Summary
The article discusses how artificial intelligence (AI) can improve survey accuracy by analyzing both numerical (quantitative) and descriptive (qualitative) data. AI tools can process and understand written and spoken responses quickly, providing new insights into public opinions and beliefs.
Key Facts
- People have become skeptical of traditional polling methods because they often fail to predict election outcomes.
- AI can improve survey accuracy by analyzing both quantitative data (like yes/no answers) and qualitative data (details from open-ended questions).
- Qualitative data has historically been underused because it was hard to process manually.
- AI tools now use natural language processing (NLP) to quickly analyze qualitative data and find common themes and insights.
- Digital twins are AI-generated personas that represent real people's diverse opinions; these can answer new survey questions based on existing data.
- AI can combine survey responses with additional data, like social media or focus group information, to enhance understanding of public sentiment.
- The article suggests AI-powered surveys can offer deeper insights into issues like housing insecurity by including personal stories and experiences.
