What It Means
CAN-SPAM applies to every commercial email your AI sends — no exceptions. The rules are straightforward: truthful header information, non-deceptive subject lines, identification as advertising when applicable, a valid physical address, and a clear opt-out mechanism. The problem? AI doesn't know these rules exist. It's optimizing for engagement, not compliance. It'll write a subject line that technically misleads. It'll generate body copy that omits your physical address. It'll craft a message that doesn't include an opt-out link. Each of those is a separate CAN-SPAM violation. At AI scale, where you're generating hundreds or thousands of emails, the exposure adds up fast. An AI QA & Evaluation Platform with CAN-SPAM rubrics catches these against your standards — flagging missing elements as needs_fix and routing serious violations through authority escalation.
Why It Matters
CAN-SPAM violations carry penalties up to $51,744 per email. Per email. Your AI can generate a thousand non-compliant emails in the time it takes someone to notice the first one. Without pre-send review, you're accumulating exposure at machine speed. Systematic evaluation with CAN-SPAM-specific rubrics is the only way to prevent mass violations when AI is writing your outbound.
How Bookbag Helps
Bookbag lets you configure rubrics that check for specific CAN-SPAM requirements: honest subject lines, sender identification, physical address presence, opt-out mechanism, and content accuracy. Missing elements trigger needs_fix for correction. Deceptive content triggers blocked for authority escalation. Every verdict is logged in the immutable audit trail — proof that you checked before sending.
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