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Emotionally traumatic events often lead to memories that are exceptionally vivid and enduring, sometimes persisting with remarkable clarity throughout an individual's life. A classic example of this phenomenon is a person who survives a car accident. Even years later, they may recall every detail of the event with startling accuracy — the screeching of the tires, the jarring impact, and the acrid smell of burning rubber. Such vividness contrasts sharply with how an individual...
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Algorithmic Witnessing: A Narrative Review and the AI CARE Framework for Trauma Testimony.

Dorit Hadar Shoval1, Yuval Haber2, Elad Refoua2

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Summary
This summary is machine-generated.

A "crisis of listening" drives trauma survivors to AI, creating a need for ethical frameworks. The AI CARE model reveals AI excels at technical witnessing but struggles with emotional resonance, posing risks and necessitating careful development.

Keywords:
AI CARE ModelAI ethicsalgorithmic witnessingconversational AItrauma testimony

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Area of Science:

  • Psychology
  • Computer Science
  • Sociology

Background:

  • Modern society faces a
  • crisis of listening,
  • hindering trauma survivors' ability to bear witness.

Purpose of the Study:

  • Develop a conceptual framework to analyze algorithmic listening to trauma.
  • Evaluate the capabilities and limitations of conversational AI in trauma witnessing.

Main Methods:

  • Critical narrative review of clinical and technical literature.
  • Synthesis of trauma theories to identify witnessing functions.
  • Scoping review of recent (2023-present) peer-reviewed studies on AI and trauma.

Main Results:

  • The AI CARE model identifies four witnessing functions: capturing narratives, arranging patterns, resonating emotions, and embodied attunement.
  • AI demonstrates high proficiency in technical functions (capturing, arranging) but limitations in relational functions (resonating, embodying).

Conclusions:

  • AI's lopsided proficiency in trauma witnessing presents both utility and risks.
  • Urgent empirical research is needed to address ethical challenges, potential erosion of relational expectations, and the redefinition of witnessing in the age of AI.