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STRIFE: A Socio-Technical Framework for Threat Modeling of Artificial Intelligence Systems

Author

Listed:
  • Rangarajan Parthasarathy

    (University of Wisconsin-Green Bay, USA)

  • Anuradha Rangarajan

    (Illinois Institute of Technology, USA)

  • Saran Ghatak

    (Illinois Institute of Technology, USA)

  • Prasad Bingi

    (Purdue University, Fort Wayne, USA)

Abstract

Due to the rapidly growing adoption of artificial intelligence (AI) technology, there has been an increased focus in recent times on the opportunities and perils of AI use. The authors propose STRIFE, a novel socio-technical threat modeling framework which combines technical, ethical, and legal dimensions to proactively identify and address negative and unintended consequences of AI systems. A second contribution of this inquiry is to enable the use of the National Institute of Standards and Technology AI Risk Management Framework to perform threat modeling in conjunction with STRIFE. By addressing AI threats using socio-technical considerations throughout the AI lifecycle, organizations can better engage with their societal stakeholders in managing the risks associated with AI systems. For these reasons, this study is expected to benefit academics, practitioners, and industry as a whole.

Suggested Citation

  • Rangarajan Parthasarathy & Anuradha Rangarajan & Saran Ghatak & Prasad Bingi, 2025. "STRIFE: A Socio-Technical Framework for Threat Modeling of Artificial Intelligence Systems," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 21(1), pages 1-32, January.
    • Handle: RePEc:igg:jiit00:v:21:y:2025:i:1:p:1-32
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    References listed on IDEAS

    as
    1. Robles Carrillo, Margarita, 2020. "Artificial intelligence: From ethics to law," Telecommunications Policy, Elsevier, vol. 44(6).
    2. Susan von Struensee, 2021. "The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI," Papers 2107.14052, arXiv.org.
    3. Gerhard Fischer & Thomas Herrmann, 2011. "Socio-Technical Systems: A Meta-Design Perspective," International Journal of Sociotechnology and Knowledge Development (IJSKD), IGI Global, vol. 3(1), pages 1-33, January.
    4. Rangarajan Parthasarathy & Anuradha Rangarajan & Monica Garfield & Prasad Bingi, 2024. "Global Perspective on EMR and eHealth: Sentiment Analysis of Twitter Data Incorporating a Socio-Technical Framework," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 20(1), pages 1-29, January.
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