Certainly! Here is a detailed write-up on how to Generate and Review GPT-powered Prompts for Topic Extraction Aligned with SayPro Values:
SayPro: Generating and Reviewing GPT-powered Prompts for Topic Extraction Aligned with SayPro Values
Overview
SayPro (Say Progress) is an organization committed to empowerment, development, and ethical engagement. When integrating GPT-powered solutions for content generation—especially for topic extraction—it’s vital to ensure that all AI prompts and outcomes are aligned with SayPro’s core values: integrity, inclusivity, empowerment, development, and social impact.
This document outlines a detailed process for designing, testing, and refining prompts that use AI (e.g., GPT) to extract topics from content while staying true to SayPro’s mission and values.
1. Objectives of Topic Extraction Using GPT
- Identify key themes and underlying topics in textual content (e.g., program documents, participant feedback, training materials).
- Enhance content categorization, curriculum development, and impact assessment.
- Automate insight extraction to inform strategic planning and community engagement.
2. SayPro Core Values in Topic Extraction
Prompts and the extracted topics should reflect the following:
| Value | Application in Topic Extraction |
|---|---|
| Integrity | Ensure factual, unbiased topics without distortion. |
| Inclusivity | Identify themes that represent diverse voices and contexts. |
| Empowerment | Highlight topics that showcase capacity building and personal growth. |
| Development | Focus on themes related to education, training, and skills improvement. |
| Social Impact | Extract issues linked to community development, health, and sustainability. |
3. Designing GPT-powered Prompts for Topic Extraction
3.1. General Prompt Template
“Identify and list the main topics discussed in the following text. Ensure the topics are framed in a way that emphasizes development, empowerment, and inclusivity.”
3.2. Enhanced Prompt Examples
Example 1 (Feedback Evaluation):
“Analyze this participant feedback and extract 3–5 key themes. Focus on identifying topics related to personal development, training effectiveness, and community relevance.”
Example 2 (Training Material):
“From the training transcript provided, extract the primary educational topics. Emphasize skills transfer, empowerment, and socially impactful learning.”
Example 3 (Policy Document):
“Review the following policy text and list main areas of focus. Ensure that the extracted topics align with SayPro’s values of equity, sustainable development, and social justice.”
4. Reviewing and Validating the Prompts
4.1. Accuracy Review Criteria
- Are the extracted topics relevant to the input content?
- Are they concise and clearly labeled?
- Are they grouped logically (if multiple themes)?
4.2. Value Alignment Checklist
| Criterion | Check |
|---|---|
| Topics reflect SayPro’s mission? | ✅ / ❌ |
| Inclusive of marginalized voices? | ✅ / ❌ |
| Promote skills and personal growth? | ✅ / ❌ |
| Emphasize community development? | ✅ / ❌ |
4.3. Bias and Ethics Review
- Does the prompt avoid culturally biased language?
- Are marginalized or underrepresented groups acknowledged in the extracted themes?
- Does the GPT model output respect confidentiality and ethical use of information?
5. Iterative Improvement Process
- Test multiple prompt variants on the same input.
- Compare outputs for thematic clarity and alignment with SayPro values.
- Involve human reviewers from SayPro’s staff or partner communities.
- Refine prompts based on feedback.
- Maintain a prompt library with version control and notes on context/usage.
6. Example Evaluation Case
Input Text:
“The leadership training helped me find my voice and connect with others. I now feel more confident leading community events and facilitating workshops on health awareness.”
GPT Output (Topics Extracted):
- Leadership development
- Personal empowerment
- Community engagement
- Health education
Value Alignment Review:
✅ Empowerment
✅ Development
✅ Social Impact
✅ Inclusivity (diverse application)
✅ Integrity (faithful representation of content)
7. Tools and Best Practices
- Use metadata tagging alongside extracted topics for easier content classification.
- Incorporate feedback loops from real users and communities.
- Document prompt performance across different content types (reports, conversations, feedback).
- Regularly audit GPT outputs for bias, value alignment, and ethical soundness.
Conclusion
Using GPT for topic extraction can significantly enhance SayPro’s operational efficiency and strategic insight. However, it is essential to continuously design, review, and refine AI prompts to ensure they are aligned with SayPro’s values. Through thoughtful design and value-centered review processes, GPT can serve as a powerful tool for inclusive, ethical, and impactful development work.
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