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Framing Human-Automation Regulation: A New Modus Operandi from Cognitive Engineering

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  • Canellas, Marc
  • Haga, Rachel

Abstract

CITE AS: Canellas, Marc and Haga, Rachel and Miller, Matthew and Bhattacharyya, Raunak and Minotra, Dev and Razin, Yosef, Framing Human-Automation Regulation: A New Modus Operandi from Cognitive Engineering (March 23, 2017). We Robot 2017 at Yale School of Law. Human-automated systems are becoming ubiquitous in our society, from the one-on-one interactions of a driver and their automated vehicle to large-scale interactions of managing a world-wide network of commercial aircraft. Realizing the importance of effectively governing these human-automated systems, there been a recent renaissance of legal-ethical analysis of robotics and artificial-intelligence-based systems. As cognitive engineers, we authored this paper to embrace our responsibility to support effective governance of these human-automated systems. We believe that there are unique synergies between the cognitive engineers who shape human-automated systems by designing the technology, training, and operations, and the lawyers who design the rules, laws, and governance structures of these systems. To show how cognitive engineering can provide a foundation for effective governance, we define and address five essential questions regarding human-automated systems: 1) Complexity: What makes human-automation systems complex? 2) Definitions: How should we define and classify different types of human-autonomous systems? 3) Transparency: How do we determine and achieve the right levels of transparency for operators and regulators? 4) Accountability: How should we determine responsibility for the actions of human-automation systems? 5) Safety: How do human-automated systems fail? Our answers, drawn from the diverse domains related to cognitive engineering, show that care should be taken when making assumptions about human-automated systems, that cognitive engineering can provide a strong foundation for legal-ethical regulations of human-automated systems, and that there is still much work to be done by lawyers, ethicists, and technologists together.

Suggested Citation

  • Canellas, Marc & Haga, Rachel, 2017. "Framing Human-Automation Regulation: A New Modus Operandi from Cognitive Engineering," LawArXiv yu2h3, Center for Open Science.
    • Handle: RePEc:osf:lawarx:yu2h3
    DOI: 10.31219/osf.io/yu2h3
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    References listed on IDEAS

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    1. Canellas, Marc & Haga, Rachel, 2016. "Lost in Translation: Building a Common Language for Regulating Autonomous Weapons," LawArXiv z5mye, Center for Open Science.
    2. W. Clifton Baldwin & Wilson N. Felder & Brian J. Sauser, 2011. "Taxonomy of increasingly complex systems," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 9(3), pages 298-316.
    3. Davide Castelvecchi, 2016. "Can we open the black box of AI?," Nature, Nature, vol. 538(7623), pages 20-23, October.
    4. Gordon R. Foxall, 2005. "Understanding Consumer Choice," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-51002-9, September.
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