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Duration 14 hours
Course Outline
Introduction to AI Governance
- The critical role of governance in AI integration
- Key risks, protective measures, and accountability structures
- Organizational implications of deploying AI tools
Responsible Use of Qwen Chat
- Ethical perspectives on workplace AI interaction
- Handling sensitive and internal data appropriately
- Guiding responsible behavior through established guidelines
Data Privacy and Security Requirements
- Expectations for data handling when utilizing Qwen Chat
- Safeguarding confidential and proprietary assets
- Adhering to internal standards and external regulatory frameworks
Designing Safe Prompt Practices
- Constructing prompts to mitigate unsafe outputs
- Promoting clarity and preventing unintended responses
- Building libraries of approved prompt templates
Governance Processes and Monitoring
- Tracking usage and managing access controls
- Establishing audit trails and accountability workflows
- Identifying misuse and breaches of policy
Policy Development and Enforcement
- Drafting specific organizational guidelines for Qwen Chat
- Executing approval and escalation mechanisms
- Striking a balance between innovation and risk mitigation
Training, Adoption, and Change Management
- Cultivating user awareness and a culture of responsible use
- Supporting teams through the Qwen Chat deployment phase
- Sustaining governance as usage patterns evolve
Future Considerations in AI Governance
- Adapting policies to accommodate emerging capabilities
- Assessing organizational readiness for expanded AI use
- Regularly updating governance frameworks
Summary and Next Steps
Requirements
- Knowledge of existing organizational policies.
- Practical experience with internal compliance or IT workflows.
- Basic understanding of data protection and privacy principles.
Target Audience
- Compliance professionals.
- IT administrators.
- Staff in Human Resources, Legal, and organizational leadership roles.