Machine learning & AI
A person's distrust in humans predicts they will have more trust in artificial intelligence's ability to moderate content online, according to a recently published study. The findings, the researchers say, have practical ...
Sep 22, 2022
1
681
Robotics
As robots become increasingly advanced, they are likely to find their way into many real-world settings, including homes, offices, malls, airports, health care facilities, and assisted living spaces. To promote their widespread ...
Security
We use internet-connected devices to access our bank accounts, keep our transport systems moving, communicate with our colleagues, listen to music, undertake commercially sensitive tasks—and order pizza. Digital security ...
May 27, 2022
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22
Robotics
Over the past few decades, roboticists and computer scientists have developed increasingly advanced systems that can interact with humans and complete numerous everyday tasks. While robots are rapidly advancing, for humans ...
Robotics
The implementation of robotics in various aspects of life is becoming increasingly widespread, but nevertheless leads to conflicting opinions. Positive factors and arguments based on innovation, efficiency, precision and ...
Feb 2, 2022
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5
Other
The Artificial Intelligence industry should create a global community of hackers and "threat modelers" dedicated to stress-testing the harm potential of new AI products in order to earn the trust of governments and the public ...
Dec 9, 2021
2
386
Robotics
Trust is a very important aspect of human-robot interactions, as it could play a crucial role in the widespread implementation of robots in real-world settings. Nonetheless, trust is a considerably complex construct that ...
Automotive
Recent studies have shown that people have negative attitudes about using autonomous systems because they don't trust them. Moreover, research shows a human-centered approach in autonomy is perceived as more trustworthy by ...
Aug 25, 2021
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538
Robotics
When robots make mistakes—and they do from time to time—reestablishing trust with human co-workers depends on how the machines own up to the errors and how human-like they appear, according to University of Michigan research.
Aug 10, 2021
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300
Robotics
Researchers at University of Michigan have recently developed a bi-directional model that can predict how much both humans and robotic agents can be trusted in situations that involve human-robot collaboration. This model, ...
