Lesson Content

Responsible representation in commercial imagery.

AI generation defaults reflect training data biases including demographic representation patterns. Commercial imagery for diverse audiences requires deliberate representation specification – not reliance on generation defaults that may systematically produce unrepresentative imagery. Specify representation explicitly for content where diverse, inclusive imagery is appropriate or required for the commercial context.

Avoiding deception in commercial AI imagery.

Commercial contexts where AI image deception is particularly problematic: presenting AI-generated product images as real photographs when the product hasn't actually been produced yet (customer expectations vs. reality); using AI-generated customer testimonial imagery that implies real customer experiences; generating content that falsely implies third-party endorsement, real locations, or real events. Distinguish between creative/aspirational commercial use and misleading fabrication.

Sensitive commercial subject handling.

Commercial subjects requiring additional care: health and medical imagery (accuracy and safety implications); financial and investment content (regulatory requirements for accuracy); content depicting real people (likeness rights, defamation concerns); and politically sensitive content (potential for misuse regardless of commercial intent). These contexts require additional review, compliance verification, and sometimes legal consultation before generation and use.

Professional conduct standards.

Professional conduct for commercial AI image work: maintain transparency with clients about AI generation; comply with applicable platform terms and emerging regulations; refuse client requests that violate ethical or legal standards; stay current with evolving AI content disclosure requirements in relevant industry contexts. Building a reputation for responsible AI image production is a long-term professional asset.