Unite.AI

JUNE 26, 2023

At the root of AI mistakes like these is the nature of AI models themselves. Most AI today use “black box” logic, meaning no one can see how the algorithm makes decisions. Black box AI lack transparency, leading to risks like logic bias , discrimination and inaccurate results.

Black Box AI 297

Black Box AI Explainable AI Explainability AI 297

Towards AI

DECEMBER 19, 2023

The models are becoming more and more complex with deeper layers leading to greater accuracy. It is very risky to apply these black-box AI systems in real-life applications, especially in sectors like banking and healthcare. One issue with this current trend is the focus on interpretability is lost at times.

Neural Network 122

Neural Network AI Modeling Black Box AI Explainability 122

ODSC - Open Data Science

APRIL 4, 2023

Bias and Inequality AI can also introduce societal issues like exaggerating bias if corporations aren’t careful. Amazon’s scrapped hiring AI model infamously penalized women’s resumes as the machine learning algorithm expanded on implicit biases within the training data.

Black Box AI 98

Black Box AI AI AI Data Science 98

LevelAI

AUGUST 9, 2023

In our testing, we found that QA-GPT can cover over 85% of scorecard questions out of the box without any extra configuration. Say goodbye to black-box AI models where you’re never quite sure if the AI got it right. We’re also improving the transparency of evaluations.

Black Box AI 52

Black Box AI Natural Language Processing Automation NLP 52

Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). Present the model’s predictions to stakeholders.

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Explainable AI Explainability Black Box AI Neural Network 52

DataRobot Blog

APRIL 29, 2022

The new field of MLOps offers a much stronger framework for model validation, documentation, and oversight than traditional manual efforts, while more closely aligning to the ever increasing regulatory requirements and vastly reducing “model risk.”. The post What is Model Risk and Why Does it Matter? More on this topic.

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Black Box AI Machine Learning Automation Big Data 111

O'Reilly Media

DECEMBER 12, 2023

What is contained in the model is an enormous set of parameters based on all the content that has been ingested during training, that represents the probability that one word is likely to follow another. The ability to emit a sonnet that Shakespeare never wrote: that’s transformative, even if the new sonnet isn’t very good.

AI 101

AI AI LLM Black Box AI 101