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A value sensitive design approach for designing AI-based worker assistance systems in manufacturing

Susanne Vernim, Harald Bauer, Erwin Rauch, Marianne Thejls Ziegler, Steven Umbrello

Year
2022
Citations
33

Abstract

Although artificial intelligence has been given an unprecedented amount of attention in both the public and academic domains in the last few years, its convergence with other transformative technologies like cloud computing, robotics, and augmented/virtual reality is predicted to exacerbate its impacts on society. The adoption and integration of these technologies within industry and manufacturing spaces is a fundamental part of what is called Industry 4.0, or the Fourth Industrial Revolution. The impacts of this paradigm shift on the human operators who continue to work alongside and symbiotically with these technologies in the industry bring with it novel ethical issues. Therefore, how to design these technologies for human values becomes the critical area of intervention. This paper takes up the case study of robotic AI-based assistance systems to explore the potential value implications that emerge due to current design practices and use. The design methodology known as Value Sensitive Design (VSD) is proposed as a sufficient starting point for designing these technologies for human values to address these issues.

Keywords

Transformative learningComputer scienceIndustry 4.0Value (mathematics)RoboticsEmerging technologiesCloud computingWork (physics)Artificial intelligenceEngineering management

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