Sector Tracks — Module 7A through 7E

South Africa’s Department of Communications and Digital Technologies published a national AI policy draft with fabricated academic citations generated by AI. The professionals who wrote it were not careless — they lacked the framework to know when to question AI output.

• Assess the risk profile of 8 common corporate AI use cases using a structured framework
• Identify which local regulations (the Cyber and Data Protection Act, the Labour Act and consumer protection law) apply to their AI deployments
• Evaluate AI tools (Copilot, ChatGPT, DeepSeek) against corporate risk criteria
• Present a structured AI judgment recommendation to a board or senior team

Millions of SASSA Social Relief of Distress grant applications are declined by an automated system with the message "Alternative Income Source Identified" — often incorrectly. Applicants have no clear path to challenge the decision.

• Identify when automated government decisions require human review under the Cyber and Data Protection Act Section 71
• Map the accountability chain for AI-assisted decisions in their department
• Apply the Cyber and Data Protection Act, the Labour Act [Chapter 28:01] and public procurement rules to AI deployment
• Design a basic override and escalation protocol for automated decisions

Much of Zimbabwe’s economy runs informally and in cash, and a large share of adults have no formal credit history. Informal trade, cross-border business and mobile-money income generate little of the data a credit model reads, so people who are demonstrably creditworthy remain unscoreable.

• Identify proxy discrimination in AI credit and fraud scoring outputs
• Apply NCA Sections 80–81 and financial-sector regulator guidance to AI-assisted lending decisions
• Evaluate risk profiles of major regional fintech AI tools (JUMO and comparable regional fintech tools detection)
• Use the Funda Five™ to decide whether to act on an AI fraud flag

Mediclinic implemented an AI-assisted workforce management system, followed by a hiring freeze and restructuring. After public backlash, the company denied AI was responsible for staffing decisions — while the AI remained in use.

• Evaluate AI clinical decision support tools using patient safety and equity criteria
• Apply professional-conduct and medical-device guidance to tool assessment
• Identify the Cyber and Data Protection Act obligations for health data processed by AI systems
• Use the Funda Five™ to decide when to override a clinical AI recommendation

UCT formally discontinued Turnitin's AI detection tool after evidence of false positives at significantly higher rates for non-native English speakers — disproportionately affecting African students. The decision followed a wave of contested academic integrity rulings.

• Evaluate AI detection and learning tools for equity and false positive risk
• Apply the Cyber and Data Protection Act obligations for learner data and national qualification-authority accreditation considerations
• Identify the accountability chain when an AI detection tool flags a student
• Use the Funda Five™ to assess an edtech platform pitch for their institution