AI Isn’t Just Technology — It’s a Brand Language:
What Makes Consumers Trust AI
Session Overview
AI is no longer just a back-end technology. It has become a new “brand language” that can shape—and even decide—customer trust, experience, and emotional response.
Going forward, consumers won’t judge AI only by how smart it is. They will evaluate brands by whether AI makes them feel understood, respected, and reassured. In other words, a brand’s competitiveness will depend on its ability to build human trust through AI, not simply on the sophistication of the technology itself.
In this session, Moonkyoung Choi shares practical insights from brand strategy work at DAEHONG Communications, including learnings from the AIWI (AI Consumer Wellness Index), a consumer-trust diagnostic developed together with Seoul National University’s Retail Innovation Center. Through data and real-world cases, she will show how AI influences brand credibility and positive perception from the consumer’s point of view.
You will leave with a clear lens for answering a critical question: “Does our AI create a sense of empathy and care—and does it still feel trustworthy even after automation?”
- AI as brand language: Why AI now shapes trust and experience, not just efficiency
- What consumers reward: The conditions under which AI feels “human” and credible
- AIWI framework: How to diagnose and improve AI-driven brand trust
- Actionable strategy: Turning consumer insights into execution-ready direction
Speaker
Her work focuses on helping brands move beyond technology adoption to design AI experiences that consumers can genuinely trust—balancing innovation with empathy, credibility, and long-term brand value.