Abstract
With the importance of transparency for autonomous intelligent systems (AISs) becoming clear to the robotics community, definitions of transparency and guidelines for its implementation have started being proposed. In this paper, we adopt from the literature a model characterizing different aspects of transparency in the light of human-robot interaction and apply it to the specific case of robots learning from humans. Requirements deriving by the specific nature of learning systems are remarked and the main challenges highlighted and discussed.
Original language | English |
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Number of pages | 2 |
Publication status | Published - 2018 |
MoE publication type | Not Eligible |
Event | ACM/IEEE International Conference on Human-Robot Interaction - Chicago, United States Duration: 5 Mar 2018 → 8 Mar 2018 Conference number: 13 http://humanrobotinteraction.org/2018/ |
Conference
Conference | ACM/IEEE International Conference on Human-Robot Interaction |
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Abbreviated title | HRI |
Country/Territory | United States |
City | Chicago |
Period | 05/03/2018 → 08/03/2018 |
Internet address |
Keywords
- autonomous intelligent systems
- robot learning
- transparency