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Course Outline

Introduction to AI Governance

  • Examining the critical role of governance in AI adoption
  • Reviewing key risks, safeguards, and accountability models
  • Assessing the organizational impact of integrating AI tools

Responsible Use of Qwen Chat

  • Navigating ethical considerations for workplace AI applications
  • Managing the handling of sensitive and internal data
  • Promoting responsible behavior through clear guidelines

Data Privacy and Security Requirements

  • Understanding data handling standards when utilizing Qwen Chat
  • Securing confidential and proprietary information
  • Ensuring adherence to internal and external regulatory frameworks

Designing Safe Prompt Practices

  • Crafting prompts to mitigate the risk of unsafe outputs
  • Maintaining clarity to prevent unintended responses
  • Curating libraries of approved prompts

Governance Processes and Monitoring

  • Implementing usage tracking and access control measures
  • Establishing audit trails and accountability procedures
  • Identifying and addressing misuse and policy breaches

Policy Development and Enforcement

  • Drafting organizational guidelines specifically for Qwen Chat
  • Setting up approval and escalation workflows
  • Striking a balance between fostering innovation and managing risk

Training, Adoption, and Change Management

  • Cultivating user awareness and a culture of responsible use
  • Providing support to teams during the Qwen Chat rollout
  • Evolving governance strategies as usage patterns change

Future Considerations in AI Governance

  • Adapting policies to accommodate emerging AI capabilities
  • Assessing organizational readiness for broader AI deployment
  • Continuously updating governance frameworks over time

Summary and Next Steps

Requirements

  • A solid grasp of organizational policies
  • Experience with internal compliance or IT workflows
  • Knowledge of data protection and privacy principles

Target Audience

  • Compliance officers
  • IT administrators
  • HR, legal, and organizational leadership teams
 14 Hours

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