Search Results - Weisz, Justin D.

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  1. 1
    Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

    Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI by Wang, Dakuo, Weisz, Justin D., Muller, Michael, Ram, Parikshit, Geyer, Werner, Dugan, Casey, Tausczik, Yla, Samulowitz, Horst, Gray, Alexander

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  2. 2
    Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks

    Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks by Wang, April Yi, Wang, Dakuo, Drozdal, Jaimie, Muller, Michael, Park, Soya, Weisz, Justin D., Liu, Xuye, Wu, Lingfei, Dugan, Casey

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  3. 3
    Design Principles for Generative AI Applications

    Design Principles for Generative AI Applications by Weisz, Justin D, He, Jessica, Muller, Michael, Hoefer, Gabriela, Miles, Rachel, Geyer, Werner

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  4. 4
    The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development

    The Programmer's Assistant: Conversational Interaction with a Large Language Model for Software Development by Ross, Steven I, Martinez, Fernando, Houde, Stephanie, Muller, Michael, Weisz, Justin D

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  5. 5
    Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML

    Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML by Narkar, Shweta, Zhang, Yunfeng, Q Vera Liao, Wang, Dakuo, Weisz, Justin D

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  6. 6
    Better Together? An Evaluation of AI-Supported Code Translation

    Better Together? An Evaluation of AI-Supported Code Translation by Weisz, Justin D, Muller, Michael, Ross, Steven I, Martinez, Fernando, Houde, Stephanie, Agarwal, Mayank, Talamadupula, Kartik, Richards, John T

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  7. 7
    In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes

    In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes by Ashoori, Maryam, Weisz, Justin D

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  8. 8
    Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise

    Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise by Weisz, Justin D, Kumar, Shraddha, Muller, Michael, Browne, Karen-Ellen, Goldberg, Arielle, Heintze, Ellice, Bajpai, Shagun

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  9. 9
    Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks

    Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks by April Yi Wang, Wang, Dakuo, Drozdal, Jaimie, Muller, Michael, Park, Soya, Weisz, Justin D, Liu, Xuye, Wu, Lingfei, Dugan, Casey

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  10. 10
    Toward General Design Principles for Generative AI Applications

    Toward General Design Principles for Generative AI Applications by Weisz, Justin D, Muller, Michael, He, Jessica, Houde, Stephanie

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  11. 11
    Expedient Assistance and Consequential Misunderstanding: Envisioning an Operationalized Mutual Theory of Mind

    Expedient Assistance and Consequential Misunderstanding: Envisioning an Operationalized Mutual Theory of Mind by Weisz, Justin D, Muller, Michael, Goldberg, Arielle, Dario Andres Silva Moran

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  12. 12
    Perfection Not Required? Human-AI Partnerships in Code Translation

    Perfection Not Required? Human-AI Partnerships in Code Translation by Weisz, Justin D, Muller, Michael, Houde, Stephanie, Richards, John, Ross, Steven I, Martinez, Fernando, Agarwal, Mayank, Talamadupula, Kartik

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  13. 13
    Expanding Explainability: Towards Social Transparency in AI systems

    Expanding Explainability: Towards Social Transparency in AI systems by Upol Ehsan, Q Vera Liao, Muller, Michael, Riedl, Mark O, Weisz, Justin D

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  14. 14
    Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions

    Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions by Jin, Hyo, Ostrand, Rachel, Weisz, Justin D, Dugan, Casey, Sattigeri, Prasanna, Wei, Dennis, Murugesan, Keerthiram, Geyer, Werner

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  15. 15
    AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates

    AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates by Weidele, Daniel Karl I, Weisz, Justin D, Eno Oduor, Muller, Michael, Andres, Josh, Gray, Alexander, Wang, Dakuo

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  16. 16
    A Case Study in Engineering a Conversational Programming Assistant's Persona

    A Case Study in Engineering a Conversational Programming Assistant's Persona by Ross, Steven I, Muller, Michael, Martinez, Fernando, Houde, Stephanie, Weisz, Justin D

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  17. 17
    Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

    Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI by Wang, Dakuo, Weisz, Justin D, Muller, Michael, Ram, Parikshit, Geyer, Werner, Dugan, Casey, Tausczik, Yla, Samulowitz, Horst, Gray, Alexander

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  18. 18
    Do's and Don'ts for Human and Digital Worker Integration

    Do's and Don'ts for Human and Digital Worker Integration by Muthusamy, Vinod, Unuvar, Merve, Hagen Völzer, Weisz, Justin D

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  19. 19
    Investigating Explainability of Generative AI for Code through Scenario-based Design

    Investigating Explainability of Generative AI for Code through Scenario-based Design by Jiao, Sun, Q Vera Liao, Muller, Michael, Agarwal, Mayank, Houde, Stephanie, Talamadupula, Kartik, Weisz, Justin D

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  20. 20
    Using Document Similarity Methods to create Parallel Datasets for Code Translation

    Using Document Similarity Methods to create Parallel Datasets for Code Translation by Agarwal, Mayank, Talamadupula, Kartik, Martinez, Fernando, Houde, Stephanie, Muller, Michael, Richards, John, Ross, Steven I, Weisz, Justin D

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