Prompt chaining for automated policy explanations

Prompt chaining is a technique used to automate the explanation of policies by stringing together multiple prompts or queries in a sequence. This can help break down complex policy documents into simpler, digestible parts that can be easily understood by a wider audience.

Here’s how prompt chaining could be applied for automated policy explanations:

1. Identify the Key Sections of the Policy:
   First, break down the policy into its key sections. For example, in a company’s data privacy policy, sections might include “Data Collection,” “Data Storage,” “Data Security,” and “User Rights.”

2. Create Specific Prompts for Each Section:
   For each section, generate a specific prompt that asks a focused question about the content. For example, for “Data Collection,” the prompt might be:

   • “Explain what types of personal data are collected under this policy.”

3. Use Chaining to Expand on Each Section:
   After answering the initial question, follow up with another prompt to delve deeper or clarify related aspects of that section. For instance:

   • “How is this data used after it is collected?”

   • “What are the legal bases for collecting this data?”

4. Link Sections Together:
   Once each section is broken down, link the responses together. A prompt could be designed to ask about the interaction between sections:

   • “How does the ‘Data Collection’ section relate to ‘Data Storage’ in this policy?”

5. Summarize with a General Overview:
   After processing each section in-depth, prompt the system to summarize the entire policy, ensuring all key points have been covered.

6. Create Exception Scenarios:
   For each section, create prompts that simulate different scenarios (e.g., a breach of data or a user exercising their rights) to explain how the policy applies in various contexts. For example:

   • “If a user requests their data to be deleted, what happens according to this policy?”

7. Automate Updates:
   As the policy changes, create prompts that automatically check for updates in key sections or highlight the new changes in the policy.

Example of a Chained Prompt Process for a Privacy Policy:

• Prompt 1: “What data types does this privacy policy collect from users?”

• Response: “This policy collects user names, email addresses, browsing history, and payment details.”

• Prompt 2: “How is this data used according to the policy?”

• Response: “The data is used for personalizing user experiences, processing payments, and improving services.”

• Prompt 3: “Are there any third parties that access this data?”

• Response: “Yes, third-party vendors who help with payment processing and analytics may access the data.”

• Prompt 4: “What security measures are in place to protect this data?”

• Response: “Data is encrypted and stored securely with access controls in place to protect it.”

• Prompt 5: “What rights do users have over their data?”

• Response: “Users have the right to access, correct, or delete their data at any time.”

This chaining approach allows an automated system to generate detailed and organized policy explanations based on predefined sections of the policy, making complex documents much easier to understand and interact with.