Biased Error Attribution in Multi-Agent Human-AI Systems Under Delayed Feedback

1. 1Identify potential cognitive biases in human decision-making under uncertainty and risk
2. 2Analyze how delayed feedback affects error attribution in multi-agent human-AI systems
3. 3Develop strategies to mitigate biased error attribution, such as feedback mechanisms and interface design
4. 4Evaluate the impact of these strategies on system performance and user trust

AI engineers and researchers working on human-AI collaboration systems can benefit from understanding how cognitive biases affect decision-making in these systems, while product managers and designers can use this knowledge to develop more effective user interfaces

💡 Cognitive biases can significantly impact decision-making in human-AI systems, especially under delayed feedback and multiple agents

🤖💡 Biased error attribution in human-AI systems with delayed feedback & multiple agents