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Course Outline
Foundations of AI Governance
- The role of governance in adopting AI technologies
- An overview of risks, protective measures, and accountability frameworks
- Organizational implications of integrating AI tools
Responsible Application of Qwen Chat
- Ethical perspectives on workplace AI usage
- Handling sensitive and internal data
- Ensuring appropriate conduct through established guidelines
Data Privacy and Security Standards
- Expected data handling practices when using Qwen Chat
- Safeguarding confidential and proprietary assets
- Adherence to internal policies and external regulations
Developing Safe Prompting Strategies
- Crafting prompts to prevent unsafe outputs
- Promoting clarity and minimizing unintended responses
- Creating approved libraries of prompts
Governance Workflows and Oversight
- Monitoring usage and managing access controls
- Establishing audit trails and accountability procedures
- Identifying misuse and policy breaches
Policy Creation and Enforcement
- Drafting organizational guidelines for Qwen Chat
- Introducing approval and escalation workflows
- Striking a balance between innovation and risk control
Training, Rollout, and Change Management
- Fostering user awareness and a culture of responsible use
- Assisting teams during the implementation phase
- Sustaining governance as usage patterns develop
Forward-Looking AI Governance
- Adapting policies to new AI capabilities
- Assessing organizational readiness for AI expansion
- Refining governance frameworks over time
Conclusions and Future Actions
Requirements
- A solid grasp of internal organizational policies
- Background in internal compliance or IT workflows
- Knowledge of data protection and privacy principles
Target Audience
- Compliance officers
- IT administrators
- HR, legal, and senior leadership personnel
14 Hours
