Open-Ended Questions for Media Impact | AI Prompt Creation

Enhanced Prompt:

Title: Crafting AI-Driven Prompts to Explore the Impact of Media and Communication on Well-being

Objective:
Design and implement a series of open-ended prompts tailored to encourage a language model to analyze and evaluate the multifaceted impact of media consumption and communication practices on both individual and collective well-being. The prompts should be structured to elicit insightful, evidence-based, and actionable insights, leveraging advanced AI tools and methodologies.

Deliverables:

1. A comprehensive set of 10 open-ended prompts, each addressing a unique aspect of media and communication's influence on well-being.
2. A detailed methodology outlining the design process, including considerations for cultural sensitivity, ethical implications, and technical constraints.
3. A report summarizing the evaluation metrics (e.g., accuracy, relevance, diversity) used to assess the prompts' effectiveness.
4. Recommendations for refining the prompts based on feedback and performance analysis.

Industry Best Practices and Standards:

• Adhere to ethical guidelines for AI use, including bias mitigation and transparency.
• Ensure prompts are inclusive and culturally sensitive, avoiding stereotypes or biases.
• Utilize established frameworks for well-being assessment, such as the Subjective Happiness Scale or the Quality of Life Index.
• Incorporate principles of user-centered design, ensuring prompts are accessible to diverse audiences.

Quality Expectations:

• Prompts should yield responses that are accurate, relevant, and diverse in perspective.
• Responses should include quantitative metrics (e.g., happiness scores, stress levels) where applicable.
• Ensure the language used is clear, avoiding jargon unless explained.
• Prompts should avoid leading questions and instead encourage exploration of complex, nuanced topics.

Technical Considerations:

• Use AI frameworks (e.g., GPT-4, LLaMA) and NLP libraries (e.g., spaCy, NLTK) to structure and refine prompts.
• Implement bias mitigation