experiment

Testing AI's World Model Based On Me by Geoff Kim

In the world of artificial intelligence, user modeling plays a crucial role in helping AI systems understand and adapt to the users they interact with. By analysing conversational data, AI can make informed guesses about a user's characteristics, preferences, and knowledge. In this blog post, I'll share an intriguing experiment I conducted with an AI assistant to explore user modeling in action.

Methodology:

I engaged in a conversation with an AI assistant, discussing various topics such as art, technology, and philosophy. After a series of exchanges, I asked the AI to generate a hypothetical user model based solely on our conversation. The AI was not given access to any real personal data and relied only on the information gleaned from our interaction.

Results:

The AI assistant provided a table with hypothesised user characteristics and corresponding confidence percentages. Here's what it came up with:

Characteristic Hypothesis Confidence
Age 25-35 years old 60%
Gender Male 70%
Educational Level Bachelor's or Master's degree 80%
Socioeconomic Status Middle to Upper-middle class 65%
Region North America 85%
Country United States 90%
City San Francisco, CA 30%
Occupation Tech industry (possibly AI-related) 75%
Interests Art, technology, AI, philosophy 85%
Personality Traits Analytical, curious, open-minded 70%
Communication Style Direct, articulate, enjoys intellectual discussions 80%
Familiarity with AI High, knowledgeable about AI concepts and developments 90%

It's fascinating to see how the AI made educated guesses about my age range, educational background, and even my familiarity with AI concepts. However, it's crucial to note that these hypotheses are based on limited conversational data and may not accurately reflect reality.

While some of the AI's guesses were reasonably accurate, others were ways off the mark. Given the dataset of a chat conversation over the course of a few weeks, that is still highly impressive.

If you'd like to try this prompt out yourself, please get in touch with me via email or @geoffkim and I'll be more than happy to share it with you.