What does AI observe and respond to?

1. 1Analyze the data used to train an AI model to identify potential biases
2. 2Evaluate the assumptions made during the modeling process to ensure they are valid
3. 3Consider the limitations of the model's observations and responses
4. 4Test the model with diverse datasets to ensure robustness
5. 5Refine the model by incorporating additional data or refining its assumptions

Data scientists and AI engineers can benefit from understanding how AI models are shaped by data and assumptions, to improve their design and deployment

💡 AI models are not objective observers of reality, but are shaped by the data and assumptions used to build them

🤖 AI's view of reality is shaped by data & modeling choices. Understand these to improve AI design & deployment!