Responsible AI, Data Privacy & Governance
Establish the practical governance foundation required for safe business AI adoption. Participants examine privacy, hallucination, bias, copyright, accountability, and human review, then translate these risks into workable organizational guidelines.
Duration
6 hours
Level
All Levels
Course Type
Standard Course
WORKSHOP FORMAT
Onsite / Online / Hybrid
Main Business Outcome
Reduce AI-related risk and give employees clearer boundaries for safe adoption.
Target Audience
Management, HR, legal, compliance, IT, data teams, and department heads
Learning Outcomes
- Identify key operational and reputational AI risks.
- Classify information that should or should not be entered into AI tools.
- Design review and approval controls for AI-generated work.
- Draft practical internal AI usage guidelines.
Skills Learned
Key Topics
- Hallucination and verification
- data privacy
- sensitive information
- bias
- copyright
- human review
- policy and accountability
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