---
_id: '57250'
author:
- first_name: Christian
full_name: Schütze, Christian
last_name: Schütze
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
- first_name: Olesja
full_name: Lammert, Olesja
id: '47384'
last_name: Lammert
orcid: 0000-0001-8201-5166
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Schütze C, Richter B, Lammert O, Thommes K, Wrede B. Static Socio-demographic
and Individual Factors for Generating Explanations in XAI: Can they serve as a
prior in DSS for adaptation of explanation strategies? In: HAI ’24: Proceedings
of the 12th International Conference on Human-Agent Interaction. ACM; 2024:141-149.
doi:10.1145/3687272.3688300'
apa: 'Schütze, C., Richter, B., Lammert, O., Thommes, K., & Wrede, B. (2024).
Static Socio-demographic and Individual Factors for Generating Explanations in
XAI: Can they serve as a prior in DSS for adaptation of explanation strategies?
HAI ’24: Proceedings of the 12th International Conference on Human-Agent Interaction,
141–149. https://doi.org/10.1145/3687272.3688300'
bibtex: '@inproceedings{Schütze_Richter_Lammert_Thommes_Wrede_2024, title={Static
Socio-demographic and Individual Factors for Generating Explanations in XAI: Can
they serve as a prior in DSS for adaptation of explanation strategies?}, DOI={10.1145/3687272.3688300}, booktitle={HAI
’24: Proceedings of the 12th International Conference on Human-Agent Interaction},
publisher={ACM}, author={Schütze, Christian and Richter, Birte and Lammert, Olesja
and Thommes, Kirsten and Wrede, Britta}, year={2024}, pages={141–149} }'
chicago: 'Schütze, Christian, Birte Richter, Olesja Lammert, Kirsten Thommes, and
Britta Wrede. “Static Socio-Demographic and Individual Factors for Generating
Explanations in XAI: Can They Serve as a Prior in DSS for Adaptation of Explanation
Strategies?” In HAI ’24: Proceedings of the 12th International Conference on
Human-Agent Interaction, 141–49. ACM, 2024. https://doi.org/10.1145/3687272.3688300.'
ieee: 'C. Schütze, B. Richter, O. Lammert, K. Thommes, and B. Wrede, “Static Socio-demographic
and Individual Factors for Generating Explanations in XAI: Can they serve as a
prior in DSS for adaptation of explanation strategies?,” in HAI ’24: Proceedings
of the 12th International Conference on Human-Agent Interaction, 2024, pp.
141–149, doi: 10.1145/3687272.3688300.'
mla: 'Schütze, Christian, et al. “Static Socio-Demographic and Individual Factors
for Generating Explanations in XAI: Can They Serve as a Prior in DSS for Adaptation
of Explanation Strategies?” HAI ’24: Proceedings of the 12th International
Conference on Human-Agent Interaction, ACM, 2024, pp. 141–49, doi:10.1145/3687272.3688300.'
short: 'C. Schütze, B. Richter, O. Lammert, K. Thommes, B. Wrede, in: HAI ’24: Proceedings
of the 12th International Conference on Human-Agent Interaction, ACM, 2024, pp.
141–149.'
date_created: 2024-11-20T07:30:01Z
date_updated: 2024-11-20T09:42:20Z
department:
- _id: '178'
- _id: '184'
doi: 10.1145/3687272.3688300
language:
- iso: eng
page: 141-149
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
publication: 'HAI ''24: Proceedings of the 12th International Conference on Human-Agent
Interaction'
publication_identifier:
isbn:
- '9798400711787'
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: 'Static Socio-demographic and Individual Factors for Generating Explanations
in XAI: Can they serve as a prior in DSS for adaptation of explanation strategies?'
type: conference
user_id: '72497'
year: '2024'
...
---
_id: '58708'
abstract:
- lang: eng
text: Research about explanation processes is gaining relevance because of the increased
popularity of artificial systems required to explain their function or outcome.
Following an interactive approach, not only explainers, but also explainees contribute
to successful interactions. However, little is known about how explainees actively
guide explanation processes and how their involvement relates to learning. We
explored the occurrence and type of explainees’ questions in 20 adult — adult
explanation dialogues about unknown present and absent objects. Crucially, we
related the question types to the explainees’ subsequent recall of the unknown
object labels. We found that explainees asked different types of questions, especially
about the object’s label and facts. Questions about the object’s function were
asked more when objects were present. In addition, requests for labelling were
linked to better recall. The results contribute to designing explainable AI that
aims to provide relevant and adaptive explanations and to further experimental
approaches to study explanations.
article_type: original
author:
- first_name: Josephine Beryl
full_name: Fisher, Josephine Beryl
id: '56345'
last_name: Fisher
orcid: 0000-0002-9997-9241
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
id: '50352'
last_name: Rohlfing
orcid: 0000-0002-5676-8233
- first_name: Ed
full_name: Donnellan, Ed
last_name: Donnellan
- first_name: Angela
full_name: Grimminger, Angela
id: '57578'
last_name: Grimminger
- first_name: Yan
full_name: Gu, Yan
last_name: Gu
- first_name: Gabriella
full_name: Vigliocco, Gabriella
last_name: Vigliocco
citation:
ama: 'Fisher JB, Rohlfing KJ, Donnellan E, Grimminger A, Gu Y, Vigliocco G. Explain
with, rather than explain to: How explainees shape their own learning. Interaction
Studies. 2024;25(2):244-255. doi:doi.org/10.1075/is.23019.fis'
apa: 'Fisher, J. B., Rohlfing, K. J., Donnellan, E., Grimminger, A., Gu, Y., &
Vigliocco, G. (2024). Explain with, rather than explain to: How explainees shape
their own learning. Interaction Studies, 25(2), 244–255. https://doi.org/doi.org/10.1075/is.23019.fis'
bibtex: '@article{Fisher_Rohlfing_Donnellan_Grimminger_Gu_Vigliocco_2024, title={
Explain with, rather than explain to: How explainees shape their own learning},
volume={25}, DOI={doi.org/10.1075/is.23019.fis},
number={2}, journal={Interaction Studies}, publisher={John Benjamins}, author={Fisher,
Josephine Beryl and Rohlfing, Katharina J. and Donnellan, Ed and Grimminger, Angela
and Gu, Yan and Vigliocco, Gabriella}, year={2024}, pages={244–255} }'
chicago: 'Fisher, Josephine Beryl, Katharina J. Rohlfing, Ed Donnellan, Angela Grimminger,
Yan Gu, and Gabriella Vigliocco. “ Explain with, Rather than Explain to: How Explainees
Shape Their Own Learning.” Interaction Studies 25, no. 2 (2024): 244–55.
https://doi.org/doi.org/10.1075/is.23019.fis.'
ieee: 'J. B. Fisher, K. J. Rohlfing, E. Donnellan, A. Grimminger, Y. Gu, and G.
Vigliocco, “ Explain with, rather than explain to: How explainees shape their
own learning,” Interaction Studies, vol. 25, no. 2, pp. 244–255, 2024,
doi: doi.org/10.1075/is.23019.fis.'
mla: 'Fisher, Josephine Beryl, et al. “ Explain with, Rather than Explain to: How
Explainees Shape Their Own Learning.” Interaction Studies, vol. 25, no.
2, John Benjamins, 2024, pp. 244–55, doi:doi.org/10.1075/is.23019.fis.'
short: J.B. Fisher, K.J. Rohlfing, E. Donnellan, A. Grimminger, Y. Gu, G. Vigliocco,
Interaction Studies 25 (2024) 244–255.
date_created: 2025-02-19T09:09:03Z
date_updated: 2025-09-02T14:17:44Z
department:
- _id: '749'
doi: doi.org/10.1075/is.23019.fis
intvolume: ' 25'
issue: '2'
language:
- iso: eng
main_file_link:
- url: https://www.jbe-platform.com/content/journals/10.1075/is.23019.fis
page: 244-255
project:
- _id: '111'
name: 'TRR 318 - A01: TRR 318 - Adaptives Erklären (Teilprojekt A01)'
- _id: '112'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
- _id: '109'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: Interaction Studies
publication_identifier:
unknown:
- ' 1572-0373'
publication_status: published
publisher: John Benjamins
status: public
title: ' Explain with, rather than explain to: How explainees shape their own learning'
type: journal_article
user_id: '57578'
volume: 25
year: '2024'
...
---
_id: '49516'
abstract:
- lang: eng
text: In this article, we present RISE—a Robotics
Integration and Scenario-Management
Extensible-Architecture—for designing human–robot dialogs
and conducting Human–Robot Interaction (HRI) studies.
In current HRI research, interdisciplinarity in the creation and implementation
of interaction studies is becoming increasingly important. In addition, there
is a lack of reproducibility of the research results. With the presented open-source
architecture, we aim to address these two topics. Therefore, we discuss the advantages
and disadvantages of various existing tools from different sub-fields within robotics.
Requirements for an architecture can be derived from this overview of the literature,
which 1) supports interdisciplinary research, 2) allows reproducibility of the
research, and 3) is accessible to other researchers in the field of HRI. With
our architecture, we tackle these requirements by providing a Graphical
User Interface which explains the robot behavior and allows introspection
into the current state of the dialog. Additionally, it offers controlling possibilities
to easily conduct Wizard of Oz studies. To achieve
transparency, the dialog is modeled explicitly, and the robot behavior can be
configured. Furthermore, the modular architecture offers an interface for external
features and sensors and is expandable to new robots and modalities.
article_type: original
author:
- first_name: André
full_name: Groß, André
last_name: Groß
- first_name: Christian
full_name: Schütze, Christian
last_name: Schütze
- first_name: Mara
full_name: Brandt, Mara
last_name: Brandt
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
- first_name: Birte
full_name: Richter, Birte
last_name: Richter
citation:
ama: 'Groß A, Schütze C, Brandt M, Wrede B, Richter B. RISE: an open-source architecture
for interdisciplinary and reproducible human–robot interaction research. Frontiers
in Robotics and AI. 2023;10. doi:10.3389/frobt.2023.1245501'
apa: 'Groß, A., Schütze, C., Brandt, M., Wrede, B., & Richter, B. (2023). RISE:
an open-source architecture for interdisciplinary and reproducible human–robot
interaction research. Frontiers in Robotics and AI, 10. https://doi.org/10.3389/frobt.2023.1245501'
bibtex: '@article{Groß_Schütze_Brandt_Wrede_Richter_2023, title={RISE: an open-source
architecture for interdisciplinary and reproducible human–robot interaction research},
volume={10}, DOI={10.3389/frobt.2023.1245501},
journal={Frontiers in Robotics and AI}, publisher={Frontiers Media SA}, author={Groß,
André and Schütze, Christian and Brandt, Mara and Wrede, Britta and Richter, Birte},
year={2023} }'
chicago: 'Groß, André, Christian Schütze, Mara Brandt, Britta Wrede, and Birte Richter.
“RISE: An Open-Source Architecture for Interdisciplinary and Reproducible Human–Robot
Interaction Research.” Frontiers in Robotics and AI 10 (2023). https://doi.org/10.3389/frobt.2023.1245501.'
ieee: 'A. Groß, C. Schütze, M. Brandt, B. Wrede, and B. Richter, “RISE: an open-source
architecture for interdisciplinary and reproducible human–robot interaction research,”
Frontiers in Robotics and AI, vol. 10, 2023, doi: 10.3389/frobt.2023.1245501.'
mla: 'Groß, André, et al. “RISE: An Open-Source Architecture for Interdisciplinary
and Reproducible Human–Robot Interaction Research.” Frontiers in Robotics and
AI, vol. 10, Frontiers Media SA, 2023, doi:10.3389/frobt.2023.1245501.'
short: A. Groß, C. Schütze, M. Brandt, B. Wrede, B. Richter, Frontiers in Robotics
and AI 10 (2023).
date_created: 2023-12-07T09:17:09Z
date_updated: 2023-12-07T12:09:41Z
ddc:
- '000'
doi: 10.3389/frobt.2023.1245501
file:
- access_level: closed
content_type: application/pdf
creator: angross
date_created: 2023-12-07T09:18:55Z
date_updated: 2023-12-07T09:18:55Z
file_id: '49517'
file_name: frobt-10-1245501.pdf
file_size: 40679118
relation: main_file
success: 1
file_date_updated: 2023-12-07T09:18:55Z
has_accepted_license: '1'
intvolume: ' 10'
keyword:
- Artificial Intelligence
- Computer Science Applications
language:
- iso: eng
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '113'
name: 'TRR 318 - A3: TRR 318 - Subproject A3'
- _id: '115'
grant_number: '438445824'
name: 'TRR 318 - A05: TRR 318 - Echtzeitmessung der Aufmerksamkeit im Mensch-Roboter-Erklärdialog
(Teilprojekt A05)'
publication: Frontiers in Robotics and AI
publication_identifier:
issn:
- 2296-9144
publication_status: published
publisher: Frontiers Media SA
status: public
title: 'RISE: an open-source architecture for interdisciplinary and reproducible human–robot
interaction research'
type: journal_article
user_id: '93405'
volume: 10
year: '2023'
...
---
_id: '51743'
author:
- first_name: Christian
full_name: Schulz, Christian
id: '72684'
last_name: Schulz
citation:
ama: Schulz C. From mental models to algorithmic imaginaries to co-constructive
mental models. Navigationen – Zeitschrift für Medien- und Kulturwissenschaften
. 2023;2:65-75. doi:http://dx.doi.org/10.25819/ubsi/10428
apa: Schulz, C. (2023). From mental models to algorithmic imaginaries to co-constructive
mental models. Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften
, 2, 65–75. http://dx.doi.org/10.25819/ubsi/10428
bibtex: '@article{Schulz_2023, title={From mental models to algorithmic imaginaries
to co-constructive mental models}, volume={2}, DOI={http://dx.doi.org/10.25819/ubsi/10428},
journal={Navigationen – Zeitschrift für Medien- und Kulturwissenschaften }, publisher={Universi
Verlag }, author={Schulz, Christian}, year={2023}, pages={65–75} }'
chicago: 'Schulz, Christian. “From Mental Models to Algorithmic Imaginaries to Co-Constructive
Mental Models.” Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften
2 (2023): 65–75. http://dx.doi.org/10.25819/ubsi/10428.'
ieee: 'C. Schulz, “From mental models to algorithmic imaginaries to co-constructive
mental models,” Navigationen – Zeitschrift für Medien- und Kulturwissenschaften
, vol. 2, pp. 65–75, 2023, doi: http://dx.doi.org/10.25819/ubsi/10428.'
mla: Schulz, Christian. “From Mental Models to Algorithmic Imaginaries to Co-Constructive
Mental Models.” Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften
, vol. 2, Universi Verlag , 2023, pp. 65–75, doi:http://dx.doi.org/10.25819/ubsi/10428.
short: C. Schulz, Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften 2
(2023) 65–75.
date_created: 2024-02-22T14:04:03Z
date_updated: 2024-02-22T15:34:37Z
department:
- _id: '36'
doi: http://dx.doi.org/10.25819/ubsi/10428
intvolume: ' 2'
language:
- iso: eng
page: 65-75
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: 'Navigationen – Zeitschrift für Medien- und Kulturwissenschaften '
publication_identifier:
issn:
- 1619-1641
publication_status: published
publisher: 'Universi Verlag '
status: public
title: From mental models to algorithmic imaginaries to co-constructive mental models
type: journal_article
user_id: '72684'
volume: 2
year: '2023'
...
---
_id: '51744'
author:
- first_name: Christian
full_name: Schulz, Christian
id: '72684'
last_name: Schulz
- first_name: Jens
full_name: Schröter, Jens
last_name: Schröter
citation:
ama: Schulz C, Schröter J. Tech/Imaginations – Introduction. Navigationen – Zeitschrift
für Medien- und Kulturwissenschaften . 2023;2:7-14. doi:http://dx.doi.org/10.25819/ubsi/10428
apa: Schulz, C., & Schröter, J. (2023). Tech/Imaginations – Introduction. Navigationen
– Zeitschrift Für Medien- Und Kulturwissenschaften , 2, 7–14. http://dx.doi.org/10.25819/ubsi/10428
bibtex: '@article{Schulz_Schröter_2023, title={Tech/Imaginations – Introduction},
volume={2}, DOI={http://dx.doi.org/10.25819/ubsi/10428},
journal={Navigationen – Zeitschrift für Medien- und Kulturwissenschaften }, publisher={Universi
Verlag }, author={Schulz, Christian and Schröter, Jens}, year={2023}, pages={7–14}
}'
chicago: 'Schulz, Christian, and Jens Schröter. “Tech/Imaginations – Introduction.”
Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften 2 (2023):
7–14. http://dx.doi.org/10.25819/ubsi/10428.'
ieee: 'C. Schulz and J. Schröter, “Tech/Imaginations – Introduction,” Navigationen
– Zeitschrift für Medien- und Kulturwissenschaften , vol. 2, pp. 7–14, 2023,
doi: http://dx.doi.org/10.25819/ubsi/10428.'
mla: Schulz, Christian, and Jens Schröter. “Tech/Imaginations – Introduction.” Navigationen
– Zeitschrift Für Medien- Und Kulturwissenschaften , vol. 2, Universi Verlag
, 2023, pp. 7–14, doi:http://dx.doi.org/10.25819/ubsi/10428.
short: C. Schulz, J. Schröter, Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften 2
(2023) 7–14.
date_created: 2024-02-22T14:09:50Z
date_updated: 2024-02-22T15:34:23Z
department:
- _id: '757'
doi: http://dx.doi.org/10.25819/ubsi/10428
intvolume: ' 2'
language:
- iso: eng
page: 7-14
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: 'Navigationen – Zeitschrift für Medien- und Kulturwissenschaften '
publication_identifier:
issn:
- 1619-1641
publication_status: published
publisher: 'Universi Verlag '
status: public
title: Tech/Imaginations – Introduction
type: journal_article
user_id: '72684'
volume: 2
year: '2023'
...
---
_id: '51741'
citation:
ama: Schulz C, Schröter J, Ernst C, eds. Tech/Imaginations. Vol 2. Universi
Verlag ; 2023. doi:http://dx.doi.org/10.25819/ubsi/10428
apa: Tech/Imaginations. (2023). In C. Schulz, J. Schröter, & C. Ernst (Eds.),
Navigationen – Zeitschrift für Medien- und Kulturwissenschaften (Vol.
2). Universi Verlag . http://dx.doi.org/10.25819/ubsi/10428
bibtex: '@book{Schulz_Schröter_Ernst_2023, title={Tech/Imaginations}, volume={2},
DOI={http://dx.doi.org/10.25819/ubsi/10428},
journal={Navigationen – Zeitschrift für Medien- und Kulturwissenschaften }, publisher={Universi
Verlag }, year={2023} }'
chicago: Schulz, Christian, Jens Schröter, and Christoph Ernst, eds. Tech/Imaginations.
Navigationen – Zeitschrift Für Medien- Und Kulturwissenschaften . Vol.
2. Universi Verlag , 2023. http://dx.doi.org/10.25819/ubsi/10428.
ieee: C. Schulz, J. Schröter, and C. Ernst, Eds., Tech/Imaginations, vol.
2. Universi Verlag , 2023.
mla: Schulz, Christian, et al., editors. “Tech/Imaginations.” Navigationen –
Zeitschrift Für Medien- Und Kulturwissenschaften , vol. 2, Universi Verlag
, 2023, doi:http://dx.doi.org/10.25819/ubsi/10428.
short: C. Schulz, J. Schröter, C. Ernst, eds., Tech/Imaginations, Universi Verlag
, 2023.
date_created: 2024-02-22T13:58:20Z
date_updated: 2024-07-02T12:38:47Z
department:
- _id: '757'
doi: http://dx.doi.org/10.25819/ubsi/10428
editor:
- first_name: Christian
full_name: Schulz, Christian
id: '72684'
last_name: Schulz
- first_name: 'Jens '
full_name: 'Schröter, Jens '
last_name: Schröter
- first_name: 'Christoph '
full_name: 'Ernst, Christoph '
last_name: Ernst
intvolume: ' 2'
language:
- iso: eng
page: '196'
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: 'Navigationen – Zeitschrift für Medien- und Kulturwissenschaften '
publication_identifier:
issn:
- 1619-1641
publication_status: published
publisher: 'Universi Verlag '
status: public
title: Tech/Imaginations
type: journal_editor
user_id: '72684'
volume: 2
year: '2023'
...
---
_id: '51767'
author:
- first_name: 'Fabian '
full_name: 'Beer, Fabian '
last_name: Beer
- first_name: Christian
full_name: Schulz, Christian
id: '72684'
last_name: Schulz
citation:
ama: 'Beer F, Schulz C. The Return of Black Box Theory in Explainable AI. In: 4S
Conference (Society for the Social Studies of Science), Honolulu/Hawaii, November
9.'
apa: Beer, F., & Schulz, C. (n.d.). The Return of Black Box Theory in Explainable
AI. 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii,
November 9.
bibtex: '@inproceedings{Beer_Schulz, title={The Return of Black Box Theory in Explainable
AI}, booktitle={4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii,
November 9}, author={Beer, Fabian and Schulz, Christian} }'
chicago: Beer, Fabian , and Christian Schulz. “The Return of Black Box Theory in
Explainable AI.” In 4S Conference (Society for the Social Studies of Science),
Honolulu/Hawaii, November 9, n.d.
ieee: F. Beer and C. Schulz, “The Return of Black Box Theory in Explainable AI.”
mla: Beer, Fabian, and Christian Schulz. “The Return of Black Box Theory in Explainable
AI.” 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii,
November 9.
short: 'F. Beer, C. Schulz, in: 4S Conference (Society for the Social Studies of
Science), Honolulu/Hawaii, November 9, n.d.'
date_created: 2024-02-22T15:15:20Z
date_updated: 2024-08-14T06:15:04Z
department:
- _id: '660'
language:
- iso: eng
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: 4S Conference (Society for the Social Studies of Science), Honolulu/Hawaii,
November 9
publication_status: unpublished
status: public
title: The Return of Black Box Theory in Explainable AI
type: conference
user_id: '72684'
year: '2023'
...
---
_id: '50262'
abstract:
- lang: eng
text: AbstractExplainable artificial intelligence
has mainly focused on static learning scenarios so far. We are interested in dynamic
scenarios where data is sampled progressively, and learning is done in an incremental
rather than a batch mode. We seek efficient incremental algorithms for computing
feature importance (FI). Permutation feature importance (PFI) is a well-established
model-agnostic measure to obtain global FI based on feature marginalization of
absent features. We propose an efficient, model-agnostic algorithm called iPFI
to estimate this measure incrementally and under dynamic modeling conditions including
concept drift. We prove theoretical guarantees on the approximation quality in
terms of expectation and variance. To validate our theoretical findings and the
efficacy of our approaches in incremental scenarios dealing with streaming data
rather than traditional batch settings, we conduct multiple experimental studies
on benchmark data with and without concept drift.
author:
- first_name: Fabian
full_name: Fumagalli, Fabian
last_name: Fumagalli
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Fumagalli F, Muschalik M, Hüllermeier E, Hammer B. Incremental permutation
feature importance (iPFI): towards online explanations on data streams. Machine
Learning. 2023;112(12):4863-4903. doi:10.1007/s10994-023-06385-y'
apa: 'Fumagalli, F., Muschalik, M., Hüllermeier, E., & Hammer, B. (2023). Incremental
permutation feature importance (iPFI): towards online explanations on data streams.
Machine Learning, 112(12), 4863–4903. https://doi.org/10.1007/s10994-023-06385-y'
bibtex: '@article{Fumagalli_Muschalik_Hüllermeier_Hammer_2023, title={Incremental
permutation feature importance (iPFI): towards online explanations on data streams},
volume={112}, DOI={10.1007/s10994-023-06385-y},
number={12}, journal={Machine Learning}, publisher={Springer Science and Business
Media LLC}, author={Fumagalli, Fabian and Muschalik, Maximilian and Hüllermeier,
Eyke and Hammer, Barbara}, year={2023}, pages={4863–4903} }'
chicago: 'Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara
Hammer. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations
on Data Streams.” Machine Learning 112, no. 12 (2023): 4863–4903. https://doi.org/10.1007/s10994-023-06385-y.'
ieee: 'F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “Incremental permutation
feature importance (iPFI): towards online explanations on data streams,” Machine
Learning, vol. 112, no. 12, pp. 4863–4903, 2023, doi: 10.1007/s10994-023-06385-y.'
mla: 'Fumagalli, Fabian, et al. “Incremental Permutation Feature Importance (IPFI):
Towards Online Explanations on Data Streams.” Machine Learning, vol. 112,
no. 12, Springer Science and Business Media LLC, 2023, pp. 4863–903, doi:10.1007/s10994-023-06385-y.'
short: F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, Machine Learning 112
(2023) 4863–4903.
date_created: 2024-01-05T21:52:28Z
date_updated: 2025-01-16T16:20:12Z
department:
- _id: '660'
doi: 10.1007/s10994-023-06385-y
intvolume: ' 112'
issue: '12'
keyword:
- Artificial Intelligence
- Software
language:
- iso: eng
page: 4863-4903
project:
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: Machine Learning
publication_identifier:
issn:
- 0885-6125
- 1573-0565
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Incremental permutation feature importance (iPFI): towards online explanations
on data streams'
type: journal_article
user_id: '93420'
volume: 112
year: '2023'
...
---
_id: '48778'
author:
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Rohit
full_name: Jagtani, Rohit
last_name: Jagtani
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Eyke
full_name: Huellermeier, Eyke
id: '48129'
last_name: Huellermeier
citation:
ama: 'Muschalik M, Fumagalli F, Jagtani R, Hammer B, Huellermeier E. iPDP: On Partial
Dependence Plots in Dynamic Modeling Scenarios. In: Proceedings of the World
Conference on Explainable Artificial Intelligence (XAI). ; 2023. doi:10.1007/978-3-031-44064-9_11'
apa: 'Muschalik, M., Fumagalli, F., Jagtani, R., Hammer, B., & Huellermeier,
E. (2023). iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. Proceedings
of the World Conference on Explainable Artificial Intelligence (XAI). https://doi.org/10.1007/978-3-031-44064-9_11'
bibtex: '@inproceedings{Muschalik_Fumagalli_Jagtani_Hammer_Huellermeier_2023, title={iPDP:
On Partial Dependence Plots in Dynamic Modeling Scenarios}, DOI={10.1007/978-3-031-44064-9_11},
booktitle={Proceedings of the World Conference on Explainable Artificial Intelligence
(xAI)}, author={Muschalik, Maximilian and Fumagalli, Fabian and Jagtani, Rohit
and Hammer, Barbara and Huellermeier, Eyke}, year={2023} }'
chicago: 'Muschalik, Maximilian, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer,
and Eyke Huellermeier. “IPDP: On Partial Dependence Plots in Dynamic Modeling
Scenarios.” In Proceedings of the World Conference on Explainable Artificial
Intelligence (XAI), 2023. https://doi.org/10.1007/978-3-031-44064-9_11.'
ieee: 'M. Muschalik, F. Fumagalli, R. Jagtani, B. Hammer, and E. Huellermeier, “iPDP:
On Partial Dependence Plots in Dynamic Modeling Scenarios,” 2023, doi: 10.1007/978-3-031-44064-9_11.'
mla: 'Muschalik, Maximilian, et al. “IPDP: On Partial Dependence Plots in Dynamic
Modeling Scenarios.” Proceedings of the World Conference on Explainable Artificial
Intelligence (XAI), 2023, doi:10.1007/978-3-031-44064-9_11.'
short: 'M. Muschalik, F. Fumagalli, R. Jagtani, B. Hammer, E. Huellermeier, in:
Proceedings of the World Conference on Explainable Artificial Intelligence (XAI),
2023.'
date_created: 2023-11-10T14:17:17Z
date_updated: 2025-09-11T16:14:34Z
department:
- _id: '660'
doi: 10.1007/978-3-031-44064-9_11
language:
- iso: eng
project:
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
- _id: '109'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
publication: Proceedings of the World Conference on Explainable Artificial Intelligence
(xAI)
publication_identifier:
eisbn:
- 1865-0937
eissn:
- '9783031440649'
isbn:
- '9783031440632'
issn:
- 1865-0929
publication_status: published
status: public
title: 'iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios'
type: conference
user_id: '93420'
year: '2023'
...
---
_id: '48776'
author:
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Eyke
full_name: Huellermeier, Eyke
id: '48129'
last_name: Huellermeier
citation:
ama: 'Muschalik M, Fumagalli F, Hammer B, Huellermeier E. iSAGE: An Incremental
Version of SAGE for Online Explanation on Data Streams. In: Machine Learning
and Knowledge Discovery in Databases: Research Track - European Conference (ECML
PKDD). Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-43418-1_26'
apa: 'Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2023). iSAGE:
An Incremental Version of SAGE for Online Explanation on Data Streams. In Machine
Learning and Knowledge Discovery in Databases: Research Track - European Conference
(ECML PKDD). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43418-1_26'
bibtex: '@inbook{Muschalik_Fumagalli_Hammer_Huellermeier_2023, title={iSAGE: An
Incremental Version of SAGE for Online Explanation on Data Streams}, DOI={10.1007/978-3-031-43418-1_26},
booktitle={Machine Learning and Knowledge Discovery in Databases: Research Track
- European Conference (ECML PKDD)}, publisher={Springer Nature Switzerland}, author={Muschalik,
Maximilian and Fumagalli, Fabian and Hammer, Barbara and Huellermeier, Eyke},
year={2023} }'
chicago: 'Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier.
“ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.”
In Machine Learning and Knowledge Discovery in Databases: Research Track -
European Conference (ECML PKDD). Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-43418-1_26.'
ieee: 'M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “iSAGE: An Incremental
Version of SAGE for Online Explanation on Data Streams,” in Machine Learning
and Knowledge Discovery in Databases: Research Track - European Conference (ECML
PKDD), Springer Nature Switzerland, 2023.'
mla: 'Muschalik, Maximilian, et al. “ISAGE: An Incremental Version of SAGE for Online
Explanation on Data Streams.” Machine Learning and Knowledge Discovery in Databases:
Research Track - European Conference (ECML PKDD), Springer Nature Switzerland,
2023, doi:10.1007/978-3-031-43418-1_26.'
short: 'M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: Machine Learning
and Knowledge Discovery in Databases: Research Track - European Conference (ECML
PKDD), Springer Nature Switzerland, 2023.'
date_created: 2023-11-10T14:11:20Z
date_updated: 2025-09-11T16:27:26Z
department:
- _id: '660'
doi: 10.1007/978-3-031-43418-1_26
language:
- iso: eng
project:
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '109'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: 'Machine Learning and Knowledge Discovery in Databases: Research Track
- European Conference (ECML PKDD)'
publication_identifier:
eisbn:
- '9783031434181'
eissn:
- 1611-3349
isbn:
- '9783031434174'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams'
type: book_chapter
user_id: '93420'
year: '2023'
...
---
_id: '48775'
author:
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Fumagalli F, Muschalik M, Hüllermeier E, Hammer B. On Feature Removal for
Explainability in Dynamic Environments. In: Proceedings of the European Symposium
on Artificial Neural Networks (ESANN). ; 2023. doi:10.14428/ESANN/2023.ES2023-148'
apa: Fumagalli, F., Muschalik, M., Hüllermeier, E., & Hammer, B. (2023). On
Feature Removal for Explainability in Dynamic Environments. Proceedings of
the European Symposium on Artificial Neural Networks (ESANN). ESANN 2023 -
European Symposium on Artificial Neural Networks, Computational Intelligence and
Machine Learning, Bruges (Belgium) and online. https://doi.org/10.14428/ESANN/2023.ES2023-148
bibtex: '@inproceedings{Fumagalli_Muschalik_Hüllermeier_Hammer_2023, title={On Feature
Removal for Explainability in Dynamic Environments}, DOI={10.14428/ESANN/2023.ES2023-148},
booktitle={Proceedings of the European Symposium on Artificial Neural Networks
(ESANN)}, author={Fumagalli, Fabian and Muschalik, Maximilian and Hüllermeier,
Eyke and Hammer, Barbara}, year={2023} }'
chicago: Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara
Hammer. “On Feature Removal for Explainability in Dynamic Environments.” In Proceedings
of the European Symposium on Artificial Neural Networks (ESANN), 2023. https://doi.org/10.14428/ESANN/2023.ES2023-148.
ieee: 'F. Fumagalli, M. Muschalik, E. Hüllermeier, and B. Hammer, “On Feature Removal
for Explainability in Dynamic Environments,” presented at the ESANN 2023 - European
Symposium on Artificial Neural Networks, Computational Intelligence and Machine
Learning, Bruges (Belgium) and online, 2023, doi: 10.14428/ESANN/2023.ES2023-148.'
mla: Fumagalli, Fabian, et al. “On Feature Removal for Explainability in Dynamic
Environments.” Proceedings of the European Symposium on Artificial Neural Networks
(ESANN), 2023, doi:10.14428/ESANN/2023.ES2023-148.
short: 'F. Fumagalli, M. Muschalik, E. Hüllermeier, B. Hammer, in: Proceedings of
the European Symposium on Artificial Neural Networks (ESANN), 2023.'
conference:
location: Bruges (Belgium) and online
name: ESANN 2023 - European Symposium on Artificial Neural Networks, Computational
Intelligence and Machine Learning
date_created: 2023-11-10T14:00:08Z
date_updated: 2025-09-11T16:26:21Z
department:
- _id: '660'
doi: 10.14428/ESANN/2023.ES2023-148
language:
- iso: eng
project:
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '109'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: Proceedings of the European Symposium on Artificial Neural Networks (ESANN)
publication_identifier:
unknown:
- ' 978-2-87587-088-9'
publication_status: published
status: public
title: On Feature Removal for Explainability in Dynamic Environments
type: conference
user_id: '93420'
year: '2023'
...
---
_id: '52230'
author:
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Patrick
full_name: Kolpaczki, Patrick
last_name: Kolpaczki
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B. SHAP-IQ: Unified
Approximation of any-order Shapley Interactions. In: Advances in Neural Information
Processing Systems (NeurIPS). Vol 36. ; 2023:11515--11551.'
apa: 'Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., & Hammer,
B. (2023). SHAP-IQ: Unified Approximation of any-order Shapley Interactions. Advances
in Neural Information Processing Systems (NeurIPS), 36, 11515--11551.'
bibtex: '@inproceedings{Fumagalli_Muschalik_Kolpaczki_Hüllermeier_Hammer_2023, title={SHAP-IQ:
Unified Approximation of any-order Shapley Interactions}, volume={36}, booktitle={Advances
in Neural Information Processing Systems (NeurIPS)}, author={Fumagalli, Fabian
and Muschalik, Maximilian and Kolpaczki, Patrick and Hüllermeier, Eyke and Hammer,
Barbara}, year={2023}, pages={11515--11551} }'
chicago: 'Fumagalli, Fabian, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier,
and Barbara Hammer. “SHAP-IQ: Unified Approximation of Any-Order Shapley Interactions.”
In Advances in Neural Information Processing Systems (NeurIPS), 36:11515--11551,
2023.'
ieee: 'F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, and B. Hammer,
“SHAP-IQ: Unified Approximation of any-order Shapley Interactions,” in Advances
in Neural Information Processing Systems (NeurIPS), 2023, vol. 36, pp. 11515--11551.'
mla: 'Fumagalli, Fabian, et al. “SHAP-IQ: Unified Approximation of Any-Order Shapley
Interactions.” Advances in Neural Information Processing Systems (NeurIPS),
vol. 36, 2023, pp. 11515--11551.'
short: 'F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, B. Hammer, in:
Advances in Neural Information Processing Systems (NeurIPS), 2023, pp. 11515--11551.'
date_created: 2024-03-01T14:15:31Z
date_updated: 2025-09-11T16:18:16Z
department:
- _id: '660'
intvolume: ' 36'
language:
- iso: eng
page: 11515--11551
project:
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
- _id: '109'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
publication: Advances in Neural Information Processing Systems (NeurIPS)
status: public
title: 'SHAP-IQ: Unified Approximation of any-order Shapley Interactions'
type: conference
user_id: '93420'
volume: 36
year: '2023'
...
---
_id: '48603'
abstract:
- lang: eng
text: 'AbstractToday, a major technological trend
is the increasing focus on the person: technical systems personalize, customize,
and tailor to the person in both beneficial and troubling ways. This trend has
moved beyond the realm of commerce and has become a matter of public governance,
where systems for citizen risk scoring, predictive policing, and social credit
scores proliferate. What these systems have in common is that they may target
the person and her ethical and political dispositions, her virtues. Virtue ethics
is the most appropriate approach for evaluating the impacts of these new systems,
which has translated in a revival of talk about virtue in technology ethics. Yet,
the focus on individual dispositions has rightly been criticized for lacking a
concern with the political collective and institutional structures. This paper
advocates a new direction of research into civic virtue, which is situated in
between personal dispositions and structures of governance. First, it surveys
the discourse on virtue ethics of technology, emphasizing its neglect of the political
dimension of impacts of emerging technologies. Second, it presents a pluralist
conception of civic virtue that enables us to scrutinize the impact of technology
on civic virtue on three different levels of reciprocal reputation building, the
cultivation of internal goods, and excellence in the public sphere. Third, it
illustrates the benefits of this conceptions by discussing some paradigmatic examples
of emerging technologies that aim to cultivate civic virtue.'
article_number: '71'
article_type: original
author:
- first_name: Wessel
full_name: Reijers, Wessel
id: '102524'
last_name: Reijers
orcid: 0000-0003-2505-1587
citation:
ama: Reijers W. Technology and Civic Virtue. Philosophy & Technology.
2023;36(4). doi:10.1007/s13347-023-00669-w
apa: Reijers, W. (2023). Technology and Civic Virtue. Philosophy & Technology,
36(4), Article 71. https://doi.org/10.1007/s13347-023-00669-w
bibtex: '@article{Reijers_2023, title={Technology and Civic Virtue}, volume={36},
DOI={10.1007/s13347-023-00669-w},
number={471}, journal={Philosophy & Technology}, publisher={Springer Science
and Business Media LLC}, author={Reijers, Wessel}, year={2023} }'
chicago: Reijers, Wessel. “Technology and Civic Virtue.” Philosophy & Technology
36, no. 4 (2023). https://doi.org/10.1007/s13347-023-00669-w.
ieee: 'W. Reijers, “Technology and Civic Virtue,” Philosophy & Technology,
vol. 36, no. 4, Art. no. 71, 2023, doi: 10.1007/s13347-023-00669-w.'
mla: Reijers, Wessel. “Technology and Civic Virtue.” Philosophy & Technology,
vol. 36, no. 4, 71, Springer Science and Business Media LLC, 2023, doi:10.1007/s13347-023-00669-w.
short: W. Reijers, Philosophy & Technology 36 (2023).
date_created: 2023-11-03T13:36:40Z
date_updated: 2025-09-22T10:03:57Z
department:
- _id: '11'
doi: 10.1007/s13347-023-00669-w
intvolume: ' 36'
issue: '4'
keyword:
- History and Philosophy of Science
- Philosophy
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/article/10.1007/s13347-023-00669-w
oa: '1'
project:
- _id: '109'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '370'
name: 'TRR 318; TP B06: Ethik und Normativität der erklärbaren KI'
publication: Philosophy & Technology
publication_identifier:
issn:
- 2210-5433
- 2210-5441
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: Technology and Civic Virtue
type: journal_article
user_id: '102524'
volume: 36
year: '2023'
...
---
_id: '48780'
abstract:
- lang: eng
text: Explainable Artificial Intelligence (XAI) has mainly focused on static learning
tasks so far. In this paper, we consider XAI in the context of online learning
in dynamic environments, such as learning from real-time data streams, where models
are learned incrementally and continuously adapted over the course of time. More
specifically, we motivate the problem of explaining model change, i.e. explaining
the difference between models before and after adaptation, instead of the models
themselves. In this regard, we provide the first efficient model-agnostic approach
to dynamically detecting, quantifying, and explaining significant model changes.
Our approach is based on an adaptation of the well-known Permutation Feature Importance
(PFI) measure. It includes two hyperparameters that control the sensitivity and
directly influence explanation frequency, so that a human user can adjust the
method to individual requirements and application needs. We assess and validate
our method’s efficacy on illustrative synthetic data streams with three popular
model classes.
author:
- first_name: Maximilian
full_name: Muschalik, Maximilian
last_name: Muschalik
- first_name: Fabian
full_name: Fumagalli, Fabian
id: '93420'
last_name: Fumagalli
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Eyke
full_name: Huellermeier, Eyke
id: '48129'
last_name: Huellermeier
citation:
ama: Muschalik M, Fumagalli F, Hammer B, Huellermeier E. Agnostic Explanation of
Model Change based on Feature Importance. KI - Künstliche Intelligenz.
2022;36(3-4):211-224. doi:10.1007/s13218-022-00766-6
apa: Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2022). Agnostic
Explanation of Model Change based on Feature Importance. KI - Künstliche Intelligenz,
36(3–4), 211–224. https://doi.org/10.1007/s13218-022-00766-6
bibtex: '@article{Muschalik_Fumagalli_Hammer_Huellermeier_2022, title={Agnostic
Explanation of Model Change based on Feature Importance}, volume={36}, DOI={10.1007/s13218-022-00766-6},
number={3–4}, journal={KI - Künstliche Intelligenz}, publisher={Springer Science
and Business Media LLC}, author={Muschalik, Maximilian and Fumagalli, Fabian and
Hammer, Barbara and Huellermeier, Eyke}, year={2022}, pages={211–224} }'
chicago: 'Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier.
“Agnostic Explanation of Model Change Based on Feature Importance.” KI - Künstliche
Intelligenz 36, no. 3–4 (2022): 211–24. https://doi.org/10.1007/s13218-022-00766-6.'
ieee: 'M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Agnostic Explanation
of Model Change based on Feature Importance,” KI - Künstliche Intelligenz,
vol. 36, no. 3–4, pp. 211–224, 2022, doi: 10.1007/s13218-022-00766-6.'
mla: Muschalik, Maximilian, et al. “Agnostic Explanation of Model Change Based on
Feature Importance.” KI - Künstliche Intelligenz, vol. 36, no. 3–4, Springer
Science and Business Media LLC, 2022, pp. 211–24, doi:10.1007/s13218-022-00766-6.
short: M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, KI - Künstliche Intelligenz
36 (2022) 211–224.
date_created: 2023-11-10T14:21:06Z
date_updated: 2025-01-16T16:19:35Z
department:
- _id: '660'
doi: 10.1007/s13218-022-00766-6
intvolume: ' 36'
issue: 3-4
keyword:
- Artificial Intelligence
language:
- iso: eng
page: 211-224
project:
- _id: '126'
name: 'TRR 318 - C3: TRR 318 - Subproject C3'
- _id: '117'
name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: KI - Künstliche Intelligenz
publication_identifier:
issn:
- 0933-1875
- 1610-1987
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Agnostic Explanation of Model Change based on Feature Importance
type: journal_article
user_id: '93420'
volume: 36
year: '2022'
...
---
_id: '24456'
abstract:
- lang: eng
text: One objective of current research in explainable intelligent systems is to
implement social aspects in order to increase the relevance of explanations. In
this paper, we argue that a novel conceptual framework is needed to overcome shortcomings
of existing AI systems with little attention to processes of interaction and learning.
Drawing from research in interaction and development, we first outline the novel
conceptual framework that pushes the design of AI systems toward true interactivity
with an emphasis on the role of the partner and social relevance. We propose that
AI systems will be able to provide a meaningful and relevant explanation only
if the process of explaining is extended to active contribution of both partners
that brings about dynamics that is modulated by different levels of analysis.
Accordingly, our conceptual framework comprises monitoring and scaffolding as
key concepts and claims that the process of explaining is not only modulated by
the interaction between explainee and explainer but is embedded into a larger
social context in which conventionalized and routinized behaviors are established.
We discuss our conceptual framework in relation to the established objectives
of transparency and autonomy that are raised for the design of explainable AI
systems currently.
article_type: original
author:
- first_name: Katharina J.
full_name: Rohlfing, Katharina J.
id: '50352'
last_name: Rohlfing
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
- first_name: Ingrid
full_name: Scharlau, Ingrid
id: '451'
last_name: Scharlau
orcid: 0000-0003-2364-9489
- first_name: Tobias
full_name: Matzner, Tobias
id: '65695'
last_name: Matzner
- first_name: Heike M.
full_name: Buhl, Heike M.
id: '27152'
last_name: Buhl
- first_name: Hendrik
full_name: Buschmeier, Hendrik
last_name: Buschmeier
- first_name: Elena
full_name: Esposito, Elena
last_name: Esposito
- first_name: Angela
full_name: Grimminger, Angela
id: '57578'
last_name: Grimminger
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Ilona
full_name: Horwath, Ilona
id: '68836'
last_name: Horwath
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Friederike
full_name: Kern, Friederike
last_name: Kern
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Petra
full_name: Wagner, Petra
last_name: Wagner
- first_name: Britta
full_name: Wrede, Britta
last_name: Wrede
citation:
ama: 'Rohlfing KJ, Cimiano P, Scharlau I, et al. Explanation as a Social Practice:
Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions
on Cognitive and Developmental Systems. 2021;13(3):717-728. doi:10.1109/tcds.2020.3044366'
apa: 'Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier,
H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier,
E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth,
H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward
a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions
on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366'
bibtex: '@article{Rohlfing_Cimiano_Scharlau_Matzner_Buhl_Buschmeier_Esposito_Grimminger_Hammer_Haeb-Umbach_et
al._2021, title={Explanation as a Social Practice: Toward a Conceptual Framework
for the Social Design of AI Systems}, volume={13}, DOI={10.1109/tcds.2020.3044366},
number={3}, journal={IEEE Transactions on Cognitive and Developmental Systems},
author={Rohlfing, Katharina J. and Cimiano, Philipp and Scharlau, Ingrid and Matzner,
Tobias and Buhl, Heike M. and Buschmeier, Hendrik and Esposito, Elena and Grimminger,
Angela and Hammer, Barbara and Haeb-Umbach, Reinhold and et al.}, year={2021},
pages={717–728} }'
chicago: 'Rohlfing, Katharina J., Philipp Cimiano, Ingrid Scharlau, Tobias Matzner,
Heike M. Buhl, Hendrik Buschmeier, Elena Esposito, et al. “Explanation as a Social
Practice: Toward a Conceptual Framework for the Social Design of AI Systems.”
IEEE Transactions on Cognitive and Developmental Systems 13, no. 3 (2021):
717–28. https://doi.org/10.1109/tcds.2020.3044366.'
ieee: 'K. J. Rohlfing et al., “Explanation as a Social Practice: Toward a
Conceptual Framework for the Social Design of AI Systems,” IEEE Transactions
on Cognitive and Developmental Systems, vol. 13, no. 3, pp. 717–728, 2021,
doi: 10.1109/tcds.2020.3044366.'
mla: 'Rohlfing, Katharina J., et al. “Explanation as a Social Practice: Toward a
Conceptual Framework for the Social Design of AI Systems.” IEEE Transactions
on Cognitive and Developmental Systems, vol. 13, no. 3, 2021, pp. 717–28,
doi:10.1109/tcds.2020.3044366.'
short: K.J. Rohlfing, P. Cimiano, I. Scharlau, T. Matzner, H.M. Buhl, H. Buschmeier,
E. Esposito, A. Grimminger, B. Hammer, R. Haeb-Umbach, I. Horwath, E. Hüllermeier,
F. Kern, S. Kopp, K. Thommes, A.-C. Ngonga Ngomo, C. Schulte, H. Wachsmuth, P.
Wagner, B. Wrede, IEEE Transactions on Cognitive and Developmental Systems 13
(2021) 717–728.
date_created: 2021-09-14T20:52:57Z
date_updated: 2023-12-05T10:15:02Z
ddc:
- '300'
department:
- _id: '603'
- _id: '749'
- _id: '424'
- _id: '67'
- _id: '574'
- _id: '184'
- _id: '757'
- _id: '54'
- _id: '178'
doi: 10.1109/tcds.2020.3044366
file:
- access_level: open_access
content_type: application/pdf
creator: haebumb
date_created: 2023-11-20T16:33:51Z
date_updated: 2023-11-20T16:33:51Z
file_id: '49081'
file_name: 2020-12-01_explainability_final_version.pdf
file_size: 626217
relation: main_file
file_date_updated: 2023-11-20T16:33:51Z
has_accepted_license: '1'
intvolume: ' 13'
issue: '3'
keyword:
- Explainability
- process ofexplaining andunderstanding
- explainable artificial systems
language:
- iso: eng
oa: '1'
page: 717-728
project:
- _id: '109'
grant_number: '438445824'
name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
publication: IEEE Transactions on Cognitive and Developmental Systems
publication_identifier:
issn:
- 2379-8920
- 2379-8939
publication_status: published
quality_controlled: '1'
status: public
title: 'Explanation as a Social Practice: Toward a Conceptual Framework for the Social
Design of AI Systems'
type: journal_article
user_id: '42933'
volume: 13
year: '2021'
...