AI Governance
AI governance is the set of policies, oversight mechanisms, and accountability structures that ensure AI systems are used responsibly and effectively.
In Simple Terms
Think of AI governance as the guardrails on a highway—they keep you safe without stopping you from moving forward.
Detailed Explanation
AI governance covers ethics, bias, transparency, privacy, security, and compliance. It defines who approves AI use cases, how models are audited, and what happens when things go wrong. When to use: Before deploying AI at scale. Common mistakes: Treating governance as an afterthought or making it so rigid that innovation stalls.
Related Terms
Chain of Thought
Chain of thought is a prompting style where the model is asked to show its reasoning step by step before giving a final answer.
Read morePrompt Engineering
The practice of designing effective inputs to get desired outputs from AI models.
Read moreRed Teaming
Red teaming in AI is the practice of deliberately challenging a system with adversarial prompts, edge cases, and misuse scenarios to find failures before bad actors do. It strengthens safety and reliability.
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