Unite.AI

DECEMBER 19, 2024

People want to know how AI systems work, why they make certain decisions, and what data they use. The more we can explain AI, the easier it is to trust and use it. Large Language Models (LLMs) are changing how we interact with AI. Researchers are using this ability to turn LLMs into explainable AI tools.

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Unite.AI

APRIL 9, 2024

Several times black-box AI models have produced unintended consequences, including biased decisions and lack of interpretability. Composite AI is a cutting-edge approach to holistically tackling complex business problems. It achieves this by integrating multiple analytical techniques into a single solution.

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Aiiot Talk

JULY 7, 2023

Analyzing Aircraft With Digital Twins AI-powered analytics can improve safety through digital twins as well as predictive maintenance. Digital twins often use machine learning and AI to simulate the effects of operational or design changes. Black-box AI poses a serious concern in the aviation industry.

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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). What is Explainable AI?

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Pickl AI

DECEMBER 29, 2024

Challenges in Unregulated AI Systems Unregulated AI systems operate without ethical boundaries, often resulting in biased outcomes, data breaches, and manipulation. The lack of transparency in AI decision-making (“black-box AI”) makes accountability difficult.

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