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within Kristian Hammond Remove this filter Computer Science Remove this filter Control, Robotics, Mechatronics Remove this filter

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  1. 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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  2. 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)

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