Broadway Café deploys an AI scheduling agent.
Labor costs fall 10%, but:
• Shifts violate policy
• No audit logs
• Employee complaints rise
What is missing?

Question

BlackTom AI · Accepted Answer

Policy and governance controls are missing because the symptoms (policy-violating shifts, no audit logs, rising employee complaints) point to a lack of guardrails, accountability, and oversight around the AI scheduling agent.

1) Relevant knowledge points and concepts
- AI governance: rules, policies, and oversight mechanisms that ensure AI systems behave within legal, ethical, and operational constraints.
- Auditability and logging: recording decisions and inputs so outcomes can be inspected and traced.
- Human-in-the-loop and exception handling: mechanisms for humans to review or override automated actions.
- Compliance and employee relations: ensuring schedules meet labour laws, company policy, and fairness expectations.

2) Step-by-step reasoning
- Labor costs fell 10% indicates the scheduler achieved an objective (cost reduction) and its predictions/optimizations are working from a performance standpoint.
- Shifts violate policy (e.g., overtime, rest periods, contractual constraints) show the system is not constrained by the necessary rules or those rules are not encoded/enforced.
- No audit logs means decisions cannot be traced back to inputs, rules, or model outputs, so problems cannot be diagnosed or corrected.
- Employee complaints rising indicates real-world negative impact despite cost savings.

3) Intermediate logical steps
- If predictive accuracy were the only issue, outcomes would be poor performance, not necessarily rule violations with lower costs.
- If data storage capacity were insufficient, system failures or missing data would occur, not specifically lack of logs or policy breaches.
- Automation maturity relates to process integration but the clear absence of policies, logging, and controls is governance, not merely maturity.

4) Why the correct answer is correct
Policy and governance controls encompass encoding scheduling rules, enforcing constraints, implementing audit logs, setting escalation paths, and monitoring impact on stakeholders. These directly address the three failure points: policy compliance, auditability, and employee impact mitigation.

5) Why other options are incorrect
- Data storage capacity: would cause data loss or performance issues, not targeted policy violations and missing logs (those are design/governance choices).
- Automation maturity: could explain integration roughness but doesn’t account for missing rules and logs specifically.
- Predictive accuracy: model could be accurate but optimized for cost; accuracy doesn’t prevent rule-violating behavior.

6) Conclusion
The missing element is Policy and governance controls, which matches the provided correct answer.

Broadway Café deploys an AI scheduling agent. Labor costs fall 10%, but: • Shifts violate policy • No audit logs • Employee complaints rise What is missing?单项选择题

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