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Safe AI in Financial Services: Controls That Satisfy Supervisors and Customers

Where AI Sits in Banking, Lending, Payments and Wealth

Quiz: Where AI Sits in Banking, Lending, Payments and Wealth

Existing Rules That Already Bind AI in Financial Firms

Quiz: Existing Rules That Already Bind AI in Financial Firms

Model Governance, Inventory and Tiering in a Regulated Firm

Quiz: Model Governance, Inventory and Tiering in a Regulated Firm

Credit Scoring and Affordability Models Under Fairness Scrutiny

Quiz: Credit Scoring and Affordability Models Under Fairness Scrutiny

Fraud Models: False Positives and the Customer Harm They Cause

Quiz: Fraud Models: False Positives and the Customer Harm They Cause

Anti Money Laundering Alerting and Explaining a Decision

Quiz: Anti Money Laundering Alerting and Explaining a Decision

Customer Facing Chat: Advice Boundaries and Regulated Statements

Quiz: Customer Facing Chat: Advice Boundaries and Regulated Statements

Consumer Duty Outcomes Applied to Automated Sales Processes

Quiz: Consumer Duty Outcomes Applied to Automated Sales Processes

Explainability Requirements for Declines and Adverse Decisions

Quiz: Explainability Requirements for Declines and Adverse Decisions

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Quiz: Explainability Requirements for Declines and Adverse Decisions

Safe AI in Financial Services: Controls That Satisfy Supervisors and Customers
Explainability Requirements for Declines and Adverse Decisions
Quiz: Explainability Requirements for Declines and Adverse Decisions

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Question 1 of 5

1. Question

What must financial institutions provide when explaining automated decisions to customers?

A summary of the algorithm used
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An overview of the staff involved
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A detailed explanation of how data influenced the outcome
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The cost of the decision-making system
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Question 2 of 5

2. Question

Which of the following is required to be logged by systems for explainability purposes?

The names of all employees who reviewed the case
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The final decision made by the system
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The weights and thresholds used in the algorithm
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The favourite colour of the decision-maker
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Question 3 of 5

3. Question

Why must explanations of decisions be consistent across similar cases?

To reduce the cost of processing applications
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To avoid appearing arbitrary or discriminatory
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To make the process easier for staff to manage
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To ensure the system is using the latest data
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Question 4 of 5

4. Question

What must staff be trained to do regarding customer explanations?

Write technical reports for supervisors only
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Provide explanations that are accessible yet accurate
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Avoid giving any explanations to customers
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Focus solely on the data used in decisions
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Question 5 of 5

5. Question

What is one purpose of regular audits of explanations?

To check that staff are working efficiently
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To verify that explanations meet regulatory requirements
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To compare the system with competitors
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To confirm that no customers have been rejected
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