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Course Outline
Foundations of AI Governance
- Recognizing the importance of governance in AI integration
- Examining risks, protective measures, and accountability frameworks
- Assessing the organizational impact of AI implementation
Responsible Qwen Chat Usage
- Ethical standards for AI interactions in the workplace
- Handling sensitive and proprietary internal data
- Promoting responsible conduct through clear guidelines
Data Privacy and Security Standards
- Expected data handling practices when utilizing Qwen Chat
- Safeguarding confidential and proprietary information
- Adhering to internal and external regulatory requirements
Safe Prompt Engineering
- Structuring prompts to prevent unsafe or inappropriate outputs
- Ensuring clarity to minimize unintended responses
- Curating libraries of approved prompts
Governance Workflows and Oversight
- Monitoring usage and managing access permissions
- Establishing audit trails and accountability measures
- Identifying misuse and regulatory breaches
Policy Creation and Enforcement
- Developing internal guidelines for Qwen Chat
- Setting up approval and escalation workflows
- Striking a balance between innovation and risk mitigation
Training, Adoption, and Change Management
- Fostering user awareness and a culture of responsible use
- Supporting teams throughout the Qwen Chat rollout process
- Adapting governance as usage patterns evolve
Evolution in AI Governance
- Adjusting policies to accommodate new AI capabilities
- Assessing organizational readiness for broader AI adoption
- Continuously refining governance frameworks
Key Takeaways and Future Actions
Requirements
- A grasp of existing organizational policies
- Practical experience with internal compliance or IT workflows
- Knowledge of data protection and privacy principles
Target Audience
- Compliance officers
- IT administrators
- HR, legal, and executive leadership teams
14 Hours