Robotics

A conceptual framework for modeling human-robot trust

Researchers at Pennsylvania State University, MIT and Georgia Institute of Technology have recently developed a conceptual framework to model the human-robot trust phenomenon. Their framework, outlined in a paper published ...

Engineering

New models sense human trust in smart machines

New "classification models" sense how well humans trust intelligent machines they collaborate with, a step toward improving the quality of interactions and teamwork.

Robotics

Do robots have to be human-like for us to trust them?

Recently published research assessed human trust when collaborating with eyed and non-eyed robots of the same type. The data suggest that humans might not need human-like machines to trust and work with them. Instead, they ...

Robotics

Forgive or forget: What happens when robots lie?

Imagine a scenario. A young child asks a chatbot or a voice assistant if Santa Claus is real. How should the AI respond, given that some families would prefer a lie over the truth?

Machine learning & AI

Strengthening trust in machine-learning models

Probabilistic machine learning methods are becoming increasingly powerful tools in data analysis, informing a range of critical decisions across disciplines and applications, from forecasting election results to predicting ...

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