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AI failures spark new theory on distributed responsibility and brand crises

A new theoretical framework proposes a sociotechnical approach to understanding brand crises stemming from artificial intelligence failures. The paper distinguishes between AI incidents, crises, and scandals, suggesting that responsibility attribution is shaped by how an incident is configured and perceived by different actors. It introduces "accountable transparency" as a response strategy that combines timely notice, clear explanations, acknowledgement of responsibility, and evidence of correction. AI

IMPACT Provides a framework for understanding and managing reputational damage from AI system failures.

RANK_REASON Academic paper on AI safety and responsibility. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI failures spark new theory on distributed responsibility and brand crises

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32 / 100
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Academic paper on AI safety and responsibility. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, safety
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mohammad Saleh Torkestani, Taha Mansouri ·

    When the Algorithm Becomes the Brand Crisis: A Sociotechnical Theory of Distributed Responsibility and Accountable Transparency

    arXiv:2609.00510v1 Announce Type: new Abstract: Artificial intelligence systems increasingly enact market-facing promises through chatbots, recommendation systems, automated decisions, and generative interfaces. Their failures, misuse, and misrepresentation raise a question that …