mlsanityData to 14 Oct 2026

Decision-Making Amid Information-Based Threats in Sociotechnical Systems: A Review

arXiv 2511.11595 ↗First posted 28 Oct 2025cs.CY cs.AI cs.HCcited by 0

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Abstract (arXiv)

Technological systems increasingly mediate human information exchange, spanning interactions among humans as well as between humans and artificial agents. The unprecedented scale and reliance on information disseminated through these systems substantially expand the scope of information-based influence that can both enable and undermine sound decision-making. Consequently, understanding and protecting decision-making today faces growing challenges, as individuals and organizations must navigate evolving opportunities and information-based threats across varied domains and information environments. While these risks are widely recognized, research remains fragmented: work evaluating information-based threat phenomena has progressed largely in isolation from foundational studies of human information processing. In this review, we synthesize insights from both domains to identify shared cognitive mechanisms that mediate vulnerability to information-based threats and shape behavioral outcomes. Finally, we outline directions for future research aimed at integrating these perspectives, emphasizing the importance of such integration for mitigating human vulnerabilities and aligning human-machine representations.

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References · 7

  1. 2016Concrete Problems in AI Safetycited by 1,642
  2. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,439
  3. 2023Getting aligned on representational alignmentcited by 143
  4. 2015The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classificationcited by 76
  5. 2024Building Machines that Learn and Think with Peoplecited by 73
  6. 2025Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistenciescited by 39
  7. 2022An Analysis and Comparison of ACT-R and Soarcited by 12

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