For teams using generative AI in their workflows or processes, when do you disclose that content or images were created with AI? How do you determine when customers would be receptive to AI-generated content compared to an authentic approach?

Also check out the Partnership on AI guidelines on synthetic media which has been adopted by a few  big tech companies: https://syntheticmedia.partnershiponai.org/

While AI benefits users, you need to check for accuracy as it is still a new technology.  I use AI to help jumpstart a piece of content.  However, I always vet for accuracy and re-write / use my own voice to create the final piece.

AI should not be the content creator; the writer(s) should create the content. AI can and perhaps should be used as a tool to get that content. Two very different concepts.

When using generative AI in workflows or processes, it's important to disclose that content or images were created with AI in instances where consumers might be misled about the authenticity of the content. Here are some guidelines:
1. **Disclosure**: Always include a watermark or other disclosure regarding the use of AI in instances where consumers may be misled as to whether they are interacting with AI. For example, use phrases like "Created with the help of AI" or "AI generated, human customized"
2. **Review and Revise**: AI tools can be used as drafting or creation tools, but human editing must be part of the process. All final materials should be prepared with the same care and attention as non-AI-generated content. This ensures that the content is accurate and free from any third-party content, such as names, logos, and brand
3. **Contextual Relevance**: Consider the context in which the AI-generated content will be used. For example, AI-generated images or text used in advertising, marketing, or PR materials should be quick and easy to take down if necessary. Avoid using AI tools to create materials that cannot be quickly removed from circulation, such as packaging or physical retail assets
4. **Transparency and Trust**: Transparency plays an important role in regulating trust and the perception of performance. Disclosing the use of AI can enhance the value of the content and improve its acceptance by readers. It gives visibility to your organization’s values relating to AI use
5. **Customer Receptivity**: To determine when customers would be receptive to AI-generated content compared to an authentic approach, consider the following:
   - **Audience Preferences**: Understand your audience's preferences and attitudes towards AI-generated content. Some customers may appreciate the novelty and efficiency of AI, while others may prefer human-created content for its perceived authenticity.
   - **Content Type**: Certain types of content, such as data-driven reports or technical documentation, may be more suitable for AI generation. In contrast, content that requires a personal touch, such as customer service interactions or creative storytelling, may benefit from a human approach.
   - **Feedback Mechanisms**: Implement feedback mechanisms to gauge customer reactions to AI-generated content. This can help you refine your approach and ensure that the content meets customer expectations.
By following these guidelines, you can effectively integrate generative AI into your workflows while maintaining transparency and trust with your customers. If you have any more questions or need further details, feel free to ask!