AI News

DECEMBER 10, 2024

While some existing methods already cater to this need, they tend to assume a white-box approach where users have access to a models internal architecture and parameters. Black-box AI systems, more common due to commercial and ethical restrictions, conceal their inner mechanisms, rendering traditional forgetting techniques impractical.

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Aiiot Talk

JULY 7, 2023

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. Digital twins often use machine learning and AI to simulate the effects of operational or design changes.

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DataRobot Blog

APRIL 29, 2022

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. Among these, Spain, the United Kingdom, and the United States passed the highest number of AI-related bills in 2021 adopting three each. More on this topic. Download now.

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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.

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LevelAI

AUGUST 9, 2023

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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DataRobot Blog

NOVEMBER 3, 2022

However, tedious and redundant tasks in exploratory data analysis, model development, and model deployment can stretch the time to value of your machine learning projects. We want to avoid that “black box AI” where it’s unclear why certain decisions were made. Getting forecasts right matters.

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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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