Human error, wrote James Reason, is both universal and inevitable. The principles are so important that the famed human factors specialist listed them at the top of ...

Crypto investors do not lose money only because the market is volatile. They lose money because they make uninformed decisions. In 2025, information is no longer power. Accurate information ...

Even the best of us make mistakes. You forget an appointment, send the wrong email, or miss an important detail. Most of the time, the consequences are minor. However, in healthcare, aviation, or ...

Abstract: Human error is often associated with system failures. The complexity of human-automation interaction can make it difficult to anticipate what errors can ...

An employee didn’t get their paycheck on the last cycle. Mistakes happen, for sure, but according to their recent Reddit post, the reason was that an AI-powered payroll tool decided that their ...

Excerpted from Dinner with King Tut: How Rogue Archaeologists Are Re-creating the Sights, Sounds, Smells, and Tastes of Lost Civilizations by Sam Kean. Copyright ...

Gait analysis is often used in sports medicine, as seen in this picture. Credit: Daniel Karmann/picture alliance via Getty Images Over the weekend, the conservative media outlet The Blaze and ...

Mumbai: Mumbai: A preliminary probe into Wednesday morning’s Mumbai Monorail derailment has pointed to a combination of human error and systemic issues, officials ...

The number of data breaches in Australia fell in the first half of 2025, but a significant rise in the number of incidents caused by human error is a growing concern ...

98% of security leaders consider misdirected email a significant risk—surpassing even malware and credential theft Abnormal AI, the leader in AI-native human behavior security, today released a new ...

Verizon Business's Chris Novak discusses how AI and human error are creating a perfect storm of mobile security threats for businesses of all sizes A report from ...

Enhancing Threat Detection Accuracy Automated tools efficiently process large volumes of data. They identify irregularities and trends that may indicate cyber threats. Machine learning algorithms ...