Reproducible experiments and testimony presented at a recent webinar suggest LinkedIn’s algorithms systematically reduce the ...
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.
Designer Talia Cotton wanted to create an unbiased logo, so she put an algorithm to work. But that raised all kinds of thorny questions about whether design can ever really be neutral. The practical ...
The research also brings to the fore the relational dimension of ethical AI in education. Bias mitigation was most effective ...
In December 2023, the Federal Trade Commission (FTC) announced a settlement with Rite Aid for the company’s use of facial recognition technology (FRT) in connection with its surveillance technologies ...
IEEE 7003-2024, “Standard for Algorithmic Bias Considerations" The Institute of Electrical and Electronics Engineers (IEEE) recently released IEEE 7003-2024, “Standard for Algorithmic Bias ...
For more than a decade, journalists and researchers have been writing about the dangers of relying on algorithms to make weighty decisions: who gets locked up, who gets a job, who gets a loan — even ...
In a groundbreaking announcement, Elon Musk revealed that X, formerly known as Twitter, will soon make its algorithmic code for the news feed and advertisements open source. This move aims to enhance ...
Several House Democrats proposed legislation on Friday that would direct all federal agencies using artificial intelligence technologies to establish civil rights offices focused on mitigating bias ...
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 ...
Twitter reworking billionaire Elon Musk has stated that he will open up a new algorithm related to operations on the social ...
In this special guest feature, Sanjay Arora, CEO and Founder of Million Short, examines the dangers of algorithmic bias. It’s tempting to regard algorithms as objective, unbiased constructs that are ...