Category: Legal, AI Technology

Definition: Company or platform policies governing the creation, disclosure, use, and labeling of AI-generated images. Addresses transparency, copyright, ethical considerations, and customer expectations regarding synthetic content.

Why It Matters: Maintains customer trust through transparency; addresses legal and ethical concerns; protects brand reputation; ensures compliance with emerging regulations; manages intellectual property questions; differentiates from competitors.

Use Cases: E-commerce content disclosure, social media posting guidelines, advertising standards, marketplace compliance, brand guidelines, internal content creation rules.

Example of Real Use Case: A fashion retailer implements a clear AI disclosure policy, labeling all AI-generated content. Customer surveys show 78% appreciate transparency, and trust scores increase by 12 points compared to retailers with undisclosed AI content.

Software/Service: Policy management systems, content labeling tools, metadata tagging, AI detection tools

Common Issues: Unclear regulatory landscape, customer confusion or distrust, competitive pressure to hide AI use, inconsistent application, copyright ambiguity, evolving best practices.

Do's and Don'ts:

• ✓ Do establish clear internal policies

• ✓ Do consider transparency and disclosure

• ✓ Do stay informed on regulations

• ✓ Do label AI content when appropriate

• ✗ Don't misrepresent AI content as traditional photography

• ✗ Don't ignore customer expectations

• ✗ Don't create misleading policies

Related Terms: Generative AI, Synthetic Model, AI Fashion Model, Ethics, Transparency

Also Known As: AI Disclosure Policy, Synthetic Content Policy, AI Usage Guidelines