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2 results

Accountable Design
  • Bringing Law into Human-Centred Computing
  • Lachlan David Urquhart
  • Published online:
    18 September 2026
    Print publication:
    17 September 2026
  • In the face of the everchanging and increasingly complex regulatory and socio-technical challenges posed by AI and the Internet of Things, there is an urgent need for closer collaboration between technology designers and lawyers. Accountable Design provides a timely framework for bridging disciplines to design legally accountable technologies. Proposing the new concept of Accountable Design, Lachlan David Urquhart explores how to incorporate legal values into human-centered design processes. Three novel case studies ground discussion by showcasing uses of new technologies in cities, homes, and biometric applications while exploring how to design for privacy, security, trust, and safety. The book synthesizes insights from across technology law, human-computer-interaction, design research, science and technology studies, and philosophy of technology to address the challenges of building better technological design futures for humans and society.

  • 1 - Tracing the Path to Clever Computing

  • Lachlan David Urquhart, University of Edinburgh
  • Book:
    Accountable Design
    Published online:
    18 September 2026
    Print publication:
    17 September 2026, pp 1-32
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  • Summary

    Chapter 1 provides an overall introduction to the book and its underlying motivations. It proposes and defines the concept of Clever Computing. It presents the historical emergence of the Internet of Things, AI, and Ubiquitous Computing, and analyses the risks of technological visions of the future which often neglect current social and human needs in favour of techno-led solutions. It explores the need to account for human needs in design and, by extension, legal values. The term Clever Computing is contextualised by exploring different examples of how AI and IoT are increasingly converging. This focuses on the ways AI is changing and improving interaction techniques with IoT; how AI is being used to make sense of IoT data and enabling distributed data analysis; and how AI is augmenting the existing functionality and increasing the autonomy of IoT systems.