Please delete that! Why should I? Explaining learned irrelevance classifications of digital objects
| Autor: | Michael Siebers, Ute Schmid |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Forgetting
Point (typography) Computer science Level of detail (writing) Inference Context (language use) 02 engineering and technology Decision rule Inductive logic programming Artificial Intelligence Human–computer interaction 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Decision-making |
| Zdroj: | Otto-Friedrich-Universität Bamberg |
| DOI: | 10.20378/irb-46644 |
| Popis: | Dare2Del is an assistive system which facilitates intentional forgetting of irrelevant digital objects. For an assistive system to be helpful, the user has to trust the system’s decisions. Explanations are a crucial component in establishing this trust. We will introduce different types of explanations which can vary along different dimensions such as level of detail and modality suitable for different application contexts. We will outline the cognitive companion system Dare2Del which is intended to support users managing digital objects in a working environment. Core of Dare2Del is an interpretable machine learning mechanism which induces decision rules to classify whether a digital objects is irrelevant. In this paper, we focus on irrelevance of files. We formalize the decision making process as logic inference. Finally, we present a method to generate verbal explanations for irrelevance decisions and point out how such explanations can be constructed on different levels of details. Furthermore, we show how verbal explanations can be related to the path context of the file. We conclude with a short discussion of the scope and restrictions of our approach. |
| Databáze: | OpenAIRE |
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