Contact Center Pipeline October 2024 | Page 30

RESPONSIBLE AI

ILLUSTRATION PROVIDED BY ADOBE STOCK

BUILDING

ETHICAL AI PRACTICES A GUIDE TO RESPONSIBLE AI FOR CONTACT CENTERS .

Contact centers ’ artificial intelligence ( AI ) adoption rates are rising . From 2024 to 2032 , market research predicts that the global call center AI market will grow at a 19.8 % compound annual growth rate ( CAGR ).

As AI systems touch more aspects of customer service , there has never been a greater need to establish Responsible AI frameworks to address ethical risks . Below is a guide to help you navigate technological advancement while championing the principles of Responsible AI .
30 CONTACT CENTER PIPELINE
BY REBECCA JONES , MOSIACX
DEFINING RESPONSIBLE AI
Before diving in , let ’ s define Responsible AI . Responsible AI is a term used to establish clear principles and guidelines that ensure AI ’ s ethical development , deployment , and use . In implementing AI technologies , Responsible AI emphasizes fairness , transparency , accountability , bias mitigation , privacy , and regulatory compliance .
CREATING A RESPONSIBLE AI FRAMEWORK
Successful AI implementation starts with embedding into the company culture . To do this , companies must create a Responsible AI framework that ingrains ethical best practices into their organizational mindset .
... COMPANIES MUST CREATE A RESPONSIBLE AI FRAMEWORK THAT INGRAINS ETHICAL BEST PRACTICES INTO THEIR ORGANIZATIONAL MINDSET .
Developing a comprehensive framework is the first step towards providing team members with the resources and skills to use AI effectively and responsibly . On top of that , encourage managers to communicate openly with employees and hold them accountable for promoting Responsible AI policies , processes , and governance .