A retail company wants to analyze customer sentiments from social media posts to improve their products and services. They plan to build an AI model that performs sentiment analysis on customer reviews and comments. The team ensures transparency by documenting the entire AI pipeline including data collection sources, preprocessing steps, model architecture. The team actively addresses bias by regularly assessing model predictions for fairness across different demographic groups, adjusting model weights to reduce bias, and ensuring equal representation of diverse customer segments in the training data. They manage data privacy and security by making sure that customer data is anonymized and pseudonymized during data collection, access controls are enforced to limit who can access raw customer data, and encryption is used for data transmission and storage. These steps are taken to ensure the sentimental analysis model$$s reliability, fairness, security while respecting user privacy and building trust with customers. Which of the technology trends identified by Garner is the company trying to address?

Question $25$ options:

a$)$

AI$-$Augmented Development

b$)$

Democratized Generative AI

c$)$

AI Trust, Risk and Security Management $($AI TRiSM$)$

d$)$

Continuous Threat Exposure Management $($CTEM$)$