Uploaded March 2023 | Updated September 2026, 11 hours ago
Microsoft Future Leaders in Robotics and AI Seminar Series: Building Trustworthy Robotics for Better, Safer Industry
Online Seminar
Emily Collins
Research Scientist
Northeastern University
There is an increasing interest in considering, measuring, and implementing trust in human-robot interaction (HRI). New avenues in this field include identifying social means for robots to influence trust, and social aspects of trust such as a perceptions of robots' integrity, sincerity or even benevolence. However, questions remain regarding robots' authenticity in obtaining trust through social means and their capacity to increase such experiences through social interaction with users. Here I propose that the dyadic model of HRI misses a key complexity: a robot’s trustworthiness may be contingent on the user’s relationship with, and opinion of, the individual or organisation deploying the robot. I will discuss examples highlighting the need for trustworthy robotics and AI (RAI) in a variety of disparate environments. This will demonstrate that there is no one approach to the answer of trustworthy RAI, because a human’s relationship with the person, employer, government, etc, who has given them RAI to work with is not consistent. Along the way I will consider topics such as Theory of Mind (ToM), Interpretationism, and autonomy and Wittgenstein, as I discuss how solutions to the problem of trustworthy RAI for better, safer industry, should leverage as much interdisciplinary thinking as possible.
For more information on the Maryland Robotics Center see:
https://robotics.umd.edu
Microsoft Future Leaders in Robotics and AI Seminar Series: Building Trustworthy Robotics for Better, Safer Industry
Online Seminar
Emily Collins
Research Scientist
Northeastern University
There is an increasing interest in considering, measuring, and implementing trust in human-robot interaction (HRI). New avenues in this field include identifying social means for robots to influence trust, and social aspects of trust such as a perceptions of robots' integrity, sincerity or even benevolence. However, questions remain regarding robots' authenticity in obtaining trust through social means and their capacity to increase such experiences through social interaction with users. Here I propose that the dyadic model of HRI misses a key complexity: a robot’s trustworthiness may be contingent on the user’s relationship with, and opinion of, the individual or organisation deploying the robot. I will discuss examples highlighting the need for trustworthy robotics and AI (RAI) in a variety of disparate environments. This will demonstrate that there is no one approach to the answer of trustworthy RAI, because a human’s relationship with the person, employer, government, etc, who has given them RAI to work with is not consistent. Along the way I will consider topics such as Theory of Mind (ToM), Interpretationism, and autonomy and Wittgenstein, as I discuss how solutions to the problem of trustworthy RAI for better, safer industry, should leverage as much interdisciplinary thinking as possible.
For more information on the Maryland Robotics Center see:
https://robotics.umd.edu
