Human-centered Artificial Intelligence Development

Authors

  • Zhaohao Sun

    School of Business, Papua New Guinea University of Technology, Taraka Campus, Lae 411 Morobe, PNG
  • Xuehui Wei

    Confucius Institute at Papua New Guinea University of Technology, Taraka Campus, Lae 411 Morobe, PNG

DOI:

https://doi.org/10.30564/jcsr.v6i4.6885
Received: 16 July 2024 | Revised: 26 July 2024 | Accepted: 29 July 2024 | Published Online: 24 August 2024

Abstract

Few researchers provide a wider vision of artificial feet, hands, mouths, eyes, ears, and brains. This limits our vision of them and their significant impacts on the modern Industrial Revolution and Artificial Intelligence (AI) history.  This article presents a novel perspective on human-centered social development starting from artificial feet. After briefly reviewing AI, this article explores the age of AI and artificial feet, hands, mouths, eyes, ears, and brains. It also applies AI to artificial feet and artificial brains. The research reveals that artificial feet are one of the origins of the Industrial Revolution and a real foundation of AI. The study demonstrates that artificial feet and brains liberate our body and society, whereas from artificial brains to artificial feet is control of our body and society. This article also looks at AI's trends and challenges. The approach in this article will facilitate the research and development of big data, analytics, and intelligences.

Keywords:

Artificial intelligence; Cloud computing; Artificial feet; Generative AI

References

[1] Sun, Z., Sun, L., Strang, K., 2018. Big Data Analytics Services for Enhancing Business Intelligence. Journal of Computer Information Systems. 58(2), 162–169.

[2] Russell, S., Norvig, P., 2020. Artificial Intelligence: A Modern Approach (4th Edition). Upper Saddle River: Prentice Hall.

[3] Sun, Z., 2019. Managerial Perspectives on Intelligent Big Data Analytics. IGI-Global: Pennsylvania.

[4] Howarth, J., 2022. 30+ Incredible Big Data Statistics (2023). [Internet] [cited 2023 May 3]. Available from: https://explodingtopics.com/blog/big-data-stats#top-big-data-stats

[5] Turing, A., 1950. Computing Machinery and Intelligence. Mind. 49, 433–460.

[6] Wang, F.Y., 2012. A big-data perspective on AI: Newton, Merton, and Analytics Intelligence. IEEE Intelligent Systems. 27(5), 2–4.

[7] Sun, Z., Wang, P.P., 2021. The Scientification of China. Cambridge Scholars Publishing: Newcastle Upon Tyne.

[8] Schalkoff, R.J., 2011. Intelligent Systems: Principles, Paradigms, and Pragmatics. Jones and Bartlett Publishers: Boston.

[9] Stanford, 2024. THE AI INDEX REPORT: Measuring trends in AI [Internet] [cited 2024 Jun 12]. Available from: https://aiindex.stanford.edu/report/

[10] John, G., 2013. The Age of Artificial Intelligence [Internet] [cited 2024 May 10]. Available from: https://www.youtube.com/watch?v=0qOf7SX2CS4

[11] Laney, D., Jain, A., 2017. 100 Data and Analytics Predictions Through [Internet] [cited 2018 Aug 4]. Available from: https://www.gartner.com/events-na/data-analytics/wp-content/uploads/sites/5/2017/10/Data-and-Analytics-Predictions.pdf

[12] Sun, Z., 2024. Big Data 4.0: The Era of Big Intelligence. Journal of Computer Science Research. 6(1), 1–15.

[13] Sun, Z., 2024. Data Analytics for Business Intelligence: A Multi-industry Approach. Taylor and Francis Group: New York.

[14] Trujillo, M., 2005. Oxford Advanced Learner's English Dictionary (7th Edition). Oxford University Press: NY.

[15] Laudon, K.G., Laudon, K.C., 2020. Management Information Systems: Managing the Digital Firm (16th Edition). Pearson: Harlow, England.

[16] Siegel, E., 2016. Predictive Analytics: The power to Predict who will click, buy, lie, or die. Wiley & Sons: Hoboken, NJ. pp. 150.

[17] Hurley, R., 2019. Data Science: A comprehensive guide to data science, data analytics, data mining, artificial intelligence, machine learning, and big data. Hurley: Middletown, DE.

[18] Magnani, L., 2001. Abduction, Reason, and Science, Processes of Discovery and Explanation. Kluwer Academic/Plenum Publishers: NY.

[19] Brooks, S., 2022. Business Intelligence and Analytics: Concepts, Techniques and Applications. Murphy & Moore Publishing: New York, NY.

[20] Krippendorff, K., 2019. Driving Innovation Within: A Guide for International Enterpreneurs. Columbia University Press: New York.

[21] Tan, T., 2018. AI: Angel or Devil. Proceeding of The 19th Academician Conference of the Chinese Academy of Sciences.

[22] Wikipedia-Bicycle, 2024. Bicycle [Internet] [cited 2018 May 10]. Available from: https://en.wikipedia.org/wiki/Bicycle

[23] Wikipedia-Car, 2024. Car [Internet] [cited 2024 May 10]. Available from: https://en.wikipedia.org/wiki/Car

[24] Wikipedia, 2024. Train [Internet] [cited 5 October 2024]. Available from: https://en.wikipedia.org/wiki/Train

[25] Wikipedia-Digital signal, 2024. Digital signal [Internet] [cited 2018 Oct 5]. Available from: https://en.wikipedia.org/wiki/Digital_signal

[26] Wikipedia-Transport, 2024. Transport [Internet] [cited 10 May 2024]. Available from: https://en.wikipedia.org/wiki/Transport

[27] Wikipedia-speaker, 2024. Loudspeaker [Internet] [cited 9 October 2024]. Available from: https://en.wikipedia.org/wiki/Loudspeaker

[28] Henke, N., Bughin, J., 2016. The Age of Analytics: Competing in a Data Driven World [Internet] [cited 2024 May 10]. Available from: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-age-of-analytics-competing-in-a-data-driven-world

[29] Global AI, 2024. Future trends and challenges of AI technology [Internet] [cited 2024 May 10]. Available from: https://www.sohu.com/a/763392370_121063017

[30] Gartner, 2024. Gartner Experts Answer the Top Generative AI Questions for Your Enterprise [Internet] [cited 2024 Jan 29]. Available from: https://www.gartner.com/en/topics/generative-ai

[31] Mirabella, M., 2023. The future of artificial intelligence: Predictions and trends [Internet] [cited 2024 Jun 13]. Available from: https://www.forbes.com/sites/forbesagencycouncil/2023/09/11/

[32] Mckinsey, 2024. What is AI (artificial Intelligence) [Internet] [cited 2024 Jun 13]. Available from: https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-ai#/

[33] Pereira, B., 2023. Gartner's Predictions for 2024 [Internet] [cited 2024 Jun 16]. Available from: https://www.gartner.com/

[34] Iso, 2021. ISO 8373:2021(en) Robotics [Internet] [cited 2024 Jun 16]. Available from: https://www.iso.org/obp/ui/#iso:std:iso:8373:ed-3:v1:en

[35] Qian, B., 2024. Three stages of digital transformation: Informatization, digitalization, and intelligentization [Internet] [cited 2024 Jun 15]. Available from: https://36kr.com/p/2738812013898244

[36] Sun, Z., Wang, P.P., 2017. Big Data, Analytics and Intelligence: An Editorial Perspective. Journal of New Mathematics and Natural Computation. 13(2), 75–81.

[37] Sun, Z., 2023. Similarity intelligence: similarity based reasoning, computing, and analytics. Journal of Computer Science Research. 5(3), 14–23.

[38] Botpress, 2024. Artificial intelligence development trends [Internet] [cited 2024 Jun 15]. Available from: https://botpress.com/zh/blog/top-artificial-intelligence-trends

[39] Sun, Z., Vajjhala, N.R., 2021. Responsible Big Data Analytics for e-Business Services. Proceeding of the 5th International Conference on Big Data Research (ICBDR 2021). September 25–27, 2021; Tokyo, Japan, New York, USA.

Downloads

How to Cite

Sun, Z., & Wei, X. (2024). Human-centered Artificial Intelligence Development. Journal of Computer Science Research, 6(4), 19–33. https://doi.org/10.30564/jcsr.v6i4.6885

Issue

Vol. 6 , Iss. 4 (October 2024)

Article Type

Article

License

Copyright © 2024 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

Crossref
Scopus
Google Scholar
Europe PMC