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Machine unlearning: Researchers make AI models ‘forget’ data

AI News

Researchers from the Tokyo University of Science (TUS) have developed a method to enable large-scale AI models to selectively “forget” specific classes of data. Progress in AI has provided tools capable of revolutionising various domains, from healthcare to autonomous driving.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

When business decisions are made based on bad models, the consequences can be severe. 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. The post What is Model Risk and Why Does it Matter? More on this topic. Download now.

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Is Rapid AI Adoption Posing Serious Risks for Corporations?

ODSC - Open Data Science

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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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.