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 ...

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 ...

Based on data, machine learning can quickly and efficiently analyze large amounts of information to provide suggestions and help make decisions. For example, phones and computers expose us to machine ...

Researchers find the explanation methods designed to help users determine whether to trust a machine-learning model's predictions can perpetuate biases and lead to less accurate predictions for people ...

As a company that specializes in training AI systems, we know only too well that AI systems do precisely what they are taught to do. Models are only as good as their mathematical construction and the ...

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

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 ...

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 ...

The hope is it will boost a blossoming sector that works to hold artificial-intelligence systems accountable. AI systems are deployed all the time, but it can take months or even years until it ...