Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI, CAIP 2021, 20-24 November 2021, Bologna, Italy

Research Article

The Ethics of Early Crisis Detection - Big Data, AI, and Algorithms in the German Military

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  • @INPROCEEDINGS{10.4108/eai.20-11-2021.2314263,
        author={Lea  Buchhorn},
        title={The Ethics of Early Crisis Detection - Big Data, AI, and Algorithms in the German Military},
        proceedings={Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI, CAIP 2021, 20-24 November 2021, Bologna, Italy},
        publisher={EAI},
        proceedings_a={CAIP},
        year={2021},
        month={12},
        keywords={ai ethics early crisis detection data ethics},
        doi={10.4108/eai.20-11-2021.2314263}
    }
    
  • Lea Buchhorn
    Year: 2021
    The Ethics of Early Crisis Detection - Big Data, AI, and Algorithms in the German Military
    CAIP
    EAI
    DOI: 10.4108/eai.20-11-2021.2314263
Lea Buchhorn1,*
  • 1: Faculty of Governance and Global Affairs Leiden University, Turfmarkt 99, 2511DP The Hague, The Netherlands
*Contact email: lbuch@protonmail.com

Abstract

Technological developments have and will continue to influence our everyday lives. One of them, AI, promises many benefits in various fields, such as medicine, agriculture, or the military. On the other hand, AI advancement encompasses multifaceted risks and challenges, such as data privacy concerns, opaque decision-making, or discrimination against groups or individuals. AI and Big Data have gained more and more importance in military operations all over the globe. The German military has been trailing different approaches to AI-based early crisis detection applications. However, the more insights are gained about AI and the harm human errors in designing algorithms can cause, the more ethical concerns arise. Thus, this paper investigates which ethical challenges the German military is facing while testing and trying to implement AI-based early crisis detection systems.