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#48 Interpretability Might Not Be What Society Is Looking for in AI

Towards AI

— Louis-François Bouchard, Towards AI Co-founder & Head of Community If you missed last week’s big update, here’s a quick reminder that Building LLMs for Production (second edition) is now available as an e-book at an exclusive price on Towards AI Academy!

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How Do Inherently Interpretable AI Models Work? — GAMINET

Towards AI

Source: interpretable-ml-book The field of deep learning has grown exponentially and the recent craze about ChatGPT is proof of the same. It is very risky to apply these black-box AI systems in real-life applications, especially in sectors like banking and healthcare.

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Copyright, AI, and Provenance

O'Reilly Media

But reading texts has been part of the human learning process as long as reading has existed; and, while we pay to buy books, we don’t pay to learn from them. Any of these prompts might generate book sales—but whether or not sales result, they will have expanded my knowledge. In the future, AIs may be included among those ghostwriters.

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Unlocking the Black Box: LIME and SHAP in the Realm of Explainable AI

Mlearning.ai

Unlike traditional ‘black boxAI models that offer little insight into their inner workings, XAI seeks to open up these black boxes, enabling users to comprehend, trust, and effectively manage AI systems. WRITER at MLearning.ai / New York Times vs. AI / The Best 2023 AI Mlearning.ai

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The Daunting Influence of A.I.- Shaping a New World Order Revealed!

Artificial Corner

Throughout history, religions have claimed that their holy books were authored by non-human intelligence. While this assertion was unsubstantiated in the past, the rise of AI presents the possibility of it becoming a real reality. Often referred to as the “black box,” AI algorithms can be complex and difficult to comprehend fully.