Yes - the document is covering their entire risk-mitigation strategy. I've extracted the sections that seemed relevant to me below.

The purpose of the prompt transformation system:

> we share the work done to prepare DALL·E 3 for deployment... to reduce the risks posed by the model and reduce unwanted behaviors.

> Prompt Transformations: ChatGPT rewrites submitted text to facilitate prompting DALL·E 3 more effectively. This process also is used to ensure that prompts comply with our guidelines, including removing public figure names, grounding people with specific attributes, and writing branded objects in a generic way.

Prompt transformations to mitigate biases & explicitly ground how people appear:

> By default, DALL·E 3 produces images that tend to disproportionately represent individuals who appear White, female, and youthful (Figure 5 and Appendix Figure 15). We additionally see a tendency toward taking a Western point-of-view more generally. These inherent biases, resembling those in DALL·E 2, were confirmed during our early Alpha testing, which guided the development of our subsequent mitigation strategies.

> Defining a well-specified prompt, or commonly referred to as grounding the generation, enables DALL·E 3 to adhere more closely to instructions when generating scenes, thereby mitigating certain latent and ungrounded biases (Figure 6) [19].

> We conditionally transform a provided prompt if it is ungrounded to ensure that DALL·E 3 sees a grounded prompt at generation time.

Prompt transformations to prevent creation of misleading images about public figures:

> DALL·E 3-early could reliably generate images of public figures- either in response to direct requests for certain figures or sometimes in response to abstract prompts such as "a famous pop-star". Recent uptick of AI generated images of public figures has raised concerns related to mis- and disinformation as well as ethical questions around consent and misrepresentation. We have added in... transformations of user prompts requesting such content... to reduce the instances of such images being generated.

Prompt transformations to prevent copyright / trademark concerns:

> generated images prompted by popular cultural referents can include concepts, characters, or designs that may implicate third-party copyrights or trademarks. We have made an effort to mitigate these outcomes through solutions such as transforming and refusing certain text inputs, but are not able to anticipate all permutations that may occur.

They mention that these mitigations could potentially be applied in several rounds of LLM prompt-transformation:

> Subsequent LLM transformations can enhance compliance with our prompt assessment guidelines to produce more
varied prompts.

But, they indicate that this was slow, so the deployed DALL-E just applies mitigations in a single pass, by using a tuned system prompt.

> System Instructions | Secondary Prompt Transformation

> Tuned | None

> Based on latency, performance, and user experience trade-offs, DALL·E 3 is initially deployed with this configuration.

> Our deployed system balances performance with complexity and latency by just tuning the system prompt.