Unite.AI

APRIL 9, 2024

Several times black-box AI models have produced unintended consequences, including biased decisions and lack of interpretability. Composite AI is a cutting-edge approach to holistically tackling complex business problems. It achieves this by integrating multiple analytical techniques into a single solution.

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Towards AI

DECEMBER 19, 2023

Source: interpretable-ml-book The field of deep learning has grown exponentially and the recent craze about ChatGPT is proof of the same. The models are becoming more and more complex with deeper layers leading to greater accuracy. One issue with this current trend is the focus on interpretability is lost at times.

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Neural Network AI Modeling Black Box AI Explainability 122

DataRobot Blog

APRIL 29, 2022

The new field of MLOps offers a much stronger framework for model validation, documentation, and oversight than traditional manual efforts, while more closely aligning to the ever increasing regulatory requirements and vastly reducing “model risk.”. The Framework for ML Governance. appeared first on DataRobot AI Cloud.

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O'Reilly Media

DECEMBER 12, 2023

What is contained in the model is an enormous set of parameters based on all the content that has been ingested during training, that represents the probability that one word is likely to follow another. The ability to emit a sonnet that Shakespeare never wrote: that’s transformative, even if the new sonnet isn’t very good.

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Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI?

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