IMPROVING THE QUALITY OF THE DECISION-MAKING PROCESS FOR MANAGEMENT AND IMPLEMENTATION OF SHARED ARTIFICIAL INTELLIGENCE PLATFORMS

Aurel Mihail Titu, Alexandru Stanciu and Lucian Tarnu

Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, 2020, vol. 14, issue 1, 120-130

Abstract: 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.

Keywords: artificial intelligence; platforms; decision-making process (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:rom:mancon:v:14:y:2020:i:1:p:120-130

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