Product images and honesty

AI-generated and AI-edited product images can save real money on photography — but they carry the single biggest practical and legal risk in e-commerce AI: misrepresenting the product. The overriding rule is that the image must show what the customer actually receives. (General information, not legal advice — verify current platform and state rules.)

The #1 rule: don't misrepresent the product. AI that changes a product's color, texture, fit, features, or scale — showing something the customer won't actually receive — is deceptive. It drives returns, complaints, and legal exposure, and it's the top risk to manage. AI image enhancement and generation are fine only insofar as the result accurately represents the real product. If it makes the product look like something it isn't, don't use it.

Disclosure norms are rising. Laws and platform rules increasingly require disclosing AI-generated imagery, especially synthetic people (AI 'models'). For example, some jurisdictions now require disclosing AI synthetic performers in ads, and platforms are adding requirements to tag AI-generated people in product images. Consumer research shows most people can't reliably tell AI images from real ones, yet a large majority want disclosure and trust brands that label more. So disclose AI-generated imagery where required — and, increasingly, as a trust practice.

Copyright: AI images are weakly protected. In the US, purely AI-generated images generally aren't copyrightable (human authorship required). So your AI product images may not be protectable against others copying them — relevant if a distinctive image is something you'd want to own.

The reputational angle. Several brands have faced backlash for AI imagery perceived as 'cheap,' 'lazy,' or (with AI 'diverse' models) inauthentic. So beyond legality, weigh whether AI imagery fits your brand and your customers' expectations — authenticity matters, and a backlash can cost more than the photography you saved.

Practical rules. (1) Never misrepresent the product — accuracy to what ships is non-negotiable. (2) Disclose AI imagery (especially synthetic people) where required and as a trust practice. (3) Meet platform image specs and AI-tagging rules (Module 4). (4) Know AI images are weakly copyright-protected. (5) Weigh brand fit and authenticity.

The takeaway: AI product images save on photography but carry e-commerce AI's biggest risk — misrepresenting the product. The overriding rule: the image must show what the customer actually receives; AI that changes color, texture, fit, features, or scale is deceptive and drives returns, complaints, and legal exposure. Disclose AI imagery — especially synthetic AI 'models' — where laws and platforms now require it and as a trust practice (most consumers can't tell but want labeling). Know that purely AI images are generally weakly copyright-protected. And weigh the reputational angle, since AI imagery has drawn 'cheap/inauthentic' backlash. Accuracy to what ships is non-negotiable; disclose, meet platform rules, and consider brand fit.