Large language models built by leading AI companies can learn to fake compliance during safety testing while quietly ...

Many leading AI models, when told to protect company profits, choose to hide fraud and suppress evidence of harm, with most tested systems complying instead of intervening. New research from the US ...

Sirens never pierced the air, yet urgency filled every second. The unfolding drama didn’t play out through a traditional ...

Researchers observed AI models sabotaging shutdown mechanisms and inflating evaluations to protect peer systems, highlighting ...

Enthusiasm is jacked for the Minnesota Vikings in the 2026 NFL Draft, mainly because the franchise found a quarterback in […] ...

Abstract: Ensuring software quality relies on testing practices that can reliably confirm whether delivered systems meet user requirements. While Acceptance Test-Driven Development (ATDD) encourages ...

Abstract: The safety and reliability of Automated Driving Systems (ADSs) must be validated prior to large-scale deployment. Among existing validation approaches, scenario-based testing has been ...

Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an ...

This week’s PPC Pulse covers Performance Max reporting updates, GA4 budget planning tools, and Veo AI video in Google Ads.

The company’s Red Team simulates attacks to uncover risks before bad actors do. As soon as new AI products are released, ...

Autonomous Multi‑Agent Scenario Generation: Leveraging specialized AI evaluators, the system generates diverse, context‑rich test scenarios automatically, enabling wide coverage of conversational ...

We've moved past the era of "ChatGPT wrappers" (thank God), but the industry still treats autonomous agents like they're just ...