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To configure an ethical bias policy that allows no bias based on gender, use the 0.9-1.11 Rate Ratio:

Understanding Rate Ratios:

Step 1: Rate ratios are used to detect and measure bias in decision-making processes.

Step 2: A rate ratio of 1 indicates perfect parity, meaning there is no bias between groups.

Configuring Bias Detection:

Step 1: In Pega Customer Decision Hub, you can configure bias detection by setting an acceptable rate ratio range.

Step 2: To ensure no bias based on gender, set the rate ratio to a narrow range close to 1, such as 0.9-1.11. This range ensures that the decisioning process treats different genders fairly, with minimal deviation.

Implementation:

Step 1: Navigate to the Bias Detection settings within the Decision Strategy framework.

Step 2: Set the rate ratio to 0.9-1.11 for gender to monitor and enforce non-discriminatory practices in presenting offers.

Example:

MyCo can use this configuration to ensure that their mobile data package offers for students do not exhibit gender bias, providing equal opportunities for both male and female students.

Pega-Customer-Decision-Hub-User-Guide-85.pdf: 'Complying with policies or regulations by detecting unwanted bias' section.

To enable access to customer properties such as age, income, etc., in a decision strategy, the Data Import component is required. This component imports the relevant customer data into the strategy so it can be utilized for decision-making processes.

Understanding Audience Simulation with Engagement Policy and Arbitration:

When the simulation scope includes both engagement policy and arbitration, it evaluates which actions are top actions for customers.

Arbitration involves prioritizing actions based on factors like business value, customer propensity, and other criteria.

Interpreting Simulation Results:

The results show the number of customers who receive each action as their top action after considering engagement policies and arbitration.

Detailed Explanation:

Engagement policies filter out actions that do not meet eligibility, applicability, or suitability criteria.

Arbitration ranks the remaining actions, and the simulation identifies the top-ranked action for each customer.

Verification from Pega Documentation:

Pega documentation states that audience simulations with engagement policy and arbitration scope display the top actions received by customers.