🛡️Trust & Ethics

How to Tell Customers They're Talking to AI (Without Hurting Trust)

Disclosure done right. Transparent AI that customers appreciate.

Quick Answer

For search, voice, and "just tell me what to do".

Effective AI disclosure is matter-of-fact, not apologetic. Frame AI as a feature ('I'm an AI assistant that can help you instantly'), provide clear human access, and let the quality of help speak for itself. Customers accept AI that's helpful; they resent AI that's hidden.

Key Takeaways:

  • Disclosure should be confident, not apologetic
  • Frame AI as helpful feature, not limitation
  • Provide clear alternative to human
  • Let quality demonstrate value
  • Timing of disclosure matters

Playbook

1

Create confident AI introduction language

2

Design disclosure that emphasizes benefits

3

Build easy opt-out to human agents

4

Test different disclosure approaches

5

Monitor trust response to disclosure styles

Common Pitfalls

  • Apologetic framing that undermines AI
  • Disclosure that buries human option
  • No disclosure until problems arise
  • Over-disclosure that creates anxiety

Metrics to Track

Customer acceptance after disclosure

AI engagement rate post-disclosure

Opt-out rate to human

Trust scores with disclosure

FAQ

When in the conversation should I disclose AI?

Disclose early but not first. A brief greeting, then disclosure works well: 'Hi! I'm an AI assistant here to help you quickly. I can answer most questions instantly, or connect you to our team if needed.'

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Next: browse the hub or explore AI Operations.

Salarsu - Consciousness, AI, & Wisdom | Randy Salars