Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions

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Tác giả: George Baryannis, Alexandra Brintrup, Giovanna Martinez-Arellano, Svetan Ratchev, Jatinder Singh, Ashutosh Tiwari

Ngôn ngữ: eng

Ký hiệu phân loại: 070.11 Documentary media, educational media, news media; journalism; publishing

Thông tin xuất bản: 2023

Mô tả vật lý:

Bộ sưu tập: Metadata

ID: 197323

Comment: Pre-print under peer-reviewWhile the increased use of AI in the manufacturing sector has been widely noted, there is little understanding on the risks that it may raise in a manufacturing organisation. Although various high level frameworks and definitions have been proposed to consolidate potential risks, practitioners struggle with understanding and implementing them. This lack of understanding exposes manufacturing to a multitude of risks, including the organisation, its workers, as well as suppliers and clients. In this paper, we explore and interpret the applicability of responsible, ethical, and trustworthy AI within the context of manufacturing. We then use a broadened adaptation of a machine learning lifecycle to discuss, through the use of illustrative examples, how each step may result in a given AI trustworthiness concern. We additionally propose a number of research questions to the manufacturing research community, in order to help guide future research so that the economic and societal benefits envisaged by AI in manufacturing are delivered safely and responsibly.
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