Stakeholder Ecosystem and Roles in AI Systems | Lesson 2.4 | AI Governance Course

📚 What You’ll Learn in This Video:
The AI System as an Orchestra: A powerful analogy to understand why collaboration and clear roles are non-negotiable for success.
The Stakeholder Map: Your ultimate tool for visualizing the entire AI ecosystem, from internal teams to external regulators.
Internal vs. External Stakeholders: A clear distinction between who's inside and outside your organization and how to manage their influence.
Deep Dive into Key Roles: We break down the functions, tasks, and responsibilities of:
Technical Teams: Data Scientists, ML Engineers, Product Owners.
Business Side: Executive Leadership, Functional Leaders, and Internal Users.
IT & Infrastructure: MLOps/DevOps Engineers and Security Specialists.
Governance & Compliance: AI Governance Specialists, Ethics Officers, and Legal Teams.
Understanding External Forces: How End Users, Regulators, Partners, and Society at large shape the success and compliance of your AI project.
👥 About the Creators
This course is developed by the team at EthicaLogic — a consulting firm specializing in AI governance, privacy compliance, and responsible technology deployment - ethicalogic.com
It is led by Viacheslav Gasiunas, a legal and governance expert with over 15 years of experience in data protection, AI policy, and ethical risk management.
This lesson is essential for anyone preparing for AI governance certifications.

🧠 Bonus: End-of-Lesson Knowledge Check Quiz
Test your understanding of the key roles and their responsibilities with our quick bonus test!

🕒 Chapters & Timestamps

00:00 — Introduction to the Stakeholder Ecosystem
00:52 — The AI System as an Orchestra Analogy
01:33 — The Stakeholder Map: A Complete Overview
02:05 — Internal vs. External Stakeholders Explained
03:28 — Internal Stakeholders: Technical Roles (Data Scientist, ML Engineer, Product Owner)
07:06 — Internal Stakeholders: Business Side (Executive Leadership, Functional Leaders, Internal Users)
09:08 — Internal Stakeholders: IT Teams (MLOps, DevOps, Security)
10:46 — Internal Stakeholders: Governance & Compliance (AI Gov Specialist, Ethics Officer, Legal)
13:01 — External Stakeholders: A Complete Breakdown (End Users, Regulators, Partners, Society)
16:37 — Bonus Quiz: Test Your Knowledge
16:59 — Conclusion & Key Takeaways

👉 Subscribe for future modules on AI Risk Frameworks, Auditing Techniques, Compliance Automation, and more.
Let’s build ethical, trustworthy, and accountable AI—together.
#AIGovernance #ResponsibleAI #AICompliance #AIStrategy #AIEthics #AIProjectManagement #AIGovernanceCourse #AIGovernanceTraining