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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

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