Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning platform. She has more than 100 papers and patents on ML. Do you need to determine if there is bias in your dataset ...
Chances are that you’re familiar with the concept of bias. It is widespread, turning up in discussions about scientific discoveries, politics or cognitive processes. In artificial intelligence and ...
In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...
Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...
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 ...
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 ...
AI is riddled by bias, especially in healthcare. Just one well-known example is a study from 2019 that revealed racial bias in a clinical algorithm used by hospitals showing that Black patients had to ...
Researchers are developing a way to incorporate one of the most human of characteristics -- uncertainty -- into machine learning systems. Researchers are developing a way to incorporate one of the ...
The Federal Reserve’s top watchdog warned Tuesday artificial intelligence and machine learning could bolster bias in lending practices. “While these technologies have enormous potential, they also ...
Tech companies acknowledge machine-learning algorithms can perpetuate discrimination and need improvement. By Zachary Small The artist Stephanie Dinkins has long been a pioneer in combining art and ...
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