how to use black ox ai

BlackBox AI

BlackBox AI

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What is Black Box AI? Definition from TechTarget

Black box AI doesn’t offer insight into its decision-making processes. Learn the pros and cons of this model and how it compares to white box AI.

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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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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 Model? Definition, Uses, and Examples

A black box model is a system using inputs and outputs to create useful information, without any knowledge of its internal workings.

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Peeking Inside the Black-Box: A Survey on Explainable Artificial …

At the dawn of the fourth industrial revolution, we are witnessing a fast and widespread adoption of artificial intelligence (AI) in our daily life, which contributes to accelerating the shift towards a more algorithmic society. However, even with such unprecedented advancements, a key impediment to the use of AI-based systems is that they often lack transparency. Indeed, the black-box nature of these systems allows powerful predictions, but it cannot be directly explained. This issue has triggered a new debate on explainable AI (XAI). A research field holds substantial promise for improving trust and transparency of AI-based systems. It is recognized as the sine qua non for AI to continue making steady progress without disruption. This survey provides an entry point for interested researchers and practitioners to learn key aspects of the young and rapidly growing body of research related to XAI. Through the lens of the literature, we review the existing approaches regarding the topic, discuss trends surround

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CFPB Acts to Protect the Public from Black-Box Credit Models Using …

CFPB Acts to Protect the Public from Black-Box Credit Models Using ...

Companies relying on complex algorithms must provide specific and accurate explanations for denying applications Today, the Consumer Financial Protection Bureau (CFPB) confirmed that federal anti-discrimination law requires companies to explain to applicants the specific reasons for denying an application for credit or taking other adverse actions, even if the creditor is relying on credit models using complex algorithms.

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Stop explaining black box machine learning models for high stakes …

Stop explaining black box machine learning models for high stakes ...

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Peering inside the black box of AI | PNAS

Peering inside the black box of AI

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Managing the black box of artificial intelligence (AI)

Managing the black box of artificial intelligence (AI)

Limited functionality available The use of AI techniques and solutions for a wide range of novel applications leaves organizations open to new risks.

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