The Human Element in AI Implementation: Insights from Two Decades in IT Project Management

References

[1] Kerzner, H. (2017). Project management: A systems approach to planning, scheduling, and controlling. Wiley.

[2] Westland, J. (2006). The project management life cycle: A complete step-by-step methodology for initiating, planning, executing & closing a project successfully. Kogan Page.

[3] Kotter, J. P. (1996). Leading change. Harvard Business Review Press.

[4] Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.

[5] Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.

[6] Boden, M. A. (2016). AI: Its nature and future. Oxford University Press.

[7] Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey Global Institute. Retrieved from https://www.mckinsey.com/mgi/overview

[8] Bose, R., & Luo, X. (2011). Integrative framework for assessing firms' potential to undertake Green IT initiatives via virtualization – A theoretical perspective. Journal of Strategic Information Systems, 20(1), 38-54.

[9] Project Management Institute. (2020). The standard for project management and a guide to the project management body of knowledge (PMBOK® guide) – Seventh edition. Retrieved from https://www.pmi.org/pmbok-guide-standards/foundational/pmbok

[10] AI Now Institute. (2021). Ethical AI guidelines. Retrieved from https://ainowinstitute.org/ethicalguidelines.html

[11] MIT Sloan Management Review. (2022). Artificial intelligence for business. Retrieved from https://sloanreview.mit.edu/projects/artificial-intelligence-for-business/

[12] Smith, J. (2020). Implementing AI in a large-scale IT project: A case study from the banking sector. Journal of Information Technology Management, 31(3), 45-58.

[13] Brown, A., & Wilson, D. (2019). Overcoming resistance to AI in the workplace. Harvard Business Review.

@article{1705487,
      author = {Maicon Roberto Martins},
      title = {The Human Element in AI Implementation: Insights from Two Decades in IT Project Management},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {8},
      pages = {452-460},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705487.pdf},
      abstract = {The shift from traditional IT projects to artificial intelligence (AI) initiatives has transformed the technological landscape, introducing new complexities and challenges. This article explores the critical role of the human element in AI implementation, drawing on insights from two decades of IT project management. By addressing key human challenges such as resistance to change, skill gaps, ethical concerns, and the need for cross-functional collaboration, the article underscores the importance of adapting traditional project management skills to AI projects. It provides a detailed examination of stakeholder management, change management, team building, and communication strategies, highlighting their relevance to AI initiatives. Through a hypothetical case study, the article demonstrates the application of these principles in a real-world scenario, offering practical lessons and best practices. Finally, it discusses future trends and the evolving role of project managers in the AI era, emphasizing the need for continuous learning, emotional intelligence, and a balanced approach to technical and people management skills.},
      keywords = {AI implementation, IT project management, Human-centric project management, Ethical AI, Skill development},
      month = {February},
  }