The Importance of Governance and Guardrails in Generative Artificial Intelligence |
||
|
|
|
© 2024 by IJCTT Journal | ||
Volume-72 Issue-7 |
||
Year of Publication : 2024 | ||
Authors : Christopher Maduabuchi Okonkwo | ||
DOI : 10.14445/22312803/IJCTT-V72I7P117 |
How to Cite?
Christopher Maduabuchi Okonkwo, "The Importance of Governance and Guardrails in Generative Artificial Intelligence," International Journal of Computer Trends and Technology, vol. 72, no. 7, pp.126-130, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I7P117
Abstract
Generative AI is revolutionizing multiple industries through the creation of content, as well as automating selective and accelerated processes to enhance productivity and growth. This paper summarizes the past and presents various uses of generative AI and its potential future application. This work looks at the various aspects of governance in ensuring that the technology is optimally utilized and draws upon the various duties of key stakeholders in the governance structures and the benefits of sound governance frameworks for society.
Keywords
Generative AI, Governance, Machine Learning, Ethical considerations, Productivity, Innovation.
Reference
[1] Tanveer Ahmad et al., “Energetics Systems and Artificial Intelligence: Applications of Industry 4.0,” Energy Reports, vol. 8, pp. 334- 361, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Zubair Ahmad et al., “Artificial Intelligence (AI) in Medicine, Current Applications and Future Role with Special Emphasis on its Potential and Promise in Pathology: Present and Future Impact, Obstacles Including Costs and Acceptance Among Pathologists, Practical and Philosophical Considerations. A Comprehensive Review,” Diagnostic Pathology, vol. 16, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Christopher A. Bail, “Can Generative AI improve Social Science?,” Proceedings of the National Academy of Sciences, vol. 121, no. 21, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Ajay Bandi, Pydi Venkata Satya Ramesh Adapa, and Yudu Eswar Vinay Pratap Kumar Kuchi, “The Power of Generative AI: A Review of Requirements, Models, Input-Output Formats, Evaluation Metrics, and Challenges,” Future Internet, vol. 15, no. 8, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Pat Barrett, “Achieving Better Practice Corporate Governance in the Public Sector,” Australian National Audit Office, 2002.
[Google Scholar]
[6] Hind Benbya, Thomas H. Davenport, and Stella Pachidi, “Artificial Intelligence in Organizations: Current State and Future Opportunities,” MIS Quarterly Executive, vol. 19, no. 4, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Noémi Bontridder, and Yves Poullet, “The Role of Artificial Intelligence in Disinformation,” Data & Policy, vol. 3, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Tommaso Crepax, “Global Privacy Control and Portability of Privacy Preferences through Browser Settings: A Comparative Study of Techno-Legal Challenges Under the Ccpa/Cpra and the Gdpr,” SSRN, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Mahboob Elahi et al., “A Comprehensive Literature Review of the Applications of AI Techniques Through the Lifecycle of Industrial Equipment,” Discover Artificial Intelligence, vol. 3, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Urs Gasser, Guardrails: Guiding Human Decisions in the Age of AI, Princeton University Press, pp. 1-232, 2024.
[Google Scholar] [Publisher Link]
[11] Ruchi Gupta et al., “Adoption and Impacts of Generative Artificial Intelligence: Theoretical Underpinnings and Research Agenda,” International Journal of Information Management Data Insights, vol. 4, no. 1, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Sreedhar Reddy Konda, “Ethical Considerations in the Development and Deployment of AI-Driven Software Systems,” International Journal of Computer Science and Technology, vol. 6, no. 3, pp. 86-101, 2022.
[Google Scholar] [Publisher Link]
[13] Chiranji Lal Chowdhary et al., Machine Learning for Mobile Communications, CRC Press, pp. 1-214, 2024.
[Publisher Link]
[14] Yue Liu et al., “Generative Artificial Intelligence and its Applications in Materials Science: Current Situation and Future Perspectives,” Journal of Materiomics, vol. 9, no. 4, pp. 798-816, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Pythagoras N. Petratos, “Misinformation, Disinformation, and Fake News: Cyber Risks to Business,” Business Horizons, vol. 64, no. 6, pp. 763-774, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Araz Taeihagh, “Governance of Artificial Intelligence,” Policy and Society, vol. 40, no. 2, pp. 137-157, 2021.
[CrossRef] [Google Scholar] [Publisher Link]