AI Ethics Online: Transparency and Trust in Humanoid Robots: A Case for Non-Verbal Signals

​AI Ethics Online with Christian Balkenius, professor from Lund University

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Title: ​
Transparency and Trust in Humanoid Robots: A Case for Non-Verbal Signals

It is a common idea that robots need to be completely transparent for people to trust them. Although transparency is a worthwhile goal in itself, I want to argue that, in practice, it has little to do with trust. Most AI systems are too complex to understand without substantial effort and it is not likely that most people will want to spend much time to understand the inside of a robot control system. Instead, I propose that as much as possible of the operation of a robot should take place in the external world, that is accessible to both robots and humans, using mostly local information, and that robot behaviours should aim to communicate the goals and intentions of the robot to facilitate the prediction of its behavior. Just like we trust other people, not because the know exactly how their brains work, but because we are confident that we can predict their behaviours, robots can use non-verbal cues to become more predictable. I will report on current research towards this aim.

Abstract: ​Christian Balkenius is a professor of Cognitive Science at Lund University. His research focuses on cognitive modelling and humanoid robots. He currently leads the research school within The Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society. christian_balkenius_2.jpeg

About AI ETHICS at Chalmers

A series of seminars highlighting ethical perspectives of artificial intelligence. The series will feature invited speakers and Chalmers researchers with the aim of cultivating an informed discussion on ethical issues. The seminars are organised by the AI Ethics Committee , within Chalmers AI Research Centre (CHAIR). ​
Category Seminar
Location: Online, Zoom
Starts: 14 September, 2021, 13:15

Page manager Published: Mon 04 Oct 2021.