Authors : Rohan Chhatre; Dr. Seema Singh

Volume/Issue : Volume 9 - 2024, Issue 5 - May

---

Google Scholar : https://tinyurl.com/mvr9xuxr

Scribd : https://tinyurl.com/yc26dxnz

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAY2051

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

---

Abstract : The integration of Artificial Intelligence (AI) into various sectors is both revolutionary and fraught with ethical, social, and regulatory challenges. This paper explores the complex landscape of AI governance, emphasizing the critical balance between innovation and responsibility. By examining the multifaceted impacts of AI, including algorithmic bias, privacy concerns, safety hazards, and ethical considerations, this review highlights the urgent need for a comprehensive framework of harmony. Through a synthesis of key literature and thought leadership from notable scholars, this study underscores the importance of ethical stewardship, collaborative policymaking, and international cooperation in navigating the AI jungle.

Keywords : Artificial Intelligence (AI), Organizational Change, AI Governance, Ethical AI, Algorithmic Bias, Privacy, Safety Hazards, Innovation, Regulatory Frameworks, International Cooperation.

References :

1. European Commission (2021). Proposal for a Regulation of the European Parliament and of the Council Laying Down Rules on Artificial Intelligence and Repealing Council Directive (EU) 2016/679.
2. Brundage, Miles, et al. (2020). The malicious use of artificial intelligence: Forecasting, prevention, and mitigation.
3. Zuboff, Shoshana (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power.
4. Wu, Timnit Gebru (2020). Technical debt and the social cost of ineffective AI.
5. OECD (2019). OECD Recommendation on Artificial Intelligence.
6. Adebayo, Osisanwo, et al. (2016). Fairness in criminal risk assessment: The limitations of demographic debiasing.
7. Pasquale, Frank (2016). The Black Box of Algorithmic Justice: Data, Discretion, and the Future of Law. Oxford University Press.
8. Selbst, David (2020). Fairness and Abstraction in Sociotechnical Systems. Proceedings of the Fairness, Accountability, and Transparency (FAT*) Conference.
9. Jobin, Wesley, et al. (2019). The ethics of AI in law: A review of research and recommendations for the future. Science Robotics, 4(30), eaav7776.
10. Wagner, Michael (2018). The Algorithmic Society: Social and Political Consequences of Data-Centric Technologies. Oxford University Press.
11. Barocas, S., & Selbst, A. D. (2016). Big data's disparate impact. California Law Review, 104(3), 671-737.
12. Gebru, T., Morgenstern, J., Vecchione, B., Shin, J. L., Liu, B., Haas, L., ... & Lakkaraju, N. (2020). On the dangers of stochastic parrots: Can language models be too big?
13. Ohm, S. (2010). The GDPR and personal data in the cloud: What's new, what's old, and what's still missing. Berkeley Technology Law Journal, 25(3), 879-920.
14. Goodman, B., & Flaxman, S. (2016). European views on data protection and access: A public opinion survey. Science, 351(6275), 1080-1084.
15. Brundage, M., Amodei, D., Clark, J., Mitchell, M., Russell, S., & Tegmark, M. (2020). The malicious use of artificial intelligence: Forecasting, prevention, and mitigation
16. Brynjolfsson, E., & McAfee, A. (2019). The business of artificial intelligence. Harvard Business Review.
17. Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlström, P., … & Trench, M. (2019). Artificial intelligence: The next digital frontier? McKinsey Global Institute.
18. Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial Intelligence and the 'Good Society': The US, EU, and UK approach. Science and Engineering Ethics, 24(2), 505-528.
19. Chui, M., Manyika, J., & Miremadi, M. (2020). What AI can and can’t do (yet) for your business. McKinsey Quarterly.
20. Grote, T., & Berens, P. (2020). On the ethics of algorithmic decision-making in healthcare. Journal of Medical Ethics, 46(3), 205-211.
21. Westerman, G., Bonnet, D., & McAfee, A. (2019). Leading digital: Turning technology into business transformation. Harvard Business Review Press.
22. Wilson, H. J., & Daugherty, P. R. (2018). Collaborative Intelligence: Humans and AI Are Joining Forces. Harvard Business Review.