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

TL;DR

This paper reframes AI safety around societal cognitive capacity, arguing that cognitive overload is a central barrier to responsible AI alignment. It analyzes how AI amplifies overload through algorithmic manipulation, automation, deregulation, and meaning-making challenges, and identifies the resulting governance paralysis and inequality. The author then outlines an overload-resilient design and governance agenda, including human-centered AI design, guardrails, participatory deliberation, and independent ethics oversight. The contribution is a coherent synthesis linking present-day information overload to long-term existential risk, with practical policy and research directions to build cognitive-resilient AI systems.

Abstract

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.