Technical fixes to AI systems aren’t enough. What’s needed is an overhaul of AI eco-systems to ensure they’re more inclusive.

A 2026 study found that even when AI tools are trained on unbiased data, the AI tools can invent their own biases about demographic groups during an employee hiring task.

Luzerne County’s new Sheriff Genesis C. Arias is the first woman to serve in the county position and the first Hispanic woman to serve as sheriff in Pennsylvania, the county announced Tuesday. Among ...

Ultra-secure encryption algorithm added to ISO standard for Asymmetric Ciphers Classic McEliece is first PQC algorithm to achieve global standardization Organisations in 177 ISO member states can now ...

An AI hiring system can treat every applicant the same and still leave some people feeling targeted. Researchers found that rejected candidates judged an automated interview differently depending on ...

Qube Research & Technologies, one of London’s largest quantitative hedge funds, is doing something that would once have looked heretical for a firm built on code: it is hiring humans to pick stocks.

New research from Stanford underscores that preventing bias in A.I.-powered hiring depends less on abandoning the technology than on designing, governing and auditing it responsibly. Unsplash+ How do ...

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SAN DIEGO — College graduates entering the job market this season are finding the hiring process more challenging than expected, with AI-powered screening systems and economic pressures creating new ...

College graduates entering the job market this season are finding the hiring process more challenging than expected, with AI-powered screening. The forgotten Toyota SUV that's a better buy than the ...

Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can. By Alexander Nazaryan Researchers in Switzerland ...

Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant screening algorithms, Stanford researchers said. The tendency of employers to use ...