The Role of Governments in Increasing Interconnected Post-Deployment Monitoring of AI
<|reference_start|>The Role of Governments in Increasing Interconnected Post-Deployment Monitoring of AI: Language-based AI systems are diffusing into society, bringing positive and negative impacts. Mitigating negative impacts depends on accurate impact assessments, drawn from an empirical evidence base that makes causal connections between AI usage and impacts. Interconnected post-deployment monitoring combines information about model integration and use, application use, and incidents and impacts. For example, inference time monitoring of chain-of-thought reasoning can be combined with long-term monitoring of sectoral AI diffusion, impacts and incidents. Drawing on information sharing mechanisms in other industries, we highlight example data sources and specific data points that governments could collect to inform AI risk management.<|reference_end|>
@article{stein2024the,
    title={The Role of Governments in Increasing Interconnected Post-Deployment
  Monitoring of AI},
    author={Merlin Stein, Jamie Bernardi, Connor Dunlop},
    journal={arXiv preprint arXiv:2410.04931},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.04931},
    primaryClass={cs.CY cs.AI cs.HC}
}