Work Minus Black Box Models with Rich Caruana
Por um escritor misterioso
Last updated 04 julho 2024
![Work Minus Black Box Models with Rich Caruana](https://thedigitalworkplace.com/wp-content/uploads/2018/09/Post-Img-RIchCaruana.png)
Rich Caruana thinks deeply about how AI is leading us into the future. But how helpful are black box models going to be for creating a better future?
![Work Minus Black Box Models with Rich Caruana](https://miro.medium.com/v2/resize:fit:1400/1*nbAnxsPHB2X2gIMm_tbaqA.png)
Explainable Artificial Intelligence: Technical Perspective — Part
![Work Minus Black Box Models with Rich Caruana](https://i1.rgstatic.net/publication/326008361_Open_the_Black_Box_Data-Driven_Explanation_of_Black_Box_Decision_Systems/links/5cdf3e46299bf14d95a38621/largepreview.png)
PDF) Open the Black Box Data-Driven Explanation of Black Box
![Work Minus Black Box Models with Rich Caruana](https://miro.medium.com/v2/resize:fit:1400/0*YI6DrJ1jVgGrYiD5.png)
Explainable AI — All you need to know. The what, how, why of
![Work Minus Black Box Models with Rich Caruana](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs10994-023-06335-8/MediaObjects/10994_2023_6335_Fig2_HTML.png)
Considerations when learning additive explanations for black-box
![Work Minus Black Box Models with Rich Caruana](https://www.researchgate.net/publication/372858634/figure/fig1/AS:11431281178709956@1691032137541/Our-approach-to-connect-LLMs-with-data-interpretations-By-using-glass-box-interpretable_Q320.jpg)
PDF) LLMs Understand Glass-Box Models, Discover Surprises, and
![Work Minus Black Box Models with Rich Caruana](https://www.researchgate.net/publication/348702377/figure/tbl1/AS:985357671727110@1611938984948/Accuracy-of-the-global-explainers-on-X-ts-adopted-as-replacement-of-the-black-box-models.png)
Accuracy of the global explainers on X ts adopted as replacement
![Work Minus Black Box Models with Rich Caruana](https://dl.acm.org/cms/asset/7fd74057-ff47-4523-b268-eebe0d9f27b8/tist-2021-07-0370-f01.jpg)
Incorporation of Data-Mined Knowledge into Black-Box SVM for
![Work Minus Black Box Models with Rich Caruana](https://media.springernature.com/m685/springer-static/image/art%3A10.1186%2Fs12911-019-0874-0/MediaObjects/12911_2019_874_Fig6_HTML.png)
On the interpretability of machine learning-based model for
![Work Minus Black Box Models with Rich Caruana](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs10994-023-06335-8/MediaObjects/10994_2023_6335_Fig6_HTML.png)
Considerations when learning additive explanations for black-box
![Work Minus Black Box Models with Rich Caruana](https://miro.medium.com/v2/resize:fit:2000/1*RNjfqTZXzQE7S5tV7Do_0Q.png)
Meta-Learning Is All You Need. Meta-learning is a learning
![Work Minus Black Box Models with Rich Caruana](https://i1.rgstatic.net/publication/372858634_LLMs_Understand_Glass-Box_Models_Discover_Surprises_and_Suggest_Repairs/links/64cb1929d394182ab39aed76/largepreview.png)
PDF) LLMs Understand Glass-Box Models, Discover Surprises, and
![Work Minus Black Box Models with Rich Caruana](https://d3i71xaburhd42.cloudfront.net/41578296efae9cdb1a54c7ef642465a3f91d8724/1-Figure1-1.png)
PDF] Interpretable & Explorable Approximations of Black Box Models
![Work Minus Black Box Models with Rich Caruana](https://i1.rgstatic.net/publication/373382966_Interpreting_Black-Box_Models_A_Review_on_Explainable_Artificial_Intelligence/links/64e8b91440289f7a0fb74165/largepreview.png)
PDF) Interpreting Black-Box Models: A Review on Explainable
![Work Minus Black Box Models with Rich Caruana](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41467-023-43713-1/MediaObjects/41467_2023_43713_Fig4_HTML.png)
Augmenting interpretable models with large language models during
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