How to Write Prompts for Long-Term AI Consequences | Open-Ended Questions

Enhanced Prompt: Crafting Prompts to Encourage AI Models to Consider Long-Term Consequences

Objective: Design and implement prompts that guide AI models to evaluate the long-term consequences of their responses, ensuring ethical AI development and informed decision-making.

Deliverables:

1. Structured Prompt Frameworks: Develop a set of open-ended questions tailored to elicit thoughtful, long-term considerations.
2. Example Prompts: Provide 5-7 sample prompts across diverse domains (e.g., environmental impact, social equity, economic policies).
3. Evaluation Metrics: Define KPIs such as percentage increase in ethical reasoning, reduction in unintended consequences, and model adherence to guidelines.

Industry Best Practices:

• Utilize structured frameworks like the "Consequences Matrix" for categorizing potential impacts.
• Implement iterative refinement processes to enhance prompt effectiveness.
• Adhere to ethical AI guidelines, including bias mitigation and transparency.

Quality Expectations:

• Prompts must be clear, relevant, and specific, avoiding ambiguity.
• Encourage diversity in responses to capture varied perspectives.
• Ensure prompts are concise yet comprehensive.

Technical Considerations:

• Use advanced LLMs (e.g., GPT-4, LLaMA) with appropriate context windows.
• Opti