The Role of AI-Based Decision Support Systems in Revitalizing American Tech Product Manufacturing
Keywords:
Decision Support Systems, Tech Product ManufacturingAbstract
The introduction section of this essay serves as a foundational overview of the role of AI-based decision support systems in revitalizing American tech product manufacturing. It sets the stage for the subsequent discussions by outlining the main themes and providing context for the reader. The societal implications of industrial AI in manufacturing are complex and multifaceted, encompassing potential workforce gains and losses, job upskilling and deskilling, shifts in cybersecurity vulnerability, and environmental impacts. [1] emphasize the need for a balanced awareness among managers, policymakers, workers, and the public regarding the capabilities, dangers, and benefits of AI in manufacturing. The authors stress the importance of understanding the potential applications and implications of artificial intelligence in manufacturing to inform management, governance, and further research.
This introduction paves the way for a detailed examination of the societal implications of manufacturing AI, which is essential for constructing a prosperous and broadly beneficial future for manufacturing. It also provides a glimpse of the subsequent sections, which will delve into the typology of potential AI applications in manufacturing, implications for industrial artificial intelligence for individual firms and society at large, and the techno-optimistic tenor of the reviewed literature, among other aspects.
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