Tag: agentic AI safety
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Detecting Specification Violations in AI Agent Skills
Discover how semantic fuzzing with Sefz uncovers specification violations in AI agent skills to enhance safety and trust in LLM-powered agents.
RISED Framework: Ensuring Safe Clinical AI Deployment
Discover the RISED framework for pre-deployment safety evaluation of clinical AI decision-support systems, enhancing reliability, equity, and performance.
REALISTA: Realistic Attacks Triggering LLM Hallucinations
Discover REALISTA, a novel framework creating realistic adversarial prompts to expose and mitigate hallucinations in large language models (LLMs).
Large Language Models in Agentic NetOps & AIOps Safety
Explore architectures, evaluation methods, and safety measures for large language models in agentic NetOps and AIOps to enhance operational efficiency.
ChatGPT Enhances Context Awareness in Sensitive Talks
Discover how ChatGPT's updated AI improves context recognition and safety in sensitive conversations for better mental health and crisis support.