AI’s most underappreciated debiasing potential may not lie in correcting how we evaluate others but in helping us see ...

Learn about outside reversal patterns, their significance in technical analysis, and how they indicate potential trend ...

When we talk about bias in healthcare AI, the conversation almost always starts — and ends — with data. We scrutinize training sets, audit algorithms, and develop fairness metrics. But there’s a ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...

Alexander Graziano, owner of the downtown bar Stage 1, alleges the city's procedure in his liquor license nonrenewal was "unfair" and its decision a "product of bias." The city had argued it had more ...

Declan Humphreys serves on the Executive Committee of the Australian Chapter of the IEEE's Society for the Social Implications of Technology. In July, the United States government made it clear that ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

According to data from Duke University Reporters' Lab, there are 443 platforms actively engaged in fact-checking worldwide (Duke Reporters' Lab, 2025). These organizations play an important role in ...

A new Yale-led study shows that Americans who self-report having positive attitudes toward non-Americans actually often demonstrate implicit anti-immigrant biases. These automatic negative impressions ...

For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...