How AI Aggregation Affects Knowledge

1. 1Extend the DeGroot model to incorporate AI aggregation
2. 2Introduce an AI aggregator that trains on population beliefs and generates synthesized signals
3. 3Analyze the learning gap as the deviation of long-run beliefs from the efficient benchmark
4. 4Evaluate how AI aggregation affects the learning gap and social learning outcomes

Data scientists and AI researchers benefit from understanding how AI aggregation impacts knowledge formation, as it informs the development of more effective AI systems and mitigates potential biases

💡 AI aggregation can impact the formation of knowledge by altering population beliefs and introducing potential biases

🤖 AI aggregation alters social learning by introducing synthesized signals #AI #SocialLearning