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Call For Participation

Area A

Explaining

A01

Adaptive explanation generation

A02

Monitoring the understanding of explanations

A03

Co-constructing explanations with emotional alignment between AI-explainer and human explainee

A04

Integrating the technical model into the partner model in explanations of digital artifacts

A05

Contextualized and online parametrization of attention in human–robot explanatory dialog

A06

Co-Constructing social signs of understanding to adapt monitoring to diversity

Area B

Social practice

B01

A dialog-based approach to explaining machine learning models

B03

Exploring users, roles, and explanations in real-world contexts

B05

Co-constructing explainability with an interactively learning robot

Area C

Representing and computing explanations

C01

Healthy distrust in explanations

C02

Interactive learning of explainable, situation-adapted decision models

C03

Interpretable machine learning: Explaining change

C04

Metaphors as an explanation tool

C05

Creating explanations in collaborative human–machine knowledge exploration

C06

Technically enabled explaining of speaker traits

Intersecting project INF

Toward a framework for assessing explanation quality

Intersecting project Ö

Questions about explainable technology

Intersecting project Z

Central administrative project

Intersecting project RTG

Integrated Research Training Group

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