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Course Outline
Foundations of AI Governance
- The pivotal role of governance in AI integration
- Key risks, safety measures, and accountability frameworks
- Organizational implications of adopting AI tools
Responsible Application of Qwen Chat
- Ethical considerations for AI usage in professional settings
- Handling sensitive and internal data responsibly
- Fostering accountable behavior through established guidelines
Data Privacy and Security Standards
- Expected data handling practices when utilizing Qwen Chat
- Safeguarding confidential and proprietary assets
- Adhering to internal and external regulatory requirements
Crafting Safe Prompting Strategies
- Structuring prompts to prevent unsafe or harmful outputs
- Ensuring clarity and minimizing unintended responses
- Building libraries of approved and vetted prompts
Governance Operations and Oversight
- Monitoring usage patterns and managing access controls
- Establishing audit trails and accountability protocols
- Identifying misuse and policy breaches
Policy Formulation and Compliance
- Drafting internal guidelines for the use of Qwen Chat
- Setting up approval workflows and escalation paths
- Striking a balance between innovation and risk mitigation
Adoption, Training, and Change Management
- Cultivating user awareness and a culture of responsible use
- Supporting teams throughout the Qwen Chat deployment
- Evolving governance strategies as usage patterns change
Future-Proofing AI Governance
- Adapting policies to accommodate emerging AI capabilities
- Assessing organizational readiness for broader AI adoption
- Continuously refining governance frameworks
Key Takeaways and Action Plan
Requirements
- A solid grasp of organizational policies
- Experience with internal compliance or IT workflows
- Knowledge of data protection and privacy principles
Target Audience
- Compliance professionals
- IT system administrators
- Human resources, legal, and senior leadership staff
14 Hours
