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Improving The Quality Of The Decision-Making Process For Management And Implementation Of Shared Artificial Intelligence Platforms

Author

Listed:
  • Aurel Mihail TITU
  • Alexandru STANCIU
  • Lucian TARNU

Abstract

Various industries have already adopted the concept of autonomous, self-evolving, and self-managing artificial intelligence platforms with strong cross-cultural and inter-technological outreach. The development and management of the end-to-end, shared, data-driven software development between multiple organizations and industries is still a rare phenomenon. The decision-making process for adopting and sharing artificial intelligence at scale across various cultures, companies, and groups envisions many factors, including regulatory compliance, privacy, economic, ethical, intellectual property, engineering, cultural bias, transparency, accountability, design, to data science and computer science. This paper addresses the challenges and breakthroughs that advance and elevate artificial intelligence as the new norm of modern life and concludes in the last part with a personal vision and contribution that unlock further research areas.

Suggested Citation

  • Aurel Mihail TITU & Alexandru STANCIU & Lucian TARNU, 2020. "Improving The Quality Of The Decision-Making Process For Management And Implementation Of Shared Artificial Intelligence Platforms," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 120-130, November.
    • Handle: RePEc:rom:mancon:v:14:y:2020:i:1:p:120-130
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