Hacking the planet with florid verse.

The Artificial Intelligence and Machine Learning (“AI/ML”) risk environment is in flux. One reason is that regulators are shifting from AI safety to AI innovation approaches, as a recent DataPhiles ...

Security teams are used to working with predictable systems. You send an input, you know roughly what the application will do, and you test around that. But once a company brings a large language ...

Adversarial attacks are an increasingly worrisome threat to the performance of artificial intelligence applications. If an attacker can introduce nearly invisible alterations to image, video, speech, ...

The approach, described as a proof-of-concept, is designed to make AI behavior more transparent and easier to monitor.

Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and ...

This article reports the results of a multiyear series of economic experiments comparing the two dominant types of legal procedures used in adjudication: (1) the "adversarial" model of ...