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.

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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 112

Neural Network AI Modeling Black Box AI Explainability 112

ODSC - Open Data Science

APRIL 4, 2023

Artificial intelligence adoption is booming across businesses of all industries. This is a promising shift for AI developers, and many organizations have realized impressive benefits from the technology, but it also comes with significant risks. Similar issues could arise as companies apply self-learning models to more areas.

Black Box AI 98

Black Box AI AI AI Data Science 98

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

Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries. Opening the “ Black Box AI ”: The Path to Deployment of AI Models in Banking What You Need to Know About Model Risk Management.

Black Box AI 111

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O'Reilly Media

DECEMBER 12, 2023

What should copyright law mean in the age of artificial intelligence? In an article in The New Yorker , Jaron Lanier introduces the idea of data dignity, which implicitly distinguishes between training a model and generating output using a model. How do we make sense of this?

AI 101

AI AI LLM Black Box AI 101

Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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Composite AI Explainability Black Box AI Explainable AI 182