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Building an AI-Powered Product or ServiceLesson 9 of 13

9 · Legal and ethical basics (privacy, copyright, honest claims)

Building an AI product raises the legal bar, because now other people depend on what you ship. You don't need a law degree, but you must know these basics — getting them wrong can mean fines, lawsuits, or a dead brand. (This is general education, not legal advice — for your situation, ask a real lawyer.)

1 · Privacy — protect your customers' data. When customers use your AI product, you're often handling their information. Don't paste customers' personal data into public AI tools that may store or train on it; minimize what you collect; and tell customers honestly what you do with their data. "We sent your private info to a third party" is a trust-ending sentence.

2 · Honest claims — no deceiving customers. Marketing and product claims must be truthful and backed up. The FTC has been explicit that AI performance claims must be substantiated — don't say it "uses AI" if it doesn't, and don't exaggerate what it does (FTC, 2023). "The AI generated that claim" is not a defense.

3 · No fake reviews or fake hype. It is illegal under an FTC rule to create, buy, or sell fake reviews and testimonials, or fake indicators of social-media influence — with civil penalties per violation (FTC, 2024). AI makes fake reviews trivially easy to generate; that doesn't make them legal. And if someone with a material connection to you (paid, given free product, family, or staff) endorses your product, that connection must be disclosed clearly and conspicuously (FTC, n.d.).

4 · Copyright — what you can (and can't) own. The U.S. Copyright Office has stated that purely AI-generated material is not protected by copyright — copyright requires human authorship, and prompting alone is not enough to make an AI's output yours (U.S. Copyright Office, 2025). Practical meaning: a logo, jingle, or marketing image you got from a single prompt may not be something you can legally own or stop others from copying. Your human creative contributions are what's protectable. Also respect others' copyrights and your AI tools' terms of use.

The founder's posture: treat these as product features, not obstacles. A business that's honest about its data use, its claims, and what its AI can do earns the trust that small founders win on. NIST's framework folds privacy, fairness, and honesty into what makes AI trustworthy in the first place (NIST, 2023).

Check yourself. A customer's personal data, an AI-generated logo, and a friend's paid 5-star review each carry a legal/ethical rule. Name the rule for any two of them.

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