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Safe AI in Telecoms: Network Automation, Customer Systems and Regulatory Duties

Where AI Is Used Across Networks, Operations and Customer Care

Quiz: Where AI Is Used Across Networks, Operations and Customer Care

Network Automation and Human Oversight of Autonomous Changes

Quiz: Network Automation and Human Oversight of Autonomous Changes

Telecoms Security Duties and AI Inside the Network

Quiz: Telecoms Security Duties and AI Inside the Network

Fault Prediction, Root Cause Analysis and False Alarms

Quiz: Fault Prediction, Root Cause Analysis and False Alarms

Capacity Planning Models and Service Quality Commitments

Quiz: Capacity Planning Models and Service Quality Commitments

Churn and Retention Models: Fairness and Customer Detriment

Quiz: Churn and Retention Models: Fairness and Customer Detriment

Credit Checks, Debt Management and Vulnerable Customers

Quiz: Credit Checks, Debt Management and Vulnerable Customers

Fraud Detection, SIM Swap and Wrongly Blocked Accounts

Quiz: Fraud Detection, SIM Swap and Wrongly Blocked Accounts

Customer Service Automation and Complaint Handling Rules

Quiz: Customer Service Automation and Complaint Handling Rules

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Quiz: Churn and Retention Models: Fairness and Customer Detriment

Safe AI in Telecoms: Network Automation, Customer Systems and Regulatory Duties
Churn and Retention Models: Fairness and Customer Detriment
Quiz: Churn and Retention Models: Fairness and Customer Detriment

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Question 1 of 5

1. Question

What is one key purpose of churn models in telecoms organisations?

To increase staff workload
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To predict which customers are likely to leave services
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To reduce customer service interactions
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To eliminate the need for human decision-making
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Question 2 of 5

2. Question

Which of the following is a potential risk of aggressive retention efforts?

They may reduce customer spending
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They might cause financial burden or confusion for customers
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They can improve customer satisfaction scores
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They often lead to fewer support tickets
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Question 3 of 5

3. Question

Why is it important for organisations to audit model outputs regularly?

To reduce the cost of data storage
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To ensure models do not create disparate impacts across demographic groups
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To increase the speed of decision-making
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To avoid using customer data altogether
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Question 4 of 5

4. Question

What should organisations do when a retention model flags a customer?

Automatically apply the highest level of intervention
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Replace human decision-making entirely with the model output
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Ensure the response aligns with company values and regulatory expectations
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Ignore the model's output if it conflicts with staff opinion
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Question 5 of 5

5. Question

What is one way to monitor customer detriment risks from retention interventions?

By reducing the number of interventions offered
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By conducting regular customer surveys and support ticket analysis
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By removing all automatic interventions from the system
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By avoiding any promotion of premium services
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