Carolin Leluschko’s research while affiliated with Deutsches Forschungszentrum für Künstliche Intelligenz and other places

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Publications (3)


Automatic litter detection using AI in environmental surveillance aircraft
  • Conference Paper

June 2024

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7 Reads

Tobias Binkele

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Theo Hengstermann

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[...]

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Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review

November 2023

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22 Reads

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2 Citations

Lecture Notes in Computer Science

A currently upcoming direction in the research of explainable artificial intelligence (XAI) is focusing on the involvement of stakeholders to achieve human-centered explanations. This work conducts a structured literature review to asses the current state of stakeholder involvement when applying XAI methods to remotely sensed image data. Additionally it is assessed, which goals are pursued for integrating explainability. The results show that there is no intentional stakeholder involvement. The majority of work is focused on improving the models performance and gaining insights into the models internal properties, which mostly benefits developers. Closing, future research directions, that emerged from the results of this work, are highlighted.


Citations (1)


... Third, usual RGB cameras are primarily passive, while RS can be active, which changes properties like the radar shadows, foreshortening, layover, elevation displacement, and speckle effects [33]. Several reviews in the literature already investigate the application of xAI in EO [20,23,30,52,58]. The pioneering work of [52] categorizes the identified studies in xAI according to the general challenges in bio-and geosciences. ...

Reference:

Recent Trends Challenges and Limitations of Explainable AI in Remote Sensing
Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review
  • Citing Chapter
  • November 2023

Lecture Notes in Computer Science