IDEAS home Printed from https://ideas.repec.org/a/vrs/poicbe/v18y2024i1p2857-2870n1038.html
   My bibliography  Save this article

The Impact of the EU AI Act on the UN Sustainable Development Goals for 2030 – A Text Analysis

Author

Listed:
  • Ciurea Iulia-Cristina

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

This article conducts an analysis on the content of the Artificial Intelligence Act which has recently been passed by the European Parliament and which is expected to be implemented during a two-year stepped transition period. Artificial Intelligence has been praised for significantly increasing the efficiency with which businesses, institutions, and countries as an extension, have been able to develop their sustainable development goal scores towards the United Nations’ 2030 ambitions, especially in implementing sustainable business development, urban development, renewable energy, healthcare, education and more. Contrary to these contributions, a large number of researchers and international organizations have signaled the necessity of ensuring the application of ethical and legal considerations during the development and usage of artificial intelligence and machine learning models through the use of data management, protection, and ethical modeling experts within organizations. The article thus seeks to highlight the areas of sustainable development most impacted by the introduction of the Artificial Intelligence Act, both negatively in slowing down innovation, and positively in ensuring the safe and ethical use of these technologies. The methodology of research used involves sentiment analysis using Python’s Natural Language Toolkit followed by keyword mapping to enable a targeted view into the most positive/negative pages of the act, the most highly mentioned sustainable goals, and the mapping between this sentiment and the mention count.

Suggested Citation

  • Ciurea Iulia-Cristina, 2024. "The Impact of the EU AI Act on the UN Sustainable Development Goals for 2030 – A Text Analysis," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 2857-2870.
    • Handle: RePEc:vrs:poicbe:v:18:y:2024:i:1:p:2857-2870:n:1038
    DOI: 10.2478/picbe-2024-0237
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/picbe-2024-0237
    Download Restriction: no
    File URL: https://libkey.io/10.2478/picbe-2024-0237?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kaplan, Andreas & Haenlein, Michael, 2020. "Rulers of the world, unite! The challenges and opportunities of artificial intelligence," Business Horizons, Elsevier, vol. 63(1), pages 37-50.
    2. Nenad Tomašev & Julien Cornebise & Frank Hutter & Shakir Mohamed & Angela Picciariello & Bec Connelly & Danielle C. M. Belgrave & Daphne Ezer & Fanny Cachat van der Haert & Frank Mugisha & Gerald Abil, 2020. "AI for social good: unlocking the opportunity for positive impact," Nature Communications, Nature, vol. 11(1), pages 1-6, December.
    3. Yang Lu, 2019. "Artificial intelligence: a survey on evolution, models, applications and future trends," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(1), pages 1-29, January.
    4. Antonio-José Moreno-Guerrero & Jesús López-Belmonte & José-Antonio Marín-Marín & Rebeca Soler-Costa, 2020. "Scientific Development of Educational Artificial Intelligence in Web of Science," Future Internet, MDPI, vol. 12(8), pages 1-18, July.
    5. Longbing Cao, 2021. "AI in Finance: Challenges, Techniques and Opportunities," Papers 2107.09051, arXiv.org.
    6. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    7. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    8. Francesco Rosati & Lourenço Galvão Diniz Faria, 2019. "Business contribution to the Sustainable Development Agenda: Organizational factors related to early adoption of SDG reporting," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(3), pages 588-597, May.
    9. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2631-2689, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    2. Leal Filho, Walter & Wall, Tony & Rui Mucova, Serafino Afonso & Nagy, Gustavo J. & Balogun, Abdul-Lateef & Luetz, Johannes M. & Ng, Artie W. & Kovaleva, Marina & Safiul Azam, Fardous Mohammad & Alves,, 2022. "Deploying artificial intelligence for climate change adaptation," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    3. Chowdhury, Soumyadeb & Budhwar, Pawan & Dey, Prasanta Kumar & Joel-Edgar, Sian & Abadie, Amelie, 2022. "AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework," Journal of Business Research, Elsevier, vol. 144(C), pages 31-49.
    4. Isensee, Carmen & Griese, Kai-Michael & Teuteberg, Frank, 2022. "Sustainable Artificial Intelligence im Marketing am Beispiel des SDG 12," PraxisWISSEN Marketing: German Journal of Marketing, AfM – Arbeitsgemeinschaft für Marketing, vol. 7(01/2022), pages 33-46.
    5. Henrik Skaug Sætra, 2021. "A Framework for Evaluating and Disclosing the ESG Related Impacts of AI with the SDGs," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    6. Ritika Mahajan & Satish Kumar & Weng Marc Lim & Monica Sareen, 2024. "The role of business and management in driving the sustainable development goals (SDGs): Current insights and future directions from a systematic review," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4493-4529, July.
    7. Vijendra Kumar & Hazi Md. Azamathulla & Kul Vaibhav Sharma & Darshan J. Mehta & Kiran Tota Maharaj, 2023. "The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management," Sustainability, MDPI, vol. 15(13), pages 1-33, July.
    8. Viziteu Loredana & Lucaci Ancuța & Orhean-Vranceanu Maria, 2024. "The Contribution of Sustainable Businesses to Achieving Sustainable Development Goals: A Bibliometric Analysis," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 2628-2641.
    9. Anton Klarin & Hossein Ali Abadi & Rifat Sharmelly, 2024. "Professionalism in artificial intelligence: The link between technology and ethics," Systems Research and Behavioral Science, Wiley Blackwell, vol. 41(4), pages 557-580, July.
    10. Jörg Garrel & Jana Mayer, 2023. "Artificial Intelligence in studies—use of ChatGPT and AI-based tools among students in Germany," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    11. Haenlein, Michael & Kaplan, Andreas, 2021. "Artificial intelligence and robotics: Shaking up the business world and society at large," Journal of Business Research, Elsevier, vol. 124(C), pages 405-407.
    12. Nasir, Osama & Javed, Rana Tallal & Gupta, Shivam & Vinuesa, Ricardo & Qadir, Junaid, 2023. "Artificial intelligence and sustainable development goals nexus via four vantage points," Technology in Society, Elsevier, vol. 72(C).
    13. Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
    14. Iva Gregurec & Martina Tomičić Furjan & Katarina Tomičić-Pupek, 2021. "The Impact of COVID-19 on Sustainable Business Models in SMEs," Sustainability, MDPI, vol. 13(3), pages 1-24, January.
    15. Robertson, Jeandri & Ferreira, Caitlin & Botha, Elsamari & Oosthuizen, Kim, 2024. "Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction," Business Horizons, Elsevier, vol. 67(5), pages 499-510.
    16. Henrik Skaug Sætra, 2021. "AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    17. Wilson, Christopher & van der Velden, Maja, 2022. "Sustainable AI: An integrated model to guide public sector decision-making," Technology in Society, Elsevier, vol. 68(C).
    18. Maurizio Massaro & Francesca Dal Mas & Charbel Jose Chiappetta Jabbour & Carlo Bagnoli, 2020. "Crypto‐economy and new sustainable business models: Reflections and projections using a case study analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2150-2160, September.
    19. Muhammad Waseem & Muhammad Adnan Khan & Arman Goudarzi & Shah Fahad & Intisar Ali Sajjad & Pierluigi Siano, 2023. "Incorporation of Blockchain Technology for Different Smart Grid Applications: Architecture, Prospects, and Challenges," Energies, MDPI, vol. 16(2), pages 1-29, January.
    20. A. J. Jin & C. Li & J. Su & J. Tan, 2022. "Fundamental Studies of Smart Distributed Energy Resources along with Energy Blockchain," Energies, MDPI, vol. 15(21), pages 1-12, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:poicbe:v:18:y:2024:i:1:p:2857-2870:n:1038. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.