In Pursuit of a Perfect CIRCLE

1. 1Explore the concept of uncertainty in AI using tools like Bayesian neural networks
2. 2Analyze human decision-making under uncertainty to inform AI model design
3. 3Develop and test AI systems that can effectively interact with humans in uncertain environments
4. 4Evaluate AI models using metrics that account for uncertainty, such as robustness and adaptability
5. 5Apply human-centered design principles to create AI systems that mitigate the negative effects of uncertainty

AI engineers and researchers can benefit from this perspective to improve their models, while product managers can use it to inform their product strategy and UX designers to create more intuitive interfaces

💡 Human interaction with uncertainty is a critical aspect of AI evaluation

💡 Evaluating AI is not just about metrics, but about understanding human interaction with uncertainty #AI #Uncertainty