Interpretable AI: Building explainable machine learning systems

Price: $59.99 – $51.42
(as of Dec 24,2024 03:32:04 UTC – Details)

Publisher ‏ : ‎ Manning (July 5, 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 328 pages
ISBN-10 ‏ : ‎ 161729764X
ISBN-13 ‏ : ‎ 978-1617297649
Item Weight ‏ : ‎ 1.34 pounds
Dimensions ‏ : ‎ 7.38 x 0.8 x 9.25 inches

Interpretable AI: Building explainable machine learning systems

In the world of artificial intelligence, there is a growing need for transparency and interpretability in machine learning systems. As AI continues to be integrated into various aspects of our lives, it is crucial for users to understand how these systems make decisions and why they recommend certain actions.

Enter interpretable AI, a field of research focused on developing machine learning models that are transparent and explainable. By building models that can provide insights into their decision-making processes, researchers hope to increase trust in AI systems and improve their overall effectiveness.

There are several approaches to building interpretable AI systems, including using simpler models that are easier to understand, incorporating feature importance techniques to highlight the most influential factors, and providing explanations for individual predictions.

By prioritizing interpretability in AI development, we can ensure that these systems are used responsibly and ethically. As the demand for AI continues to grow, it is essential that we prioritize transparency and accountability in the development of machine learning models.
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