Abstract
The resurgence of Artificial Intelligence (AI) raises concerns related to the risk of introducing opaque solutions and deferring responsibility to black-boxed systems. This paper suggests re-contextualising extant sociotechnical design principles to deliver AI-infused systems that enhance human agency without removing human responsibility. Specifically, Cherns´ principles for regulating variance, boundaries and authority and Clegg´s principles for coordinating tasks, processes and attitudes are used. These principles are introduced in an empirical study within a public service organization in Norway that is exploring artificial intelligence to deliver more efficient services to citizens while being committed to doing it responsibly. The design principles can support practitioners engaged in the introduction of AI in organisations, and serve researchers that aim to conceptualize and develop processes for accountability by design.
Recommended Citation
Vassilakopoulou, Polyxeni, "Sociotechnical Approach for Accountability by Design in AI Systems" (2020). ECIS 2020 Research-in-Progress Papers. 12.
https://aisel.aisnet.org/ecis2020_rip/12
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