what is black box ai

AI’s mysterious ‘black box’ problem, explained | University of …

AI's mysterious 'black box' problem, explained | University of ...

Learning by example is one of the most powerful and mysterious forces driving intelligence, whether you’re talking about humans or machines. Think, for instance, of how children first learn to recognize letters of the alphabet or different animals. You simply have to show them enough examples of the letter B or a cat and before long, they can identify any instance of that letter or animal. The basic theory is that the brain is a trend-finding machine. When it’s exposed to examples, it can identify qualities essential to cat-ness or B-ness, and these ultimately coalesce into decision protocols that give us the ability to categorize new experiences automatically and unconsciously. Doing this is easy. Explaining how we do this is essentially impossible. “It’s one of those weird things that you know, but you don’t know how you know it or where you learned it,” says Associate Professor of Electrical and Computer Engineering Samir Rawashdeh, who specializes in artificial intelligence. “It’s not that you forgot. It’s that you’ve lost track of which inputs taught you what and all you’re left with is the judgments.” 

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What is Black Box AI? Definition from TechTarget

What is Black Box AI? Definition from TechTarget

Black box AI is any artificial intelligence system whose inputs and operations aren’t visible to the user or another interested party. A black box, in a general sense, is an impenetrable system.

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BlackBox AI

BlackBox AI

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What is Black Box AI? – Definition from Techopedia

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects simply to a non-technical, business audience. Over…

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Why Are We Using Black Box Models in AI When We Don’t Need To …

Why Are We Using Black Box Models in AI When We Don't Need To ...

In 2018, a landmark challenge in artificial intelligence (AI) took place, namely, the Explainable Machine Learning Challenge. The goal of the competition was to create a complicated black box model for the dataset and explain how it worked. One team did not follow the rules. Instead of sending in a black box, they created a model that was fully interpretable. This leads to the question of whether the real world of machine learning is similar to the Explainable Machine Learning Challenge, where black box models are used even when they are not needed. We discuss this team’s thought processes during the competition and their implications, which reach far beyond the competition itself.

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What is a black box? A computer scientist explains what it means …

Metaphorical black boxes shield the inner workings of AIs, which protect software developers’ intellectual property. They also make it hard to understand how the AIs work – and why things go wrong.

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What is black-box AI, and how does it work?

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Black box – Wikipedia

In science, computing, and engineering, a black box is a system which can be viewed in terms of its inputs and outputs (or transfer characteristics), without any knowledge of its internal workings. Its implementation is “opaque” (black). The term can be used to refer to many inner workings, such as those of a transistor, an engine, an algorithm, the human brain, or an institution or government.

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200-Year-Old Math Opens Up AI’s Mysterious Black Box – IEEE …

200-Year-Old Math Opens Up AI's Mysterious Black Box - IEEE ...

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