A research paper outlines the evolution of AI, from explicit programming to large language models, and highlights the systemic risks introduced by the latter, such as hallucinations, bias, and cognitive atrophy. The paper proposes a three-pillar framework for AI resilience, emphasizing cognitive sovereignty, measurable control, and partial autonomy to preserve human judgment and agency in decision-making processes. These challenges extend to institutional erosion across various sectors, including law, academia, journalism, and democratic governance. AI
IMPACT Proposes a framework to mitigate risks from advanced AI, aiming to preserve human judgment and agency in decision-making.
RANK_REASON The cluster contains an academic paper discussing AI risks and proposing a resilience framework. [lever_c_demoted from research: ic=1 ai=1.0]
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