One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...

Large Language Models (LLMs) are increasingly used not only to generate content but also to evaluate it. They are asked to grade essays, moderate social media content, summarize reports, screen job ...

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 ...

To evaluate whether health information you’ve found online is reliable, you can consider its sources, evaluate it for bias, and check it against what trustworthy sources are saying on the topic.

Major tech companies are making bold claims about their efforts to train large language models (LLMs) free from bias. But is this goal achievable, or is it merely a utopian fantasy? The uncomfortable ...

Discover how emotional and cognitive biases affect investment decisions and learn strategies to identify and overcome these common pitfalls to optimize your portfolio.

Results of a study show the sound of a name might be one additional source of bias in hiring decisions. When people don’t have a lot of details about a candidate, it seems that there is much in a name ...