Laws of Edu-Automation? Three Different Approaches to Deal with Processes of Automation and Artificial Intelligence in the Field of Education

This contribution reports on a symposium that aimed to collectively discuss different approaches to deal with processes of automation and artificial intelligence (AI) in the field of education. Inspired by Asimov’s Laws of Robotics and Pasquale's recently published NewLawsofRobotics, the symposium’s purpose was to collectively advance laws that would be specifically tailored to the field of education. In that regard, the term edu-automation seeks to propose ways of conceptualizing and imagining automation as an educational endeavor; that is, not as a purely technical-factual matter that is subsequently translated into educational practice, but equally as a matter of educational concern. Through three narratives and propositions, this contribution discusses similarities and differences between the concepts of automation and AI, and shows some of the different features that tie education and automation together. The variety and substantial differences between the three accounts shows that automation and AI cannot be approached single-sidedly, and that in order to come to a profound understanding of this phenomenon, we need to deploy a variety of theoretical, educational, and normative standpoints and positions.