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  1. 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)

  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)

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