The author argues that the primary risks associated with artificial intelligence stem not from the models themselves, but from how they are integrated into existing workflows. This perspective suggests that focusing solely on model capabilities or safety features overlooks the broader systemic issues that can arise when AI is deployed. Addressing AI risk requires a deeper examination of the processes and human interactions surrounding AI systems. AI
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IMPACT Suggests a shift in focus for AI safety and risk management towards implementation and integration rather than solely model development.
RANK_REASON Opinion piece arguing that AI risk is a workflow problem, not a model problem.
