Please help us name our project! For a proposal to the DARPA Explainable AI program (XAI), we want you to help us decide on a name. The project will include machine learning and HCI research to create a system to help analysts better understand (and predict, trust, etc.) the system's decisions (e.g., as compared with ML outputs that are rather opaque as to how and why the answer was derived).

Please give the possible names below a rating from 0 to 5 stars.

We need your input by 2pm on Sunday!

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* 1. DELPHI: Deep Explainable Learning for Prediction with Human Interaction

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* 2. DIME: Deep Interpretable Models and Explanations

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* 3. EXPLORE: Explainable Learning Of Relations and Entities

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* 4. Explainable Deep Structured Models and Interfaces

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* 5. LEXUS: Learning Explainable and Understandable Systems

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* 6. MAX-AI: Models and Explanations for Artificial Intelligence

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* 7. ELUCID:  Explanation and Learning for User-Centric Information Discovery

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* 8. XLS: Explainable Learning Systems (pronounced “excels”)

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* 9. If you have a great idea for a different title, let use know here:

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