ICIE 1.0: a novel tool for interactive contextual interaction explanations

Simon B. van der Zon, Wouter Duivesteijn, Werner van Ipenburg, Jan Veldsink, Mykola Pechenizkiy

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)
    2 Downloads (Pure)

    Abstract

    With the rise of new laws around privacy and awareness, explanation of automated decision making becomes increasingly important. Nowadays, machine learning models are used to aid experts in domains such as banking and insurance to find suspicious transactions, approve loans and credit card applications. Companies using such systems have to be able to provide the rationale behind their decisions; blindly relying on the trained model is not sufficient. There are currently a number of methods that provide insights in models and their decisions, but often they are either good at showing global or local behavior. Global behavior is often too complex to visualize or comprehend, so approximations are shown, and visualizing local behavior is often misleading as it is difficult to define what local exactly means (i.e. our methods don’t “know” how easily a feature-value can be changed; which ones are flexible, and which ones are static). We introduce the ICIE framework (Interactive Contextual Interaction Explanations) which enables users to view explanations of individual instances under different contexts. We will see that various contexts for the same case lead to different explanations, revealing different feature interactions.

    Original languageEnglish
    Title of host publicationECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Proceedings
    EditorsAnna Monreale, Carlos Alzate
    Place of PublicationCham
    PublisherSpringer
    Pages81-94
    Number of pages14
    ISBN (Electronic)978-3-030-13463-1
    ISBN (Print)978-3-030-13462-4
    DOIs
    Publication statusPublished - 1 Jan 2019
    Event2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018) - Dublin, Ireland
    Duration: 10 Sep 201814 Sep 2018
    Conference number: 18

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume11054 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018)
    Abbreviated titleECML PKDD 2018
    CountryIreland
    CityDublin
    Period10/09/1814/09/18
    Other3rd Workshop on Mining Data for Financial Applications, MIDAS 2018 and 2nd International Workshop on Personal Analytics and Privacy, PAP 2018 held at 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018

    Keywords

    • Awareness
    • Explanations
    • Feature contributions
    • Feature interactions
    • Model transparency
    • Responsible analytics
    • Trust

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