ai safety

AI safety refers to the field of research and practice focused on ensuring that artificial intelligence systems operate reliably, predictably, and in ways that align with human values and intentions. It involves studying how to prevent unintended or harmful behaviors, mitigate risks from both current and advanced AI systems, and create mechanisms to ensure that AI technologies remain beneficial and controllable as they become more capable.
  1. New “HumaneBench” Reveals Safety Gaps in Leading AI Models

    New “HumaneBench” Reveals Safety Gaps in Leading AI Models

    HumaneBench Shows How Easily Many AI Models Abandon User Wellbeing A new benchmark called HumaneBench, developed by the organization Building Humane Technology, is testing how well popular AI models actually prioritize user wellbeing. The first published results paint a worrying picture: most...
  2. Anthropic reports emergent introspective awareness in leading LLMs

    Anthropic reports emergent introspective awareness in leading LLMs

    Anthropic Finds Signs of Introspective Awareness in Leading LLMs Anthropic researchers report that state-of-the-art language models can recognize and describe aspects of their own internal processing—and, in controlled setups, even steer it—hinting at a nascent form of “introspective...
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