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 Explainable AI Black Box AI 182

ODSC - Open Data Science

APRIL 4, 2023

Transparency The lack of transparency in many AI models can also cause issues. Users may not understand how these systems work and it can be difficult to figure out, especially with black-box AI. Being unable to resolve things could lead businesses to experience significant losses from unreliable AI applications.

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Towards AI

DECEMBER 19, 2023

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

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DataRobot Blog

NOVEMBER 3, 2022

As data scientists might put it, adding a time component to any data science problem makes things significantly harder. As experienced data scientists, we understand that modeling is only part of our work. We want to avoid that “black box AI” where it’s unclear why certain decisions were made.

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Data Scientist Explainability Black Box AI Automation 52