Explain yourself, mister: Fresh efforts at Google to understand why an AI system says yes or no
https://www.theregister.co.uk/2019/11/29/explainable_ai_new_google_effort_to_understand_why_computer_says_yes_or_no/
Google has announced a new Explainable AI feature for its cloud platform, which provides more information about the features that cause an AI prediction to come up with its results.
Artificial neural networks, which are used by many of today's machine learning and AI systems, are modelled to some extent on biological brains. One of the challenges with these systems is that as they have become larger and more complex, it has also become harder to see the exact reasons for specific predictions. Google's white paper on the subject refers to "loss of debuggability and transparency".
Explain yourself, mister: Fresh efforts at Google to understand why an AI system says yes or no
Nov 29, 2019, 2:19pm UTC
https://www.theregister.co.uk/2019/11/29/explainable_ai_new_google_effort_to_understand_why_computer_says_yes_or_no/
> Google has announced a new Explainable AI feature for its cloud platform, which provides more information about the features that cause an AI prediction to come up with its results.
> Artificial neural networks, which are used by many of today's machine learning and AI systems, are modelled to some extent on biological brains. One of the challenges with these systems is that as they have become larger and more complex, it has also become harder to see the exact reasons for specific predictions. Google's white paper on the subject refers to "loss of debuggability and transparency".