The Ethical Limitations of AI

Parth Manoj Purandare

doi:10.69968/ijisem.2026v5i488-96

Authors

Parth Manoj Purandare Research scholar Bachelor's of Science in Global Business Management Rochester Institute of Technology, Dubai - UAE

DOI:

https://doi.org/10.69968/ijisem.2026v5i488-96

Keywords:

Artificial Intelligence (AI), Corporate Decision-Making, AI Ethics, Algorithmic Bias, Human Oversight

Abstract

Artificial intelligence (AI) has been increasingly integrated into the decision-making process of corporations across various industries, including finance, healthcare, marketing, supply chain management, cybersecurity, and human resources. Although AI has proven to be highly efficient, automated, and data-driven in its strategic decision-making, its increasing autonomy in high-stakes strategic decisions raises important ethical concerns. This paper discusses the ethical constraints of AI in corporate decision-making, especially in terms of accountability gaps, algorithmic bias, transparency issues, privacy risks, and the loss of human judgment and moral reasoning.

This paper is aimed at critically assessing whether AI systems should be allowed to make autonomous strategic business decisions without meaningful human control and also exploring the impacts of these ethical constraints on stakeholders such as employees, consumers, executives, and policymakers. This study is a synthesis of interdisciplinary academic literature, industry reports, and real-world case studies in relation to AI governance and corporate ethics using a qualitative conceptual research approach.

The results indicate that despite the fact that AI can be used to increase the efficiency of operations and assist in making informed decisions, fully autonomous AI systems are ethically unreliable in situations that require empathy, situational understanding, and responsibility. The experience in the fields of hiring systems, cybersecurity, advertising, and data governance proves that AI may unintentionally support discrimination, introduce transparency in decision-making, and expose organizations to considerable ethical and reputational risks.

This paper concludes that AI must be used as a decision-support tool and not an autonomous corporate decision-maker and that human oversight, transparent governance structures, and ethical regulation are necessary to ensure responsible AI adoption in corporate settings.

References

[1] Aggarwal, S., Sharma, A., & Saxena, P. (2023). The role of artificial intelligence in enhancing cybersecurity: Applications and challenges. Journal of Information Engineering and Research, 3(2), 45–58. https://www.jier.org/index.php/journal/article/view/314

[2] Al-Azzawi, M., Doan, D., Sipola, T., Hautamäki, J., & Kokkonen, T. (2025). Red teaming with artificial intelligence-driven cyberattacks: A scoping review. arXiv. https://arxiv.org/pdf/2503.19626

[3] Alberto. (2025, March 18). Ethical dilemmas of AI: Balancing innovation. Business Case Studies. https://businesscasestudies.co.uk/the-ethical-dilemmas-of-ai-balancing-innovation-and- responsibility/

[4] Aldboush, H. H. H., & Ferdous, M. (2023). Building trust in fintech: An analysis of ethical and privacy considerations in the intersection of big data, AI, and customer trust. International Journal of Financial Studies, 11(3), 90. https://doi.org/10.3390/ijfs11030090

[5] Allal-Chérif, O., Puertas, R., & Carracedo, P. (2024). Intelligent influencer marketing: How AI-powered virtual influencers outperform human influencers. Technological Forecasting and Social Change,200. https://doi.org/10.1016/j.techfore.2023.123113

[6] AI chatbot Grok used to create child sexual abuse imagery, watchdog says. (2026, January). The Guardian. https://www.theguardian.com/technology/2026/jan/08/ai-chatbot-grok-used-to-create-child-sexual-abuse-imagery-watchdog-says

[7] Chakka, H. (2025). AI & Robotics Ethics in Business Law - Transparency, Bias, Accountability.

[8] Diller, S. J. (2024). Ethics in digital and AI coaching. Human Resource Development International, 27(4), 584–596. https://doi.org/10.1080/13678868.2024.2315928

[9] Figueroa-Armijos, M., Clark, B. B., & da Motta Veiga, S. P. (2022). Ethical perceptions of AI in hiring and organizational trust: The role of performance expectancy and social influence. Journal of Business Ethics, 186(1). https://doi.org/10.1007/s10551-022-05166-2

[10] Gerlich, M. (2024). Public anxieties about AI: Implications for corporate strategy and societal impact.

[11] Administrative Sciences, 14(11), 288. https://doi.org/10.3390/admsci14110288

[12] Hackers used Anthropic AI chatbot to automate unprecedented cybercrime spree. (2025, December).

[13] Computing. https://www.computing.co.uk/news/2025/security/hackers-used-anthropic-ai-chatbot-to-automate-unprecedented-cybercrime-spree

[14] Hao, X., & Demir, E. (2023). Artificial intelligence in supply chain decision-making: An environmental, social, and governance triggering and technological inhibiting protocol. Journal of Modelling in Management, 19(2). https://doi.org/10.1108/jm2-01-2023-0009

[15] Hauer, T. (2022, August 17). Importance and limitations of AI ethics in contemporary society. Nature News. https://www.nature.com/articles/s41599-022-01300-7

[16] Ireland’s Data Protection Commission investigates Musk’s Grok chatbot over sexualized deepfake images. (2026, January). AP News. https://apnews.com/article/elon-musk-x-grok-ai-deepfakes-sexual-c1a3039e5aaeb4dd517d995b8b301537

[17] Kopalle, P. K., Gangwar, M., & Uppal, A. (2024). Commentary on “AI is changing the world: For better or for worse?” Journal of Macromarketing, 44(4), 886–891. https://doi.org/10.1177/02761467241290813

[18] Ming, V. (2019). Human insight remains essential to beat the bias of algorithms. FT.com. ProQuest.

[19] Rodgers, W., & Nguyen, T. (2022). Advertising benefits from ethical artificial intelligence algorithmic purchase decision pathways. Journal of Business Ethics, 178(4). https://doi.org/10.1007/s10551-022-05048-7

[20] Štrukelj, T., & Dankova, P. (2025). Ethical leadership and management of small- and medium-sized enterprises: The role of AI in decision making. Administrative Sciences, 15(7), 274. https://doi.org/10.3390/admsci15070274

[21] Tóth, Z., Caruana, R., Gruber, T., & Loebbecke, C. (2022). The dawn of the AI robots: Towards a new framework of AI robot accountability. Journal of Business Ethics, 178(4), 895–916. https://doi.org/10.1007/s10551-022-05050-z

[22] Zhao, J. (Jingwen), & Wang, X. (2023). Unleashing efficiency and insights: Exploring the potential applications and challenges of ChatGPT in accounting. Journal of Corporate Accounting & Finance, 35(1). https://doi.org/10.1002/jcaf.22663