AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation

Despite the performance of state-of-the-art Artificial Intelligence (AI) systems, some sectors hesitate to adopt AI because of a lack of trust in these systems. This attitude is prevalent among high-risk areas, where there is a reluctance to remove humans entirely from the loop. In these scenarios,...

Full description

Saved in:
Bibliographic Details
Main Authors: Marino, Daniel L., Grandio, Javier, Wickramasinghe, Chathurika S., Schroeder, Kyle, Bourne, Keith, Filippas, Afroditi V., Manic, Milos
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Augmentation
Automation
Buildings
Robots
Robustness
Shared Autonomy
Task analysis
Teleoperation
Trustworthy AI
Uncertainty
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Despite the performance of state-of-the-art Artificial Intelligence (AI) systems, some sectors hesitate to adopt AI because of a lack of trust in these systems. This attitude is prevalent among high-risk areas, where there is a reluctance to remove humans entirely from the loop. In these scenarios, Augmentation provides a preferred alternative over complete Automation. Instead of replacing humans, AI Augmentation uses AI to improve and support human operations, creating an environment where humans work side by side with AI systems. In this paper, we discuss how AI Augmentation can provide a path for building Trustworthy AI. We exemplify this approach using Robot Teleoperation. We lay out design guidelines and motivations for the development of AI Augmentation for Robot Teleoperation. Finally, we discuss the design of a Robot Teleoperation testbed for the development of AI Augmentation systems.
ISSN:2158-2254
DOI:10.1109/HSI49210.2020.9142659