Objective: Understand global and local AI governance frameworks and their application to MTN Ghana’s operations, including risk management.

  • AI Governance Frameworks: Structured guidelines to ensure responsible AI development and deployment.
    • ISO/IEC Standards: International standards for AI ethics, focusing on transparency, accountability, and safety (e.g., ISO/IEC 42001 for AI management systems).
      • Telecom Example: Using ISO/IEC standards to audit AI models for network optimization, ensuring reliability.
    • EU AI Act: A regulatory framework classifying AI systems by risk level (e.g., high-risk for telecom fraud detection), requiring transparency and audits.
      • Relevance: While not directly applicable in Ghana, the EU AI Act offers best practices for MTN’s global operations.
    • MTN-Specific Example: MTN Ghana aligns its AI governance with ISO/IEC principles, auditing Zigi’s NLP models for fairness in customer interactions.
  • MTN’s Approach:
    • Internal AI Policies: MTN establishes guidelines for data use, model transparency, and compliance with Ghana’s Data Protection Act (2012).
      • Example: Ensuring customer consent for using Mobile Money data in fraud detection models.
    • Compliance with Ghana’s Laws: Adhering to data minimization, user consent, and secure storage requirements.
      • Example: Anonymizing call logs before using them in AI models for network optimization.
  • Risk Management:
    • Data Breaches: Protect sensitive customer data (e.g., Mobile Money transactions) with encryption and secure storage.
    • Model Biases: Regularly audit AI models to detect and mitigate biases (e.g., ensuring churn prediction models don’t favor high-income users).
    • MTN-Specific Example: MTN Ghana conducts quarterly audits of its fraud detection system to prevent false positives that could inconvenience customers.
  • Benefits:
    • Reduces legal and reputational risks.
    • Builds customer trust through transparent and compliant AI practices.
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