. (1995) · Public Administration and Development · doi:10.1002/pad.4230150206 · Cited by 112 · see citing works
A framework for data mining‐based anti‐money laundering research
Gao, Z., & Ye, M. (2007) · Journal of Money Laundering Control · doi:10.1108/13685200710746875 · Cited by 100 · see citing works
The Case for an Ethical Black Box
Winfield, A. F. T., & Jirotka, M. D. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-64107-2_21 · Cited by 95 · see citing works
Automated underwriting in mortgage lending: Good news for the underserved?
Gates, S., Perry, V. G., & Zorn, P. M. (2002) · Housing Policy Debate · doi:10.1080/10511482.2002.9521447 · Cited by 87 · see citing works
Artificial Intelligence: Some ethical issues and regulatory challenges
Coeckelbergh, M. (2019) · Technology and Regulation · doi:10.71265/a9yxhg88 · Cited by 82 · see citing works
Chatila, R., Firth-Butterflied, K., Havens, J. C., & Karachalios, K. (2017) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2017.2670225 · Cited by 72 · see citing works
Learning unfair trading: A market manipulation analysis from the reinforcement learning perspective
Martínez-Miranda, E., McBurney, P., & Howard, M. (2016) · IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) · doi:10.1109/eais.2016.7502499 · Cited by 67 · see citing works
Nissan, E. (2015) · AI & Society · doi:10.1007/s00146-015-0596-5 · Cited by 66 · see citing works
On the legal responsibility of autonomous machines
Brożek, B., & Jakubiec, M. (2017) · Artificial Intelligence and Law · doi:10.1007/s10506-017-9207-8 · Cited by 62 · see citing works
Artificial Intelligence: Some ethical issues and regulatory challenges
Coeckelbergh, M. (2021) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.26116/techreg.2019.003 · Cited by 62 · see citing works
Artificial intelligence: accelerator or panacea for financial crime?
Yeoh, P. (2019) · Journal of Financial Crime · doi:10.1108/jfc-08-2018-0077 · Cited by 57 · see citing works
How Banks Can Better Serve Their Customers Through Artificial Techniques
Vieira, A. S., & Sehgal, A. (2017) · Springer eBooks · doi:10.1007/978-3-662-49275-8_31 · Cited by 39 · see citing works
Apples, oranges, robots: four misunderstandings in today's debate on the legal status of AI systems
Pagallo, U. (2018) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2018.0168 · Cited by 39 · see citing works
Fintech and the city: Sandbox 2.0 policy and regulatory reform proposals
Truby, J. (2018) · International Review of Law Computers & Technology · doi:10.1080/13600869.2018.1546542 · Cited by 39 · see citing works
Self-citationAI: from rational agents to socially responsible agents
Vetrò, A., Santangelo, A. D. M., Beretta, E., & Martin, J. C. D. (2019) · Digital Policy Regulation and Governance · doi:10.1108/dprg-08-2018-0049 · Cited by 35 · see citing works
Risks of Artificial Intelligence
Müller, V. C. (2015) · Chapman & Hall/CRC eBooks · doi:10.1201/b19187 · Cited by 33 · see citing works
The Foreseeability of Human–Artificial Intelligence Interactions *
Kowert, W. (2017) · Texas law review · Cited by 33 · see citing works
Larson, C. (2018) · Science · doi:10.1126/science.359.6376.628 · Cited by 29 · see citing works
FinTech for Financial Inclusion
Zetzsche, D. A., Buckley, R. P., & Arner, D. W. (2019) · doi:10.1002/9781119541851.ch10 · Cited by 28 · see citing works
Regulating Sovereign Wealth Funds to Avoid Investment Protectionism
Kratsas, G., & Truby, J. (2015) · Journal of Financial Regulation · doi:10.1093/jfr/fju002 · Cited by 24 · see citing works
Self-citationAI Entities as AI Agents: Artificial Intelligence Liability and the AI Respondeat Superior Analogy
Lior, A. (2019) · Mitchell Hamline Open Access (Hamline University) · Cited by 22 · see citing works
Ethical Regulation of Robots Must Be Embedded in Their Operating Systems
Govindarajulu, N. S., & Bringsjord, S. (2015) · Cognitive technologies · doi:10.1007/978-3-319-21548-8_5 · Cited by 17 · see citing works
What Robots Want: Autonomous Machines, Codes and New Frontiers of Legal Responsibility
Pagallo, U. (2013) · Ius gentium · doi:10.1007/978-94-007-6314-2_3 · Cited by 16 · see citing works
Truby, J. (2016) · Journal of Money Laundering Control · doi:10.1108/jmlc-04-2015-0011 · Cited by 15 · see citing works
Self-citationIllicit finance and money laundering trends in Eurasia
Cassella, S. D. (2019) · Journal of Money Laundering Control · doi:10.1108/jmlc-01-2018-0003 · Cited by 9 · see citing works
Using Bitcoin technology to combat climate change
Truby, J. (2018) · Nature Middle East · doi:10.1038/nmiddleeast.2018.111 · Cited by 6 · see citing works
Self-citationMaritime Emissions Taxation: An Alternative to the EU Emissions Trading Scheme?
Truby, J. (2014) · Pace Environmental Law Review · doi:10.58948/0738-6206.1740 · Cited by 4 · see citing works
Self-citationVW’s ‘Defeat Devices’ and Liability for Claims for Lost Emissions Tax Revenue
Truby, J., & Kratsas, G. (2017) · Global Journal of Comparative Law · doi:10.1163/2211906x-00601001 · Cited by 3 · see citing works
Self-citationDahdal, A. M. (2018) · Law and Financial Markets Review · doi:10.1080/17521440.2018.1484586 · Cited by 3 · see citing works
The Qatari Financial Sector: Building Bridges between Domestic and InternationalPreprint
Dahdal, A. M., Walker, G. P., & Arner, D. (2017) · SSRN Electronic Journal · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 7
- IEEE Standards Association, Ethically Aligned Design, Version 2. 24 Are tech companies Africa's new colonialists? July 5, 2019, Financial Times https://on.ft.com/2YyeMkz, at p. 752.
- 2019 EY CEO Imperative Study, https://www.ey.com/en_gl/growth/ ceo-imperative-global-challenges. 26 https://www.imf.org/en/News/Articles/2016/09/20/sp092016-Financial- Inclusion-Bridging-Economic-Opportunities-and-Outcomes. 27 April 19, 2018, Financial Inclusion on the Rise, But Gaps Remain, Global Findex Database Shows, https://www.worldbank.org/en/news/press- release/2018/04/19/financial-inclusion-on-the-rise-but-gaps-remain- global-findex-database-shows.
- Ethically aligned design: A vision for prioritizing human wellbeing with artificial intelligence and autonomous systems (Tech. Rep. No. 1). IEEE. (Version 1-For Public Discussion). https://standards.ieee.org/content/ dam/ieee-standards/standards/web/documents/other/ead_v1.pdf, at 91. 42 https://www.research.ibm.com/5-in-5/ai-and-bias/.
- Elizabeth E. Joh, Seattle University Law Review 41 Seattle U. L. Rev. 1139. REFERENCES
- Graeber, D. (2019). Bullshit jobs: A theory. USA: Penguin.
- Hillman, N. L. (2019). The use of artificial intelligence in gauging the risk of recidivism. The Judges' Journal, 58(1), 36-39. https://www.americanbar. org/groups/judicial/publications/judges_journal/2019/winter/the-use- artificial-intelligence-gauging-risk-recidivism/ HKMA and PwC. (2019). Reshaping banking with artificial intelligence. https://www.hkma.gov.hk/media/eng/doc/key-functions/finanical- infrastructure/Whitepaper_on_AI.pdf
- Truby, J. (2019). Financing and self-financing of SDGs through financial technology, legal and fiscal tools. In J. Walker, A. Pekmezovic, & G. Walker (Eds.), Sustainable development: Harnessing business to achieve the SDGs through financing, technology and innovation (pp. 205-217). Chichester, UK: Wiley.
Cited by
Sorted by citations
Sharifi, A., Allam, Z., Bibri, S. E., & Khavarian-Garmsir, A. R. (2023) · Cities · doi:10.1016/j.cities.2023.104659 · Cited by 387 · see citing works
Fan, Z., Yan, Z., & Wen, S. (2023) · Sustainability · doi:10.3390/su151813493 · Cited by 393 · see citing works
AI governance: themes, knowledge gaps and future agendas
Birkstedt, T., Minkkinen, M., Tandon, A., & Mäntymäki, M. (2023) · Internet Research · doi:10.1108/intr-01-2022-0042 · Cited by 417 · see citing works
Bibri, S. E., Alexandre, A., Sharifi, A., & Krogstie, J. (2023) · Energy Informatics · doi:10.1186/s42162-023-00259-2 · Cited by 299 · see citing works
The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals
Bachmann, N., Tripathi, S., Manuel, B., & Jodlbauer, H. (2022) · Sustainability · doi:10.3390/su14052497 · Cited by 320 · see citing works
A framework for AI-powered service innovation capability: Review and agenda for future research
Akter, S., Hossain, M. A., Sajib, S., Sultana, S., Rahman, M., Vrontis, D., & McCarthy, G. (2023) · Technovation · doi:10.1016/j.technovation.2023.102768 · Cited by 302 · see citing works
The environmental effects of the “twin” green and digital transition in European regions
Bianchini, S., Damioli, G., & Ghisetti, C. (2022) · Environmental and Resource Economics · doi:10.1007/s10640-022-00741-7 · Cited by 241 · see citing works
Hentzen, J. K., Hoffmann, A. O. I., Dolan, R. M., & Pala, E. (2021) · International Journal of Bank Marketing · doi:10.1108/ijbm-09-2021-0417 · Cited by 290 · see citing works
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 · see citing works
Al‐Raeei, M. (2024) · Sustainable Development · doi:10.1002/sd.3131 · Cited by 205 · see citing works
A Framework for Evaluating and Disclosing the ESG Related Impacts of AI with the SDGs
Sætra, H. (2021) · Sustainability · doi:10.3390/su13158503 · Cited by 148 · see citing works
Artificial Intelligence and Sustainable Decisions
Zhao, J., & Gómez Fariñas, B. (2023) · European Business Organization Law Review · doi:10.1007/s40804-022-00262-2 · Cited by 197 · see citing works
From Greenwashing to Machinewashing: A Model and Future Directions Derived from Reasoning by Analogy
Seele, P., & Schultz, M. D. (2022) · Journal of Business Ethics · doi:10.1007/s10551-022-05054-9 · Cited by 175 · see citing works
Wang, Q., Zhang, F., & Li, R. (2024) · Sustainable Development · doi:10.1002/sd.3150 · Cited by 166 · see citing works
Sætra, H. (2021) · Sustainability · doi:10.3390/su13041738 · Cited by 121 · see citing works
Artificial intelligence technology, public trust, and effective governance
Robles, P., & Mallinson, D. J. (2023) · Review of Policy Research · doi:10.1111/ropr.12555 · Cited by 174 · see citing works
Artificial intelligence and corporate ESG performance
Zhang, C., & Yang, J. (2024) · International Review of Economics & Finance · doi:10.1016/j.iref.2024.103713 · Cited by 154 · see citing works
Sustainability of Educational Technologies: An Approach to Augmented Reality Research
Abad‐Segura, E., González-Zamar, M.-D., de la Rosa, A. L., & Cevallos, M. B. M. (2020) · Sustainability · doi:10.3390/su12104091 · Cited by 150 · see citing works
Mhlanga, D. (2022) · Sustainability · doi:10.3390/su14137804 · Cited by 130 · see citing works
Deploying digitalisation and artificial intelligence in sustainable development research
Filho, W. L., Yang, P. J., Eustachio, J. H. P. P., Azul, A. M., Gellers, J. C., Giełczyk, A., Dinis, M. A. P., & Kozlova, V. (2022) · Environment Development and Sustainability · doi:10.1007/s10668-022-02252-3 · Cited by 125 · see citing works
Mhlanga, D. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031879 · Cited by 131 · see citing works
AI integration in financial services: a systematic review of trends and regulatory challenges
Vukovic, D. B., Dekpo-Adza, S., & Matović, S. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04850-8 · Cited by 120 · see citing works
Social equity in the data era: A systematic literature review of data‐driven public service research
Ruijer, E. H. J. M., Porumbescu, G. A., Porter, R., & Piotrowski, S. J. (2022) · Public Administration Review · doi:10.1111/puar.13585 · Cited by 124 · see citing works
Yeh, S.-C., Wu, A.-W., Yu, H.-C., Wu, H. C., Kuo, Y.-P., & Chen, P.-X. (2021) · Sustainability · doi:10.3390/su13169165 · Cited by 124 · see citing works
Toward a societal smart city: Clarifying the social justice dimension of smart cities
Alizadeh, H., & Sharifi, A. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104612 · Cited by 107 · see citing works
Rohde, F., Wagner, J., Meyer, A., Reinhard, P., Voß, M., Petschow, U., & Mollen, A. (2024) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2023.101411 · Cited by 131 · see citing works
Isabelle, D. A., & Westerlund, M. (2022) · Sustainability · doi:10.3390/su14041979 · Cited by 95 · see citing works
Yin, H., Wen, J., & Chang, C. (2023) · Oeconomia Copernicana · doi:10.24136/oc.2023.032 · Cited by 91 · see citing works
Yiğitcanlar, T., Degirmenci, K., & Inkinen, T. (2022) · AI & Society · doi:10.1007/s00146-022-01566-0 · Cited by 96 · see citing works
Human-centricity in AI governance: A systemic approach
Sigfrids, A., Leikas, J., Salo-Pöntinen, H., & Koskimies, E. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.976887 · Cited by 111 · see citing works
Huriye, A. Z. (2023) · American Journal of Technology · doi:10.58425/ajt.v2i1.142 · Cited by 84 · see citing works
The Role of Artificial Intelligence in the Study of the Psychology of Religion
Alkhouri, K. I. (2024) · Religions · doi:10.3390/rel15030290 · Cited by 105 · see citing works
Adigwe, C. S., Olaniyi, O. O., Olabanji, S. O., Okunleye, O. J., Mayeke, N. R., & Ajayi, S. A. (2024) · Asian Journal of Economics Business and Accounting · doi:10.9734/ajeba/2024/v24i41269 · Cited by 79 · see citing works
Satornino, C. B., Du, S., & Grewal, D. (2023) · Industrial Marketing Management · doi:10.1016/j.indmarman.2023.11.011 · Cited by 64 · see citing works
Smart Fishery: A Systematic Review and Research Agenda for Sustainable Fisheries in the Age of AI
Ebrahimi, S. H., Ossewaarde, M., & Need, A. (2021) · Sustainability · doi:10.3390/su13116037 · Cited by 59 · see citing works
Gupta, S., Zeballos, J. C., Castro, G. D. R., Tomičić, A., Morales, S. A., Mahfouz, M., Osemwegie, I., Sessi, V. P. C., Schmitz, M. A., Mahmoud, N., et al. (2023) · Sustainability · doi:10.3390/su15086844 · Cited by 66 · see citing works
Forecasting sustainable development goals scores by 2030 using machine learning models
Chenary, K., Kalat, O. P., & Sharifi, A. (2024) · Sustainable Development · doi:10.1002/sd.3037 · Cited by 57 · see citing works
Sharma, M., Singh, P., & Tsagarakis, K. P. (2024) · Business Strategy and the Environment · doi:10.1002/bse.3769 · Cited by 55 · see citing works
Wang, Q., Sun, T., & Li, R. (2025) · Sustainable Development · doi:10.1002/sd.70388 · Cited by 56 · see citing works
Sigfrids, A., Nieminen, M., Leikas, J., & Pikkuaho, P. (2022) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2022.858108 · Cited by 50 · see citing works
“…and cross-disciplinary dialogue is needed to ensure that decision makers, AI developers, businesses, and the general public are aware of societal, ethical, and legal implications of AI systems and of concrete recommendations for action (Floridi et al., 2018; Donahoe and Metzger, 2019; Truby, 2020).”
BackgroundInfluentialGreening the Artificial Intelligence for a Sustainable Planet: An Editorial Commentary
Yiğitcanlar, T. (2021) · Sustainability · doi:10.3390/su132413508 · Cited by 49 · see citing works
Governing algorithms from the South: a case study of AI development in Africa
Hassan, Y. (2022) · AI & Society · doi:10.1007/s00146-022-01527-7 · Cited by 53 · see citing works
Ning, J., Pang, S., Arifin, Z., Zhang, Y., Epa, U. P. K., Qu, M., Zhao, J., Zhen, F., Chowdhury, A., Guo, R., et al. (2024) · Journal of Marine Science and Engineering · doi:10.3390/jmse12071181 · Cited by 49 · see citing works
Hoeft, M., Pieper, M., Eriksson, K., & Bargstädt, H. (2021) · Sustainability · doi:10.3390/su13073779 · Cited by 48 · see citing works
Application of AI/ML techniques in achieving SDGs: a bibliometric study
Meitei, A. J., Rai, P., & Rajkishan, S. S. (2023) · Environment Development and Sustainability · doi:10.1007/s10668-023-03935-1 · Cited by 47 · see citing works
Mustafa, F., Smolarski, J., & Elamer, A. A. (2025) · Business Strategy and the Environment · doi:10.1002/bse.70090 · Cited by 51 · see citing works
Digital ethicswashing: a systematic review and a process-perception-outcome framework
Schultz, M. D., Conti, L. G., & Seele, P. (2024) · AI and Ethics · doi:10.1007/s43681-024-00430-9 · Cited by 46 · see citing works
Strategic view on the current role of AI in advancing environmental sustainability: a SWOT analysis
Greif, L., Kimmig, A., Bobbou, S. E., Jurisch, P., & Ovtcharova, J. (2024) · Discover Artificial Intelligence · doi:10.1007/s44163-024-00146-z · Cited by 51 · see citing works
Social Robotics and the Good Life
(2022) · transcript Verlag eBooks · doi:10.1515/9783839462652 · Cited by 44 · see citing works
An Ethical Framework for Artificial Intelligence and Sustainable Cities
Pastor-Escuredo, D., Treleaven, P., & Vinuesa, R. (2020) · Applied Informatics · doi:10.3390/ai3040057 · Cited by 33 · see citing works
Anshari, M., Hamdan, M., Ahmad, N., & Ali, E. (2025) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-07-2023-0123 · Cited by 44 · see citing works
Francisco, M. (2023) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2022.101250 · Cited by 40 · see citing works
Maghsoudi, M., Mohammadi, N., & Bakhtiari, M. (2025) · Cleaner Environmental Systems · doi:10.1016/j.cesys.2025.100340 · Cited by 37 · see citing works
Kim, M. J., Hall, C. M., Kwon, O., & Sohn, K. (2023) · Journal of Travel Research · doi:10.1177/00472875231191514 · Cited by 36 · see citing works
A Review Paper on the Role of Sentiment Analysis in Quality Education
Pooja, & Bhalla, R. (2022) · SN Computer Science · doi:10.1007/s42979-022-01366-9 · Cited by 36 · see citing works
FarmTech: Regulating the use of digital technologies in the agricultural sector
Ibrahim, I. A., & Truby, J. (2023) · Food and Energy Security · doi:10.1002/fes3.483 · Cited by 35 · see citing works
Self-citationArthur, K. K., Asongu, S. A., Darko, P., Ansah, M. O., Adom, S., & Hlortu, O. (2024) · Journal of Economic Surveys · doi:10.1111/joes.12652 · Cited by 33 · see citing works
Zu, X., Ni, G., & Hu, R. (2025) · Technology in Society · doi:10.1016/j.techsoc.2025.102984 · Cited by 37 · see citing works
Costa, A., Crupi, A., Césaroni, F., & Abbate, T. (2025) · Technovation · doi:10.1016/j.technovation.2025.103335 · Cited by 42 · see citing works
Sustainable AI and Intergenerational Justice
Halsband, A. (2022) · Sustainability · doi:10.3390/su14073922 · Cited by 31 · see citing works
Usmani, U. A., Happonen, A., & Watada, J. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-031-18461-1_19 · Cited by 30 · see citing works
The ethics of sustainable AI : Why animals (should) matter for a sustainable use of AI
Bossert, L. N., & Hagendorff, T. (2023) · Sustainable Development · doi:10.1002/sd.2596 · Cited by 27 · see citing works
Юріївна, Є. А., Boronos, V. M., Serpeninova, Y., & Koldovskyi, A. (2025) · Knowledge Economy and Lifelong Learning · doi:10.61093/kell.1(1).21-34.2025 · Cited by 27 · see citing works
AI for development: implications for theory and practice
Bjola, C. (2021) · Oxford Development Studies · doi:10.1080/13600818.2021.1960960 · Cited by 34 · see citing works
Manoharan, G., Joshi, M., Sidhu, K. S., Survase, R. B., Raj, R., & Pandey, A. (2024) · International Conference on Advances in Computing, Communication and Materials (ICACCM) · doi:10.1109/icaccm61117.2024.11059226 · Cited by 27 · see citing works
RetractedStrazzullo, S., Moro, S., & Cricelli, L. (2023) · Sustainable Development · doi:10.1002/sd.2552 · Cited by 26 · see citing works
Chau, M. T. (2024) · Journal of medical imaging and radiation sciences · doi:10.1016/j.jmir.2024.101733 · Cited by 29 · see citing works
The Role of Artificial Intelligence in Achieving the United Nations Sustainable Development Goals
Lainjo, B. (2024) · Journal of Sustainable Development · doi:10.5539/jsd.v17n5p30 · Cited by 25 · see citing works
A classification framework for generative artificial intelligence for social good
Crumbly, J., Pal, R., & Nezih Altay, A. (2024) · Technovation · doi:10.1016/j.technovation.2024.103129 · Cited by 28 · see citing works
Financial inclusion and sustainable development: A review and research agenda
Ellili, N. O. D. (2024) · Journal of Financial Services Marketing · doi:10.1057/s41264-024-00269-5 · Cited by 29 · see citing works
Madavarapu, J. B., Kasula, B. Y., Whig, P., & Kautish, S. (2024) · World sustainability series · doi:10.1007/978-3-031-68427-2_3 · Cited by 24 · see citing works
Bocean, C. G. (2025) · Applied Sciences · doi:10.3390/app15020816 · Cited by 33 · see citing works
Sabil, S., Bangkara, B. M. A. S. A., Mogea, T., Niswan, E., & Timotius, E. (2023) · International Journal of Professional Business Review · doi:10.26668/businessreview/2023.v8i6.1835 · Cited by 24 · see citing works
Artificial Intelligence-driven regional energy transition:Evidence from China
Zhao, Z., Zhao, Q., Li, S., & Yan, J. (2024) · Economic Analysis and Policy · doi:10.1016/j.eap.2024.10.004 · Cited by 25 · see citing works
Platania, F., Hernandez, C. T., Ouadghiri, I. E., & Peillex, J. (2025) · Technovation · doi:10.1016/j.technovation.2025.103279 · Cited by 21 · see citing works
Kumar, A. B., & Mohanty, A. (2024) · Advances in human and social aspects of technology book series · doi:10.4018/979-8-3693-3334-1.ch002 · Cited by 20 · see citing works
Utilizing artificial intelligence for environmental sustainability
Mumtaz, N., Izhar, T., Pandey, G., & Labhasetwar, P. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90396-7.00010-9 · Cited by 20 · see citing works
Spagnuolo, F., Casciello, R., Martino, I., & Meucci, F. (2024) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.3047 · Cited by 18 · see citing works
AlGhamdi, A. A. (2022) · International Journal of Higher Education · doi:10.5430/ijhe.v11n4p80 · Cited by 18 · see citing works
Majeed, A. H., Abbas, A. F., Kadhim, K. G., & Kzar, M. F. (2024) · Development in Practice · doi:10.1080/09614524.2024.2428801 · Cited by 18 · see citing works
Vărzaru, A. A. (2025) · Systems · doi:10.3390/systems13060398 · Cited by 17 · see citing works
Digital Transformation and Sustainability Artificial Intelligence and Sustainable Development
Raman, M. S., Koppa, K. B., Gupta, V. C., Bhat, V. A., Aradhya, S. G. B., & Selvakumar, P. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-9909-5.ch003 · Cited by 19 · see citing works
Advancing AI governance with a unified theoretical framework: a systematic review
Robles, P., & Mallinson, D. J. (2025) · Perspectives on Public Management and Governance · doi:10.1093/ppmgov/gvaf013 · Cited by 22 · see citing works
Reflections on the human role in AI policy formulations: how do national AI strategies view people?
Salo-Pöntinen, H., & Saariluoma, P. O. (2022) · Discover Artificial Intelligence · doi:10.1007/s44163-022-00019-3 · Cited by 17 · see citing works
Intelligent finance and change management implications
Guo, H.-C., & Polak, P. (2023) · Humanities and Social Sciences Communications · doi:10.1057/s41599-023-01923-4 · Cited by 19 · see citing works
Deng, W. (2020) · Sustainable Development · doi:10.1002/sd.2105 · Cited by 17 · see citing works
AI ethics and sustainability: Accelerating paradigm shifts toward sustainable development
Bansal, C. (2025) · Journal of Strategy & Innovation · doi:10.1016/j.jsinno.2025.200537 · Cited by 16 · see citing works
Stanikzai, M. E., & Mittal, E. (2025) · Journal of Innovation and Entrepreneurship · doi:10.1186/s13731-025-00529-1 · Cited by 16 · see citing works
Interdisciplinary research in artificial intelligence: Lessons from COVID-19
Abbonato, D., Bianchini, S., Gargiulo, F., & Venturini, T. (2024) · Quantitative Science Studies · doi:10.1162/qss_a_00329 · Cited by 16 · see citing works
Trends in the sustainable use of artificial intelligence: a bibliometric approach
Valencia-Arías, A., García, J. A. J., Adan, T. E. A., Rojas, E. M., Valencia, J., Agudelo-Ceballos, E., Uribe-Bedoya, H., & Moreno-López, G. (2025) · Discover Sustainability · doi:10.1007/s43621-025-01222-9 · Cited by 15 · see citing works
Artificial Intelligence and Sustainability
Chousa, J. P., Cabarcos, Á. L., Castro, N. R., & González-López, I. (2024) · Contributions to management science · doi:10.1007/978-3-031-58704-7_4 · Cited by 15 · see citing works
Saha, P., Belal, H. M., & Talapatra, S. (2024) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2024.3439290 · Cited by 20 · see citing works
How are smart city policies progressing in Italy? Insights from SDG indicators
Barbieri, R., Coluccia, B., & Natale, F. (2024) · Land Use Policy · doi:10.1016/j.landusepol.2024.107386 · Cited by 15 · see citing works
Skeja, A., & Sadiku-Dushi, N. (2025) · Leadership & Organization Development Journal · doi:10.1108/lodj-06-2025-0530 · Cited by 17 · see citing works
Fintech and financial inclusion: conceptual foundations and research landscape
Badra, S., Jain, S., & Vichore, S. (2025) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-07-2024-0443 · Cited by 13 · see citing works
Polat, E., Zincirli, M., & ZENGİN, E. (2025) · The International Journal of Management Education · doi:10.1016/j.ijme.2025.101156 · Cited by 16 · see citing works
Artificial intelligence in technology networks: A catalyst for achieving the SDGs
Varriale, V., Cammarano, A., Michelino, F., & Caputo, M. (2025) · Technovation · doi:10.1016/j.technovation.2025.103398 · Cited by 12 · see citing works
IMPACT OF COVID-19 PANDEMIC ON FINTECH AND FINANCIAL INCLUSION IN INDIA
Gupta, M., & Verma, S. (2022) · Indian Journal of Finance and Banking · doi:10.46281/ijfb.v11i1.1815 · Cited by 12 · see citing works
Mazzi, F., Taddeo, M., & Floridi, L. (2023) · Philosophical studies series · doi:10.1007/978-3-031-21147-8_2 · Cited by 12 · see citing works
Thamik, H., Cabrera, J. D. F., & Wu, J. (2024) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-53433-1_2 · Cited by 12 · see citing works
- Authors
- Truby, J.
- Affiliations
- Qatar University (QA)
- Corresponding author
- Truby, Jon
- ORCID
- Truby, Jon
- Venue
- Sustainable Development
- Publisher
- Wiley
- Published
- 2020-02-26
- Volume
- 28
- Issue
- 4
- Pages
- 946-959
- ISSN
- 0968-0802 (ISSN-L)
- 1099-1719
- OpenAlex
- W3006864169
- Cited by
- 266
- References
- 55
- Citations by year
- 2026: 48 · 2025: 77 · 2024: 59 · 2023: 38 · 2022: 28 · 2021: 14 · 2020: 2
- FWCI
- 27.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Sustainable Development (publishedVersion, cc-by)
- SSRN Electronic Journal (submittedVersion)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Funders
- Qatar National Research Fund (NPRP 11S‐1119‐170016)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Sociology and Political Science › Innovation, Sustainability, Human-Machine Systems
- Keywords
- AI governance, Sustainable Development Goals, Big Tech, automated decision-making, algorithmic bias, financial inclusion, developing countries, algorithmic auditing, AI regulation, algorithmic transparency, financial crime, corruption, data exploitation, overregulation, AI ethics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
