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Course 4: Responsible Agentic AI: Ethics, Safety, and Governance
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What you will learn
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(a) Make agent decisions explainable with faithful reasoning and honest confidence
(b) Defend against prompt injection and unsafe tool sequences
(c) Protect personal data in agent memory and logs
(d) Produce tamper-evident audit trails and a governance model with clear ownership
Why take it
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(a) Agents act on the world, so the stakes go beyond a wrong chatbot answer
(b) You attack your own agent first, then add the guardrails that break the chain
What makes it unique
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(a) Most labs are deterministic and run without a model API key, so every result is reproducible
(b) Ends with a pre-release checklist you can apply to any agent
