This capstone unit synthesizes prior learning into actionable plans for protecting a business from generative media risks, including legal exposure from deepfakes, ethical consequences, and operational vulnerabilities. Students will create and evaluate 30/60/90-day implementation strategies, establish maintenance and governance practices, and recommend future-facing adaptations for leadership and information management.
Learning Objectives
- Analyze organizational risks posed by generative media and deepfakes, including legal, reputational, and operational consequences, using case examples.
- Design a 90-day implementation plan that sequences foundation building (days 1–30), system implementation (days 31–60), and testing/refinement (days 61–90) to deploy AI safeguards.
- Apply maintenance and governance practices to demonstrate ongoing monitoring, incident response, policy updates, and stakeholder communication for generative AI systems.
- Evaluate future scenarios for the evolution of generative media and recommend strategic adaptations that align leadership and information management with ethical and legal obligations.
Curriculum
- 1 Section
- 11 Lessons
- 30 hours
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- Unit 4 — Operationalizing Responsible AI11
- 1.1The Power of Simple Safeguards20 mins
- 1.2When the Law Isn’t Enough: Protecting Your Business from Deepfake Liability20 mins
- 1.3What’s Next?20 mins
- 1.4The First 30 Days: Foundation Building20 mins
- 1.5Days 31–60: System Implementation20 mins
- 1.6Days 61–90: Testing and Refinement20 mins
- 1.7Ongoing: Maintenance and Evolution20 mins
- 1.8What’s Next?20 mins
- 1.9Generative Media: Uses and Consequences20 mins
- 1.10The Future of Reality20 mins
- 1.11What’s Next?20 mins
Instructor
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