IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i23p10337-d1529744.html
   My bibliography  Save this article

Engineering Safety and Ethical Challenges in 2045 Artificial Intelligence Singularity

Author

Listed:
  • Jing Suo

    (School of Philosophy, Shanxi University, Taiyuan 030006, China)

  • Mingcan Li

    (School of Integrated Circuits, Taiyuan University of Technology, Taiyuan 030024, China)

  • Jinhao Guo

    (College of Electronic Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China)

  • Yan Sun

    (School of Philosophy, Shanxi University, Taiyuan 030006, China)

Abstract

Artificial intelligence (AI) has rapidly advanced, increasingly showcasing its powerful learning and computational capabilities. This progress has resulted in significant breakthroughs in areas such as image processing, speech recognition, and autonomous driving. Scientists predict that by around 2045, AI will overcome existing technological barriers, allowing strong AI to surpass human intelligence. However, it will inevitably affect human social relationships and order. Ethical issues associated with AI technology, such as unemployment, privacy breaches, and discrimination, generate a sense of threat among people, resulting in a loss of confidence in AI, which hampers its sustainable progress. Therefore, AI ethical issues are not only significant topics in academia but also become critical concerns for individuals, society, and nations. This article aims to address the challenges of AI ethics safety and the erosion of human confidence, while promoting the sustainable development of AI. It presents an AI ethics safety framework that analyzes engineering ethics and human trust within the context of sustainable AI development, and it recommends governance methods and strategies informed by case studies. Furthermore, we propose evaluation criteria and methods, establishing early-warning thresholds to keep potential AI risks within acceptable limits. Finally, the future prospects for AI ethics safety are highlighted. We hope our research contributes to the sustainable development of AI, ensuring that the arrival of the AI singularity has a positive impact on society with a long-term harmonious coexistence between AI and humanity.

Suggested Citation

  • Jing Suo & Mingcan Li & Jinhao Guo & Yan Sun, 2024. "Engineering Safety and Ethical Challenges in 2045 Artificial Intelligence Singularity," Sustainability, MDPI, vol. 16(23), pages 1-17, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10337-:d:1529744
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/23/10337/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/23/10337/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jarrahi, Mohammad Hossein & Askay, David & Eshraghi, Ali & Smith, Preston, 2023. "Artificial intelligence and knowledge management: A partnership between human and AI," Business Horizons, Elsevier, vol. 66(1), pages 87-99.
    2. Coyle, Diane & Hampton, Lucy, 2024. "21st century progress in computing," Telecommunications Policy, Elsevier, vol. 48(1).
    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. 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.
    2. Park, Jennifer Jihae, 2024. "Unlocking training transfer in the age of artificial intelligence," Business Horizons, Elsevier, vol. 67(3), pages 263-269.
    3. Ramaul, Laavanya & Ritala, Paavo & Ruokonen, Mika, 2024. "Creational and conversational AI affordances: How the new breed of chatbots is revolutionizing knowledge industries," Business Horizons, Elsevier, vol. 67(5), pages 615-627.
    4. wael AL-khatib, Ayman, 2023. "Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: A TOE framework," Technology in Society, Elsevier, vol. 75(C).
    5. Feng, Cai (Mitsu) & Botha, Elsamari & Pitt, Leyland, 2024. "From HAL to GenAI: Optimizing chatbot impacts with CARE," Business Horizons, Elsevier, vol. 67(5), pages 537-548.
    6. Jin Zhang & Duoxun Ba, 2024. "Intelligent Development, Knowledge Breadth, and High-Tech Enterprise Innovation: The Moderating Role of Knowledge Absorptive Capacity," Sustainability, MDPI, vol. 16(18), pages 1-18, September.
    7. Sundberg, Leif & Holmström, Jonny, 2023. "Democratizing artificial intelligence: How no-code AI can leverage machine learning operations," Business Horizons, Elsevier, vol. 66(6), pages 777-788.
    8. Osadchaya, Elena & Marder, Ben & Yule, Jennifer A. & Yau, Amy & Lavertu, Laura & Stylos, Nikolaos & Oliver, Sebastian & Angell, Rob & Regt, Anouk de & Gao, Liyu & Qi, Kang & Zhang, Will Zhiyuan & Zhan, 2024. "To ChatGPT, or not to ChatGPT: Navigating the paradoxes of generative AI in the advertising industry," Business Horizons, Elsevier, vol. 67(5), pages 571-581.
    9. Hyun Yong Ahn, 2024. "AI-Powered E-Learning for Lifelong Learners: Impact on Performance and Knowledge Application," Sustainability, MDPI, vol. 16(20), pages 1-20, October.
    10. Urbani, Roberto & Ferreira, Caitlin & Lam, Joey, 2024. "Managerial framework for evaluating AI chatbot integration: Bridging organizational readiness and technological challenges," Business Horizons, Elsevier, vol. 67(5), pages 595-606.
    11. Retkowsky, Jana & Hafermalz, Ella & Huysman, Marleen, 2024. "Managing a ChatGPT-empowered workforce: Understanding its affordances and side effects," Business Horizons, Elsevier, vol. 67(5), pages 511-523.
    12. Liu, Yang & Ying, Zhenzhou & Ying, Ying & Wang, Ding & Chen, Jin, 2024. "Artificial intelligence orientation and internationalization speed: A knowledge management perspective," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    13. Rajaram, Kumaran & Tinguely, Patrick Nicolas, 2024. "Generative artificial intelligence in small and medium enterprises: Navigating its promises and challenges," Business Horizons, Elsevier, vol. 67(5), pages 629-648.
    14. Brewer, Jordan & Patel, Dhru & Kim, Dennie & Murray, Alex, 2024. "Navigating the challenges of generative technologies: Proposing the integration of artificial intelligence and blockchain," Business Horizons, Elsevier, vol. 67(5), pages 525-535.
    15. Kittur, Prathamesh & Agarwal, Shailja, 2024. "Cultural bridges in Business: Critical review and future directions in cross-cultural B2B relationships," Journal of Business Research, Elsevier, vol. 180(C).
    16. Jiaxing Du & Han Cai & Xiu Jin, 2024. "Exploring the Association Between Artificial Intelligence Management and Green Innovation: Expanding the Research Field for Sustainable Outcomes," Sustainability, MDPI, vol. 16(21), pages 1-28, October.
    17. Abdulaziz Aldoseri & Khalifa N. Al-Khalifa & Abdel Magid Hamouda, 2024. "AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact," Sustainability, MDPI, vol. 16(5), pages 1-25, February.
    18. Hannigan, Timothy R. & McCarthy, Ian P. & Spicer, André, 2024. "Beware of botshit: How to manage the epistemic risks of generative chatbots," Business Horizons, Elsevier, vol. 67(5), pages 471-486.
    19. Ekaterina Glebova, 2024. "Research Duos: Unveiling the Collaborative Essence of Research," Societies, MDPI, vol. 14(9), pages 1-12, September.
    20. Berthon, Pierre & Yalcin, Taylan & Pehlivan, Ekin & Rabinovich, Tamara, 2024. "Trajectories of AI technologies: Insights for managers," Business Horizons, Elsevier, vol. 67(5), pages 461-470.

    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:gam:jsusta:v:16:y:2024:i:23:p:10337-:d:1529744. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.