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Using AI for Predictive Analytics in Aviation Safety

Aiiot Talk

AI can streamline and automate key safety processes such as design, monitoring, testing and more. AI-Powered Predictive Maintenance AI is a powerful tool for improving aircraft safety through predictive analytics. Black-box AI poses a serious concern in the aviation industry.

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The future of QA is here, meet QA-GPT

LevelAI

Auto-QA Today Contact center auto-QA (Quality Assurance) refers to the use of automated tools and technologies to assess and evaluate the quality of interactions between contact center agents and customers. Say goodbye to black-box AI models where you’re never quite sure if the AI got it right.

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Is Rapid AI Adoption Posing Serious Risks for Corporations?

ODSC - Open Data Science

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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What is Model Risk and Why Does it Matter?

DataRobot Blog

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. Opening the “ Black Box AI ”: The Path to Deployment of AI Models in Banking What You Need to Know About Model Risk Management. More on this topic. Download now.

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Forecast Time Series at Scale with Google BigQuery and DataRobot

DataRobot Blog

With automated feature engineering, automated model development, and more explainable forecasts, data scientists can build more models with more accuracy, speed, and confidence. We want to avoid that “black box AI” where it’s unclear why certain decisions were made. Getting forecasts right matters.