llm risk management

The llm risk management tag covers practical guidance on governing large language models in HR and other employee-facing workflows. Its focus is not selecting a universally best model, but evaluating whether a model’s failure modes are acceptable for a specific use. Topics include reliability, privacy posture, enterprise integration, cost, legal-document performance, and the safeguards needed when AI tools affect hiring, accommodations, discipline, payroll, policy, or workforce planning. The discussion emphasizes keeping general-purpose chatbots from becoming invisible decision-makers and using clear rules, review processes, and accountable workflows to reduce risk in employment-related decisions.