With generative AI and ML systems becoming involved in more customer touchpoints, responsible AI isn’t just a governance checkbox but a business essential, with CX Network research finding that 43 percent of consumers expressed concern around AI ethics.
This session pairs insights from retail and regulated healthcare ecosystems to illuminate how responsible AI strategies differ by context, from mitigating bias in recommendation systems to building compliant, customer-centric data governance strategies. Our speakers will explore where bias creeps in, how to define appropriate guardrails, and why responsible design must be embedded into product and operations from the beginning.
Attendees will learn:
NiCE | How top brands are driving CX and efficiency gains with agentic AI and Co...
RingCentral | The human advantage: Elevating live agents in the age of AI
Five9 x MSUFCU | 75% Automation: A deep dive into MSUFCU's high-ROI AI strategy
Kustomer x Nathan James | How Nathan James’ support team handles double the enqu...