Skip to main navigation menu Skip to main content Skip to site footer

Peer Reviewed Article

Vol. 5 (2020)

Corporate Governance in the Age of Artificial Intelligence: Balancing Innovation with Ethical Responsibility

Submitted
2024 October 29
Published
2020-03-30

Abstract

This paper examines how corporations may combine innovation and ethics at corporate governance and the artificial intelligence (AI) interface. The primary goals are to uncover ethical issues raised by AI integration in corporate governance, assess governance frameworks, and offer responsible AI usage methods. The research uses secondary data review to get insights from literature, case studies, and industry reports. Significant results show that conventional governance frameworks typically fail to handle AI-related issues, including accountability, transparency, and bias. The research emphasizes ethical AI concepts, including justice and inclusion, accountability frameworks, and transparent AI systems. Regulatory compliance and business AI ethical culture are also crucial. Policy implications include that governments and regulatory agencies should establish enforceable AI accountability and bias norms and promote industry-academia cooperation to improve ethical standards. The report indicates that AI governance must combine innovation and ethics to benefit society and retain public confidence in business activities.

References

  1. AI Abueed, R., Aga, M. (2019). Sustainable Knowledge Creation and Corporate Outcomes: Does Corporate Data Governance Matter?. Sustainability, 11(20), 5575. https://doi.org/10.3390/su11205575
  2. Donahoe, E., Metzger, M. M. (2019). Artificial Intelligence and Human Rights. Journal of Democracy, 30(2), 115-126. https://doi.org/10.1353/jod.2019.0029
  3. Fang, W., Sheng, D., Wang, L. (2018). Evolutionary Model and Simulation Research of Collaborative Innovation Network: A Case Study of Artificial Intelligence Industry. Discrete Dynamics in Nature and Society, 2018. https://doi.org/10.1155/2018/4371528
  4. Fenwick, M., McCahery, J. A., Vermeulen, E. P. M. (2019). The End of ‘Corporate’ Governance: Hello ‘Platform’ Governance. European Business Organization Law Review, 20(1), 171-199. https://doi.org/10.1007/s40804-019-00137-z
  5. Halbouni, S. S., Obeid, N., Garbou, A. (2016). Corporate Governance and Information Technology in Fraud Prevention and Detection: Evidence from the UAE. Managerial Auditing Journal, 31(6/7), 589-628. https://doi.org/10.1108/MAJ-02-2015-1163
  6. Karanam, R. K., Natakam, V. M., Boinapalli, N. R., Sridharlakshmi, N. R. B., Allam, A. R., Gade, P. K., Venkata, S. G. N., Kommineni, H. P., & Manikyala, A. (2018). Neural Networks in Algorithmic Trading for Financial Markets. Asian Accounting and Auditing Advancement, 9(1), 115–126. https://4ajournal.com/article/view/95
  7. Kothapalli, S., Manikyala, A., Kommineni, H. P., Venkata, S. G. N., Gade, P. K., Allam, A. R., Sridharlakshmi, N. R. B., Boinapalli, N. R., Onteddu, A. R., & Kundavaram, R. R. (2019). Code Refactoring Strategies for DevOps: Improving Software Maintainability and Scalability. ABC Research Alert, 7(3), 193–204. https://doi.org/10.18034/ra.v7i3.663
  8. Lauterbach, A. (2019). Artificial Intelligence and Policy: Quo Vadis?. Digital Policy, Regulation and Governance, 21(3), 238-263. https://doi.org/10.1108/DPRG-09-2018-0054
  9. Mohammed, M. A., Kothapalli, K. R. V., Mohammed, R., Pasam, P., Sachani, D. K., & Richardson, N. (2017). Machine Learning-Based Real-Time Fraud Detection in Financial Transactions. Asian Accounting and Auditing Advancement, 8(1), 67–76. https://4ajournal.com/article/view/93
  10. Mohammed, M. A., Mohammed, R., Pasam, P., & Addimulam, S. (2018). Robot-Assisted Quality Control in the United States Rubber Industry: Challenges and Opportunities. ABC Journal of Advanced Research, 7(2), 151-162. https://doi.org/10.18034/abcjar.v7i2.755
  11. Mohammed, R., Addimulam, S., Mohammed, M. A., Karanam, R. K., Maddula, S. S., Pasam, P., & Natakam, V. M. (2017). Optimizing Web Performance: Front End Development Strategies for the Aviation Sector. International Journal of Reciprocal Symmetry and Theoretical Physics, 4, 38-45. https://upright.pub/index.php/ijrstp/article/view/142
  12. Nizamuddin, M., Natakam, V. M., Sachani, D. K., Vennapusa, S. C. R., Addimulam, S., & Mullangi, K. (2019). The Paradox of Retail Automation: How Self-Checkout Convenience Contrasts with Loyalty to Human Cashiers. Asian Journal of Humanity, Art and Literature, 6(2), 219-232. https://doi.org/10.18034/ajhal.v6i2.751
  13. Ranschaert, E. R., Morozov, S., Algra, P. R. (2019). Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risks. Artificial Intelligence in Medical Imaging. https://doi.org/10.1007/978-3-319-94878-2
  14. Rodriguez, M., Mohammed, M. A., Mohammed, R., Pasam, P., Karanam, R. K., Vennapusa, S. C. R., & Boinapalli, N. R. (2019). Oracle EBS and Digital Transformation: Aligning Technology with Business Goals. Technology & Management Review, 4, 49-63. https://upright.pub/index.php/tmr/article/view/151
  15. Thompson, C. R., Talla, R. R., Gummadi, J. C. S., Kamisetty, A (2019). Reinforcement Learning Techniques for Autonomous Robotics. Asian Journal of Applied Science and Engineering, 8(1), 85-96. https://ajase.net/article/view/94
  16. Wei-Wei, Z. (2018). Improving Social Responsibility of Artificial Intelligence by Using ISO 26000. IOP Conference Series. Materials Science and Engineering, 428(1). https://doi.org/10.1088/1757-899X/428/1/012049
  17. Winter, J. S., Davidson, E. (2019). Governance of Artificial Intelligence and Personal Health Information. Digital Policy, Regulation and Governance, 21(3), 280-290. https://doi.org/10.1108/DPRG-08-2018-0048
  18. Ying, D., Kothapalli, K. R. V., Mohammed, M. A., Mohammed, R., & Pasam, P. (2018). Building Secure and Scalable Applications on Azure Cloud: Design Principles and Architectures. Technology & Management Review, 3, 63-76. https://upright.pub/index.php/tmr/article/view/149
  19. Zheng, Y., Zhou, H. (2015). IDA: An Intelligent Document Analysis System for Evaluating Corporate Governance Practices Based on SEC Required Filings. International Journal of Software Innovation, 3(2), 39-51. https://doi.org/10.4018/ijsi.2015040105

Similar Articles

1-10 of 21

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)