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  1. Article

    Open Access

    A user-centered approach to develo** an AI system analyzing U.S. federal court data

    We implemented a user-centered approach to the design of an artificial intelligence (AI) system that provides users with access to information about the workings of the United States federal court system regar...

    Rachel F. Adler, Andrew Paley, Andong L. Li Zhao in Artificial Intelligence and Law (2023)

  2. Article

    Open Access

    Separating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning

    In this paper, we outline a new method for evaluating the human impact of machine-learning (ML) applications. In partnership with Underwriters Laboratories Inc., we have developed a framework to evaluate the i...

    Ryan Jenkins, Kristian Hammond, Sarah Spurlock, Leilani Gilpin in AI & SOCIETY (2023)

  3. No Access

    Chapter

    Information Finding with Robust Entity Detection: The Case of an Online News Reader

    Journalists and editors work under tight deadlines and are forced to gather as much background and details as they can about a particular situation or event. They have to keep track of useful sources and they ...

    Francisco Iacobelli, Nathan Nichols in Human-Computer Interaction: The Agency Per… (2012)

  4. No Access

    Chapter and Conference Paper

    Integrating Information Resources: A Case Study of Engineering Design Support⋆

    The development of successful case-based design aids depends both on the CBR processes themselves and on crucial questions of integrating the CBR system into the larger task context: how to make the CBR compon...

    David B. Leake, Larry Birnbaum in Case-Based Reasoning Research and Developm… (1999)

  5. Article

    Opportunism and Learning

    There is a tension in the world between complexity and simplicity. On one hand, we are faced with a richness of environment and experience that is at times overwhelming. On the other, we seem to be able to cop...

    Kristian Hammond, Timothy Converse, Mitchell Marks, Colleen M. Seifert in Machine Learning (1993)

  6. No Access

    Chapter

    Opportunism and Learning

    There is a tension in the world between complexity and simplicity. On one hand, we are faced with a richness of environment and experience that is at times overwhelming. On the other, we seem to be able to cop...

    Kristian Hammond, Timothy Converse, Mitchell Marks in Case-Based Learning (1993)