DOI : https://doi.org/10.18517/ijaseit.14.6.20447

Certification-Driven Strategies for Enhancing Generative AI

Byunggyu So (1), Yongsu Jang (2), Yeonjae Oh (3)
(1) Department of Qualification System Specialist Branch, General Director, Human Resources Development of Korea 35-2, Sungwang-ro, Suncheon-si, Jeollanam-do, Republic of Korea
(2) Department Physical therapy, Social Welfare Major, Gwangyang Health Sciences University, Gwangyang-si, Republic of Korea
(3) Department of Computer Engineering, Artificial Intelligence Major, Suncheon National University, Suncheon-si, Republic of Korea
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How to cite (IJASEIT) :
So, Byunggyu, et al. “Certification-Driven Strategies for Enhancing Generative AI”. International Journal on Advanced Science, Engineering and Information Technology, vol. 14, no. 6, Dec. 2024, pp. 1836-41, doi:10.18517/ijaseit.14.6.20447.
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This paper highlights the critical need for national functional certifications designed explicitly for generative AI ogy, addressing the challenges its rapid advancement poses. The current educational and accreditation systems are struggling to keep pace with the fast-evolving demands of the AI field, resulting in a gap between the skills required by industries and those possessed by the workforce. To close this gap, the paper proposes a structured certification program that aligns educational curricula with industry needs, ensuring that professionals gain both theoretical knowledge and practical skills in generative AI. A key element of this certification program is fostering collaboration between industry and academia. This partnership is vital for developing educational content that is not only relevant but also practical, directly preparing students for real-world applications. By closely aligning academic training with industry requirements, the program aims to produce professionals adept at implementing generative AI technologies across various sectors, effectively bridging the gap between education and practice. The paper also emphasizes the importance of maintaining the quality and credibility of the certification system through continuous assessment and regular updates. Such evaluations are essential to ensure the certification remains valuable and respected nationally and internationally. Implementing this certification program is expected to cultivate a highly skilled workforce, stimulate the job market, and enhance national competitiveness in the global economy. Additionally, ongoing research is recommended to monitor advancements in AI and update the certification program accordingly, ensuring it stays aligned with the latest industry trends and technological developments.

D. Jang and J. Kim, "Two-way Interactive Algorithms Based on Speech and Motion Recognition with Generative AI Technology," J. of The Korea Institute of Electronic Commun. Sciences, vol. 19, no. 2, pp. 397–402, 2024. https://www.riss.kr/link?id=A109046465.

Y. Ko, "An Analysis of Artificial Intelligence Education Research Trends Based on Topic Modeling," J. of the Korea Society of Computer and Information, vol. 29, no. 2, pp. 197-209, 2024. DOI: 10.9708/jksci.2024.29.02.197.

Y. Oh, "Generative AI Jeonse Fraud Prevention System," J. of The Korea Institute of Electronic Commun. Sciences, vol. 19, no. 1, pp. 173-180, 2024. DOI: 10.13067/JKIECS.2024.19.1.173.

M. Yoo, " Effect of Certificates of Major on Employment: Case of Steel Industry," J. of Practical Engineering Education, vol. 12, no. 1, pp. 203-212, 2020. DOI: 10.14702/JPEE.2020.203.

N. Khan, S. Khan, B. C. Tan, and C. H. Loon, “Driving Digital Competency Model Towards IR 4.0 In Malaysia,” J.of Physics: Conference Series, vol. 1793, no. 1, pp. 012049, Feb. 2021. DOI: 10.1088/1742-6596/1793/1/012049.

J. Lee, M. Hong, and J. Cho, “Development of a Content Framework of Artificial Intelligence Integrated Education Considering Ethical Factors,” International J.on Advanced Science, Engineering and Information Technol., vol. 14, no. 1, pp. 205-213, Feb. 2024. DOI: 10.18517/ijaseit.14.1.19558.

P. Kousa and H. Niemi, “Artificial Intelligence Ethics from the Perspective of Educational Technology Companies and Schools,” AI in Learning: Designing the Future, pp. 283-296, Nov. 2022. DOI:10.1007/978-3-031-09687-7_17.

H. Moon, H. Go, Y. Lee, and S.-W. Kim, “Investigating Factors in Artificial Intelligence Literacy for Korean Elementary School Students,” International J.on Advanced Science, Engineering and Information Technol., vol. 14, no. 4, pp. 1226-1232, Aug. 2024. DOI: 10.18517/ijaseit.14.4.16998.

W. Ho and D. Lee, “Enhancing Engineering Education in the Roblox Metaverse: Utilizing chatGPT for Game Development for Electrical Machine Course,” International J.on Advanced Science, Engineering and Information Technol., vol. 13, no. 3, pp. 1052-1058, Jun. 2023, DOI: 10.18517/ijaseit.13.3.18458.

S.-W. Kim, “Development of a TPACK Educational Program to Enhance Pre-service Teachers’ Teaching Expertise in Artificial Intelligence Convergence Education,” International J.on Advanced Science, Engineering and Information Technol., vol. 14, no. 1, pp. 1-9, Feb. 2024. DOI: 10.18517/ijaseit.14.1.19552.

Z. Hakim, T. Ierasts, I. Hakim, A. D’Penha, K. Smith, and M. Caesar, “Connecting Data to Insight: A Pan-Canadian Study on AI in Healthcare,” Healthcare Quarterly, vol. 23, no. 1, pp. 13-19, Apr. 2020. DOI: 10.12927/hcq.2020.26144.

R. Jha, P. K. Patra, and A. K. Srivastava, “AI-guided optimization of manufacturing protocols for AHSS coils,” Materials and Manufacturing Processes, vol. 38, no. 2, pp. 151-158, Aug. 2022. DOI:10.1080/10426914.2022.2105871.

X. Chen, C. Chen, and Y. Cheng, "Toward the AI-enabled Digital Financial Services Innovation: The Role of Positive Emotional Interactions with Users," Proceedings of the Korean Intelligent Information Systems Society Conference, vol. 2022, no. 6, pp. 469-528, 2022. https://www.riss.kr/link?id=A108327648.

R. Manrai and K. P. Gupta, “Investor’s perceptions on artificial intelligence (AI) technology adoption in investment services in India,” J. of Financial Services Marketing, vol. 28, no. 1, pp. 1-14, Jan. 2022. DOI: 10.1057/s41264-021-00134-9.

J. Kim, H. Lee, and Y. H. Cho, “Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education,” Education and Information Technol., vol. 27, no. 5, pp. 6069-6104, Jan. 2022. DOI: 10.1007/s10639-021-10831-6.

S. Earley, "The Future of Supply Chain Management is AI and Data," Supply Chain Management Review, vol. 25, no. 2, pp. 24-31, 2021.

I. Horváth, “AI in interpreting: Ethical considerations,” Across Languages and Cultures, vol. 23, no. 1, pp. 1-13, May 2022. DOI: 10.1556/084.2022.00108.

P. K. Kopalle, M. Gangwar, A. Kaplan, D. Ramachandran, W. Reinartz, and A. Rindfleisch, “Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities,” International J.of Research in Marketing, vol. 39, no. 2, pp. 522-540, Jun. 2022. DOI: 10.1016/j.ijresmar.2021.11.002.

M. M. Mariani, R. Perez‐Vega, and J. Wirtz, “AI in marketing, consumer research and psychology: A systematic literature review and research agenda,” Psychology & Marketing, vol. 39, no. 4, pp. 755–776, Dec. 2021. DOI: 10.1002/mar.21619.

X. Li and F.-Y. Wang, “Scenarios Engineering: Enabling Trustworthy and Effective AI for Autonomous Vehicles,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 5, pp. 3205-3210, May 2023. DOI:10.1109/tiv.2023.3269421.

A. Yaseen, "AI-Driven Threat Detection and Response: A Paradigm Shift in Cybersecurity," Int. J. Inf. Cybersecurity, vol. 7, no. 12, pp. 25-43, 2023, https://orcid.org/0009-0002-8950-0767

J. Yoon, "A Study on IT-Related Certifications Preferred by DOI: Students," J. of the Korea Knowledge Information Technol. Society, vol. 17, no. 3, pp. 405-414, 2022, DOI: 10.34163/jkits.2022.17.3.003

J. Baek, J. Kim, and J. Han, "Current Status and Suggestions for Robot Technology Certifications for Robot Education," J. of Information Education, vol. 15, no. 1, pp. 51-58, 2011. https://www.riss.kr/link?id=A82610891

A. Borboni, K. V. V. Reddy, I. Elamvazuthi, M. S. AL-Quraishi, E. Natarajan, and S. S. Azhar Ali, “The Expanding Role of Artificial Intelligence in Collaborative Robots for Industrial Applications: A Systematic Review of Recent Works,” Machines, vol. 11, no. 1, p. 111, Jan. 2023. DOI: 10.3390/machines11010111.

S. Kim and Y. Jeon, “Development of a Python Library to Generate Synthetic Datasets for Artificial Intelligence Education,” International J.on Advanced Science, Engineering and Information Technol., vol. 14, no. 3, pp. 936-945, Jun. 2024. DOI: 10.18517/ijaseit.14.3.18158.

Microsoft, "Microsoft Certified: Azure AI Engineer Associate," 2021. [Online]. Available: https://docs.microsoft.com/en-us/learn/certifications/azure-ai-engineer/

IBM, "AI Engineering Professional Certificate," Coursera, 2022. [Online]. Available: https://www.coursera.org/professional-certificates/ai-engineer

A. Smith, "Adaptive Learning through Artificial Intelligence," International J.on Integrated Education, vol. 7, no. 2, pp. 41-43, 2024. DOI: 10.2139/ssrn.4514887.

F. Stephany, O. Teutloff, and M. Kässi, "What is the Price of a Skill? The Value of Complementarity," Research Policy, vol. 53, no. 1, pp. 25-42, 2024. DOI: 10.1016/j.respol.2023.103989.

P. Cihon, M. J. Kleinaltenkamp, J. Schuett and S. D. Baum, "AI Certification: Advancing Ethical Practice by Reducing Information Asymmetries," in IEEE Transactions on Technol. and Society, vol. 2, no. 4, pp. 200-209, 2021. DOI: 10.1109/TTS.2021.3077595.

A. Jobin, M. Ienca, and E. Vayena, "The Global Landscape of AI Ethics Guidelines," Nature Machine Intelligence, vol. 1, no. 9, pp. 389-399, 2019. DOI:10.1038/s42256-019-0088-2.

Korea Vocational Competency Development Institute, "Professional Certification Information," 2024. [Online]. Available: https://www.q-net.or.kr/man004.do?id=manSubMain.

Microsoft, "Microsoft Certified: Azure AI Engineer Associate," Microsoft Learn, 2024. [Online]. Available: https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/.

Google, "Google Professional Machine Learning Engineer," Google Cloud Certification, 2024. [Online]. Available: https://cloud.google.com/certification/machine-learning-engineer.

BCS, "BCS AI Essentials Certificate," BCS - The Chartered Institute for IT, 2024. [Online]. Available: https://www.bcs.org/qualifications/exams/all-exams/ai-essentials-certificate/.

SAS, "SAS Certified AI & Machine Learning Professional," SAS, 2024. [Online]. Available: https://www.sas.com/en_us/certification/credentials/advanced-analytics/ai-ml-professional.html.

IBM, "P-Tech AI Developer Certification," IBM SkillsBuild, 2024. [Online]. Available: https://www.ibm.com/skills/programs/ptech/.

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