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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

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