Abstract: Reinforcement Learning (RL) agents optimize policies based on provided rewards, yet may exploit unintended loopholes in the reward design, a phenomenon known as reward hacking. With the rise ...

Agentic AI tools like OpenClaw promise powerful automation, but a single email was enough to hijack my dangerously obedient ...

If you want to get started in ethical hacking, choosing the right programming languages matters. This video covers four of the most useful languages for ethical hackers, explaining why they are ...

AI browsers can be hijacked through prompt injection, turning assistants into insider threats. Learn how these exploits work & how to protect data.

Hackers and other criminals can easily commandeer computers operating open-source large language models outside the guardrails and constraints of the major artificial-intelligence platforms, creating ...

Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...

Abstract: With extensive pretrained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects, such as ...

Behavior is at the heart of nearly every challenge in the workplace, from leadership and fair decisions to high performance and AI adoption. But how should organizations go about influencing behavior?