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, ...

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 ...

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 ...

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 ...

Emma, a college sophomore, stares at her screen. Her professor just assigned an essay on Kafka’s Metamorphosis and her fingers hover immediately over ChatGPT. ‘Why struggle,’ she thinks, ‘when AI can ...

Finance professionals are increasingly using algorithmic trading tools to predict market behavior and suggest optimal investment decisions. However, while most of these models are effective in stable ...

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...