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Duration 14 hours
Course Outline
Foundations of AI Governance
- The role of governance in AI adoption
- Key risks, safeguards, and accountability models
- Organizational implications of introducing AI tools
Responsible Use of Qwen Chat
- Ethical dimensions of workplace AI usage
- Handling sensitive and internal data
- Enforcing responsible behavior through clear guidelines
Data Privacy and Security Standards
- Expected data handling practices with Qwen Chat
- Securing confidential and proprietary information
- Adherence to internal and external regulatory requirements
Designing Safe Prompt Practices
- Structuring prompts to prevent unsafe outputs
- Maintaining clarity and restricting unintended responses
- Building curated libraries of approved prompts
Governance Processes and Monitoring
- Tracking usage and managing access controls
- Establishing audit trails and accountability procedures
- Identifying misuse and policy breaches
Policy Development and Enforcement
- Drafting organizational guidelines for Qwen Chat
- Setting up approval and escalation pathways
- Balancing innovation against risk management
Training, Adoption, and Change Management
- Fostering user awareness and a culture of responsible use
- Supporting teams during the Qwen Chat deployment
- Adapting governance as usage patterns evolve
Future Trends in AI Governance
- Adjusting policies to accommodate emerging capabilities
- Assessing organizational readiness for broader AI adoption
- Continuously updating governance frameworks
Summary and Next Steps
Requirements
- Knowledge of existing organizational policies
- Experience with internal compliance or IT workflows
- Understanding of data protection and privacy principles
Target Audience
- Compliance officers
- IT administrators
- HR, legal, and senior leadership teams