This Opinion column aims to shed light on the often-overlooked difference between two main types of privacy from a control ...

Demand for computing power—fueled largely by artificial intelligence (AI)—shows no signs of abating. Yet, as AI becomes a ...

When AI becomes part of the team rather than a private assistant, it becomes a platform for organizational intelligence. The ...

If you’re building or managing AI systems, governance isn’t just a legal problem anymore. It’s an engineering constraint—one ...

Modern behavioral data science approaches treat every user interaction as a signal. Micro-interactions like hover time, pause ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Bug bounty programs (BBPs) crowdsource vulnerability discovery—enabling ethical hackers to identify and report flaws for ...

This highlights a critical reality for architects and developers: while a cloud provider is responsible for the resilience of ...

The quantum Internet can be a mind-bending, sci-fi sounding concept, but it’s also one that is getting closer, albeit slowly, ...

Novices don’t have the knowledge to use complex manual tools and coding in cyberattacks. AI-powered attack tools are often ...

Precise, sensible, and easy to use terms to differentiate the two intrinsic types of privacy controls will positively impact the accuracy of privacy research and discussions. Human-in-the-loop ...

Putting a human in the loop often refers to an artificial intelligence (AI), such as a target acquirer, that requires human authorization to proceed (as in, pull the trigger). However, in learning ...