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Resource Name
Suspicious Behavior. A Data Annotation Tutorial
URL
Citation
KairUs (2020): Suspicious Behavior. A Data Annotation Tutorial.
Short Description

The project "Suspicious Behavior" (2020) by the media art duo Linda Kronman and Andreas Zingerle provides an impressive insight into a world in which artificial intelligences are trained to automatically recognize suspicious situations and distinguish "normal" from "abnormal" behavior. In a tutorial, users can try out for themselves how the training works. It is therefore particularly suitable for use in didactic contexts. The aim of the project is to show how problematic these practices are and how great the danger is that human behavior itself can be programmed with them.

Das Projekt „Suspicious Behavior" (2020) der Medienkunstduos Linda Kronman und Andreas Zingerle gibt einen beeindruckenden Einblick in eine Welt, in der künstliche Intelligenzen darauf trainiert werden, verdächtige Situationen automatisch zu erkennen und „normales“ von „anormalem“ Verhalten zu unterscheiden. In einem Tutorial kann selbst ausprobiert werden, wie das Training funktioniert. Es eignet sich deshalb besonders für den Einsatz in didaktischen Kontexten. Ziel des Projekts ist es, zu zeigen, wie problematisch diese Praktiken sind und wie groß die Gefahr ist, dass menschliches Verhalten selbst damit programmiert wird.

Creator URL
Creator URL (2)
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Who created the resource?
NGO / Civil society
If 'Other', specify here
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License
Non-free (proprietary, permissive, copyright)
Format
Website, Online Course (tutorial, lesson plan), Video (movie, documentary, video series)
Interactivity
Yes
Personalization
No
Languages
English
Domain
Educational, Data Visualization
Target Group Age
Young adults (17-20), Adult learning / University
Target Group Size
Individual (1)
Target Group: Prior knowledge required?
Introduction
If any - What kind of prior knowledige is required?
-
Timeframe
Up to 1 day
Usage
Once
Publication Date / Last Updated
2020
Technical Requirements / Accessibility
access to internet
Comment / Feedback
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Submitted by
tt