• views: 109
• date: 22 February 2026
• posted by: voska89

What you'll learn

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

Requirements

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

Description

This course contains the use of artificial intelligence.
In today's global economy, supply chains are under intense scrutiny. Businesses are expected to ensure ethical sourcing, eliminate labor abuses, reduce carbon emissions, and meet strict ESG reporting standards — while also leveraging AI to stay competitive.
But here's the challenge
AI can improve efficiency, forecasting, and risk prediction — yet it can also introduce bias, privacy violations, and governance failures if not designed responsibly.
This course bridges that gap.
Ethical Supply Chain & AI is a complete practical guide designed to help professionals understand, design, and implement responsible AI systems within modern supply chains.
You will move step-by-step from foundational ethics concepts to advanced AI governance frameworks, including
• Ethical sourcing principles
• AI applications in supply chain operations
• Bias detection and responsible AI design
• Carbon tracking and sustainability optimization
• Data governance and privacy protection
• Global regulations (modern slavery laws, ESG mandates, AI governance)
• Real-world case studies of ethical and AI failures
• Building a complete Ethical AI Supply Chain Strategy
This is not a theoretical course.
Each module includes practical exercises such as
• Ethical risk mapping
• AI use-case workshops
• Supplier risk dashboard modeling
• Emissions calculation exercises
• Data ethics audits
• AI risk impact assessments
• Full strategic capstone project
By the end, you will be able to design a responsible, compliant, and future-ready supply chain powered by ethical AI.

Who this course is for

Supply chain managers and procurement professionals
ESG, sustainability, and compliance officers
AI and data science teams working in operations
Risk and governance professionals
Consultants advising on digital transformation
Corporate leaders driving responsible innovation
MBA and business students




   
   
   

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