What can regulators learn from cognitive engineering? CEC researchers will try to answer

DEC 15, 2016 – What can regulators of human-autonomous systems learn from the literature of cognitive engineering? Five CEC researchers, Marc Canellas, Rachel Haga, Matthew Miller, Yosef Razin, and Dev Minotra, will try to answer this question with their paper, “An Engineer’s Cheat-Sheet for Regulators of Human-Autonomous Systems.” The paper was among the 10% of abstracts accepted to WeRobot 2017, the premier robot law conference in the country, to be held at Yale Law School, one of the top law schools in the U.S. and the world. Their paper builds off two previous articles by Canellas and Haga (20152016) by addressing five major concerns of regulating human-autonomous systems:

  1. Definitions: How do we define different types of human-autonomous systems?
  2. Complexity: How do we design, develop, test, and manage complex, human-autonomous systems?
  3. Safety: How do we set and enforce standards for safe operations of human-autonomous systems?
  4. Transparency: How do we identify and design the right levels of transparency within human-autonomous system?
  5. Accountability: How do we determine responsibility for the actions of human-autonomous systems?
Map of Cognitive Engineering Center

Cognitive Engineering Center (CEC)
Georgia Institute of Technology
270 Ferst Drive
Atlanta GA 30332-0150