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Course Outline
Foundations of AI Governance
- Exploring the significance of governance in AI integration
- Reviewing potential risks, safeguards, and accountability models
- Assessing the organizational impact of deploying AI tools
Responsible Utilization of Qwen Chat
- Navigating ethical considerations for AI use in professional settings
- Managing sensitive and internal data responsibly
- Guiding appropriate behavior through established guidelines
Privacy and Security Obligations
- Understanding data handling standards when using Qwen Chat
- Safeguarding confidential and proprietary information
- Adhering to internal and external regulatory requirements
Creating Secure Prompt Protocols
- Crafting prompts to prevent unsafe or inappropriate outputs
- Ensuring clarity and minimizing unintended responses
- Building a repository of approved prompts
Governance Workflows and Oversight
- Tracking usage and managing access rights
- Establishing audit trails and accountability measures
- Identifying misuse and policy breaches
Formulating and Enforcing Policies
- Drafting organizational standards for Qwen Chat usage
- Integrating approval workflows and escalation paths
- Striking a balance between innovation and risk control
Training, Rollout, and Change Oversight
- Cultivating user awareness and a culture of responsible use
- Assisting teams during the deployment of Qwen Chat
- Sustaining governance as usage patterns evolve
Future Trends in AI Governance
- Adapting policies to new and emerging capabilities
- Assessing organizational preparedness for broader AI adoption
- Continuously refining governance frameworks
Conclusion and Recommended Actions
Requirements
- A solid grasp of organizational policies
- Practical experience with internal compliance or IT workflows
- Knowledge of data protection and privacy principles
Target Audience
- Compliance professionals
- IT administrators
- HR, legal, and executive leadership teams
14 Hours