The Ethics of AI Personalization: What Buyers Now Expect
Ethical AI personalization uses information the recipient could reasonably expect a sender to have (public posts, announcements, self-disclosed context), attributed clearly and in service of a relevant offer.
Expectations
Relevance over flattery, sourced references, restraint over density. Public information only. Plain language, not euphemism.
Crossing the line
Psychographic inference, opaque sourcing, persistent stockpiling of behavioral data, references to non-public facts.
Consent
Reasonable-prospect test: would the person agree this info was appropriate if asked. Opt-out honored in minutes across channels.
Rules
Public info only. Plain trigger references. No inference. Thin personalization. Fast opt-out. Retire stale context.