A strategic guide to responsible AI, legal compliance, shadow AI, and operational guardrails.
Sub Category
- Business Strategy
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Objectives
- Define strategic AI governance pillars to mitigate Shadow AI and data leakage risks within the enterprise.
- Implement technical guardrails against hallucinations, prompt injections, and toxicity in Generative AI models.
- Navigate global regulations including the EU AI Act, GDPR, and US Executive Orders to ensure compliance.
- Operationalize AI ethics through cross-functional committees, RACI matrices, and Agile workflow integration.
- Assess intellectual property risks regarding AI-generated content, trade secrets, and third-party vendor terms.
- Design Human-in-the-Loop (HITL) frameworks for high-stakes decision-making and ambiguous outputs.
- Develop an internal AI Ethics Charter to guide corporate behavior, product safety, and brand alignment.
- Measure the ROI of governance by quantifying risk reduction, legal efficiency, and operational velocity.
Pre Requisites
- Basic understanding of Generative AI concepts and Large Language Model (LLM) capabilities.
- Experience in Product Management, Legal, Compliance, IT, or Risk Management roles is recommended.
- No programming or coding experience is required.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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