Design, Govern & Implement Responsible AI in Supply Chains — From ESG Compliance to Real-World Risk Control
Sub Category
- Management
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Objectives
- Understand the foundations of ethical supply chain management
- Identify common ethical failures such as forced labor, greenwashing, and ESG manipulation
- Explain how AI technologies (ML, NLP, Computer Vision) operate in supply chain contexts
- Evaluate AI risks including bias, discrimination, and transparency gaps
- Design AI-driven supplier risk scoring systems
- Apply AI to sustainability tracking and carbon emissions reduction
- Develop ethical data governance frameworks
- Conduct AI risk impact assessments before deployment
- Align supply chain strategy with global regulations and ESG standards
- Prepare organizations for audits and compliance reviews
Pre Requisites
- Basic understanding of supply chain operations (helpful but not mandatory)
- Interest in AI, ESG, or corporate governance
- No coding required (conceptual AI understanding is sufficient)
- Willingness to engage in strategic thinking and case analysis
- Suitable for both technical and non-technical professionals
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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