Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Algorithmic accountability policies should prioritise meaningful public participation as a core policy goal, so that any deployment actually meets the needs of affected people and communities, ...

As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools' gains in accuracy and efficiency. Far less visible, however, is another ...

I’ve been keeping an eye on the use of machine learning algorithms, particularly by venture capitalists, to make investment decisions for some time now. They’ve been investing in machine learning ...

In early January, the algorithmic hiring company HireVue seemed to declare that it had stopped using facial analysis, which came as a welcome surprise to critics of the problematic artificial ...

Algorithmic pricing scrutiny now spans real estate, hotels, and healthcare, raising a fundamental question: How do courts distinguish lawful pricing software from unlawful coordination? Companies have ...

In the world of investing, technology is continually reshaping how we analyze and predict stock market trends. Among these advancements, Artificial Intelligence (AI) stands out as a game-changer. From ...

The SEO industry is undergoing a profound transformation in 2025. As large language models (LLMs) increasingly power search experiences, success now depends on withstanding traditional algorithm ...