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Explained: How to tell if artificial intelligence is working way we want it to

Explained: How to tell if artificial intelligence is working way we want it to
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Yilun Zhou , Marzyeh Ghassemi , Artificial Intelligence Laboratory , Healthy Ml Group , Interactive Robotics Group Of The Computer Science , Interactive Robotics Group , Computer Science ,

Explained: How to tell if artificial intelligence is working the way we want it to

Deep-learning models have become very powerful, but that has come at the expense of transparency. As these models are used more widely, a new area of research has risen that focuses on creating and testing explanation methods that may shed some light on the inner-workings of these black-box models. ....

Yilun Zhou , Marzyeh Ghassemi , Artificial Intelligence Laboratory , Healthy Ml Group , Interactive Robotics Group Of The Computer Science , Interactive Robotics Group , Computer Science , Marzyeh Ghassemi , Explainable Ai , Deep Learning , Black Box Models , Eature Attribution Methods , Explainable Artificial Intelligence ,

Machine-learning explainability: Black-box models

We try and breakdown how machine learning has evolved. Black boxes are essentially modern machine learning models. They are intricate and have even confounded researchers ....

Julie Shah , Yilun Zhou , Marco Tulio Ribeiro , Microsoft Research , Artificial Intelligence Laboratory , Interactive Robotics Group , Computer Science , Machine Learning , Artificial Intelligence , Black Boxes ,

Unpacking black-box models

Unpacking black-box models
miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.

United States , Yilun Zhou , Julie Shah , Marco Tulio Ribeiro , Microsoft Research , Artificial Intelligence Laboratory , Interactive Robotics Group , National Science Foundation , Computer Science , North American Chapter , National Science ,

Unpacking black-box models - ScienceBlog.com

Modern machine-learning models, such as neural networks, are often referred to as “black boxes” because they are so complex that even the researchers who ....

United States , Yilun Zhou , Julie Shah , Marco Tulio Ribeiro , Microsoft Research , Artificial Intelligence Laboratory , Interactive Robotics Group , National Science Foundation , Computer Science , North American Chapter , National Science ,