As a company that specializes in training AI systems, Alegion knows that models in fact do precisely what they are taught to do. AI models comprise algorithms and data, and they are only as good as ...
This guest post from Alegion explores the reality of machine learning bias and how to mitigate its impact on AI systems. Artificial intelligence (AI) isn’t perfect. It exists as a combination of ...
While the technological hype of AI is seemingly endless and ripe with possibilities, what this excitement hides is a darker side: The ethics and bias of AI, and the harmful outcomes as a result of ...
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Bias vs variance explained: Avoid overfitting in ML
What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...
New findings highlight the need to systematically check for bias in pathology AI to ensure equitable care for patients.
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