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Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions

arXiv 2504.19990 ↗First posted 28 Apr 2025cs.CY cs.AIcited by 0

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Abstract (arXiv)

Societal cognitive overload, driven by the deluge of information and complexity in the AI age, poses a critical challenge to human well-being and societal resilience. This paper argues that mitigating cognitive overload is not only essential for improving present-day life but also a crucial prerequisite for navigating the potential risks of advanced AI, including existential threats. We examine how AI exacerbates cognitive overload through various mechanisms, including information proliferation, algorithmic manipulation, automation anxieties, deregulation, and the erosion of meaning. The paper reframes the AI safety debate to center on cognitive overload, highlighting its role as a bridge between near-term harms and long-term risks. It concludes by discussing potential institutional adaptations, research directions, and policy considerations that arise from adopting an overload-resilient perspective on human-AI alignment, suggesting pathways for future exploration rather than prescribing definitive solutions.

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References · 9

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2025DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learningcited by 6,330
  3. 2017Towards A Rigorous Science of Interpretable Machine Learningcited by 1,416
  4. 2017Explanation in Artificial Intelligence: Insights from the Social Sciencescited by 1,206
  5. 2018A Survey Of Methods For Explaining Black Box Modelscited by 973
  6. 2020DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detectioncited by 233
  7. 2023Managing extreme AI risks amid rapid progresscited by 48
  8. 2025Gradual Disempowerment: Systemic Existential Risks from Incremental AI Developmentcited by 46
  9. 2021The Flaws of Policies Requiring Human Oversight of Government Algorithmscited by 44

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