XAI! Explainable AI: https://en.wikipedia.org/wiki/Explainable_artificial_intelligence https://en.wikipedia.org/wiki/Explainable_artificial_intelli... Use case

XAI! Explainable AI: https://en.wikipedia.org/wiki/Explainable_artificial_intelligence https://en.wikipedia.org/wiki/Explainable_artificial_intelli... Use case: Evidence-based policy; impact: https://en.wikipedia.org/wiki/Evidence-based_policy https://en.wikipedia.org/wiki/Evidence-based_policy Test case: "Find leading economic indicators like bond yield curve from discoverable datasets, and cache retrieved data like or with pandas-datareader" Use case: Teach Applied ML, NNs, XAI: Explainable AI, and first ethics Tools with integration opportunities: Google Model Explorer: https://github.com/google-ai-edge/model-explorer https://github.com/google-ai-edge/model-explorer Yellowbrick ML; teaches ML concepts with Visualizers for humans working with scikit-learn, which can be used to ensemble LLMs and other NNs because of its Estimator interfaces : https://www.scikit-yb.org/en/latest/ https://www.scikit-yb.org/en/latest/ Manim, ManimML, Blender, panda3d, unreal: "Explain this in 3d, with an interactive game" Khanmigo; "Explain this to me with exercises" "And Calculate cost of computation, and Identify relatively sustainable lower-cost methods for these computations" "Identify where this process, these tools, and experts picking algos, hyperparameters, and parameters has introduced biases into the analysis, given input from additional agents"