A public interest group filed a U.S. federal complaint against artificial intelligence hiring tool, HireVue, in 2019 for deceptive hiring practices. The software, which has been adopted by hundreds of ...

The rapid proliferation of algorithmic systems has sparked widespread concerns about their potential to perpetuate and ...

Algorithms are a staple of modern life. People rely on algorithmic recommendations to wade through deep catalogs and find the best movies, routes, information, products, people and investments.

New research from the Women and Work APPG warns AI systems risk reinforcing gender inequality in recruitment, promotion and pay unless women are better represented in technology development and ...

AI bias is an anomaly in the output of machine learning algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or prejudices in the training data.

Algorithms have become increasingly pervasive as organizations in both the public and private sectors have sought to automate tasks that once required human intelligence. From facial recognition to ...

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 ...

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 ...

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 ...

Marketing has always been shaped by the tools behind it. What’s different now is how little visibility leaders have into the decisions AI tools are making. AI systems increasingly decide who sees a ...