Open-Ended Questions: Exploring Technology and Society | AI Prompt Design

Enhanced Prompt: Designing Open-Ended Prompts to Encourage AI Thinking on Technology and Society

Objective: Create a comprehensive framework for crafting open-ended prompts that effectively encourage AI to analyze and discuss the interplay between technology and society. The goal is to ensure prompts are structured to elicit diverse perspectives, promote critical thinking, and generate actionable insights.

Deliverables:

• A detailed framework for designing prompts, including a checklist of best practices.
• Specific metrics for evaluating prompt quality, such as:
  • Diversity Index: Measuring the range of societal viewpoints represented.
  • Depth of Analysis: Assessing the complexity of the analysis performed.
  • Actionable Insights: Count of practical recommendations derived from the AI's response.

Industry Best Practices:

1. Bias Mitigation: Ensure prompts are free from inherent biases by incorporating diverse examples and neutral language.
2. Diverse Perspectives: Encourage inclusion of various societal viewpoints and ethical considerations.
3. Structured Framework: Use predefined templates or schemas to guide the AI's response.

Tools and Technologies:

• NLP Techniques: Implement techniques like topic modeling or sentiment analysis to enhance understanding.
• Content Analysis Tools: Use tools like NVivo or Atlas.ti for organizing and interpreting responses.
• AI Frameworks: Leverage libraries such as LangChain or LlamaCpp for efficient prompt engineering.

Quality Expectations:

• Clarity: Prompts should be unambiguous and clearly aligned with the user's objectives.
• Relevance: Ensure prompts are contextually relevant to the user's needs.
• Depth: Encoura