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Navigating AI Adaptation in Organizational Operations: Challenges, Strategies, and Ethical Considerations

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  • AL-ALosi, ALI

Abstract

The article "Navigating AI Adaptation in Organizational Operations: Challenges, Strategies, and Ethical Considerations" delves into the complexities of integrating artificial intelligence (AI) into organizational contexts, highlighting the significant challenges and strategic approaches necessary for successful adaptation. The study emphasizes the critical role of addressing ethical considerations, security risks, and organizational hesitation in effectively implementing AI technologies. Key findings reveal that ethical issues, such as biases in AI algorithms and the need for transparency and accountability, are paramount in building trust and ensuring responsible AI use. Security risks, including data breaches and unauthorized access, must be mitigated through robust cybersecurity measures and data governance frameworks. Additionally, the research underscores organizational hesitation stemming from resistance to change, lack of top management support, and inadequate infrastructure, which impede AI adaptation. The article provides practical recommendations, including the development of ethical guidelines, robust security measures, regulatory preparedness, and employee training programs, to help organizations navigate these challenges and achieve secure, ethical, and effective AI integration.

Suggested Citation

  • AL-ALosi, ALI, 2025. "Navigating AI Adaptation in Organizational Operations: Challenges, Strategies, and Ethical Considerations," OSF Preprints z78fu_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:z78fu_v1
    DOI: 10.31219/osf.io/z78fu_v1
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    2. Sayed Fayaz Ahmad & Heesup Han & Muhammad Mansoor Alam & Mohd. Khairul Rehmat & Muhammad Irshad & Marcelo Arraño-Muñoz & Antonio Ariza-Montes, 2023. "Correction: Impact of artificial intelligence on human loss in decision making, laziness and safety in education," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-1, December.
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