Paper Title
An empirical examination of the challenges and methods associated with the management of artificial intelligence systems
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: Authors
Keywords
Artificial intelligence, challenges, AI systems, management, automation
Abstract
This research focuses on assessing the intrigues of managing artificial intelligence systems. The expansive adoption of artificial intelligence systems, in various sectors, has ushered in a new era of transformative technological abilities. Nevertheless, the rapid integration of AI has come hand-in-hand with numerous obstacles in efficiently managing these intricate systems. This empirical investigation aims to scrutinize and analyze the multifarious issues faced while managing AI systems and seeks to bring into focus the methodologies and strategies employed to tackle these roadblocks. In today's world, AI systems play pivotal roles across industries like health care and finance by driving innovation and efficacy [1]. Nonetheless, handling these systems involves grappling with concerns related to data privacy, ethical factors, compliance with regulations, and the dynamic traits of AI technologies. This research employs real-world data and case studies to explore the intricacies tied to these challenges along with their consequences. Moreover, this survey dives deeper into the assortment of methods and tactics formulated to navigate the landscape of AI management successfully [2]. These encompass frameworks for governance, evaluation protocols for risks, mechanisms for continuous monitoring, and collaboration models between humans and AI systems. Coupling insights from actual experiences along with best practices this study provides valuable contributions to this evolving field.
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How To Cite (APA)
Ibrahim Ali Mohammed (March-2023). An empirical examination of the challenges and methods associated with the management of artificial intelligence systems. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(3), e750-e754. https://ijnrd.org/papers/IJNRD2303498.pdf
Issue
Volume 8 Issue 3, March-2023
Pages : e750-e754
Other Publication Details
Paper Reg. ID: IJNRD_208160
Published Paper Id: IJNRD2303498
Downloads: 000122019
Research Area: Engineering
Author Type: Indian Author
Country: -, -, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2303498.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303498
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