Search papers, labs, and topics across Lattice.
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Uncoded crash factors like phone use and medical episodes are vastly undercounted in police records, with narratives revealing 2x more injury crashes than coded fields.
A certification layer is developed that wraps any severity model unmodified, with distribution-free guarantees using this structure, and attaches identical validity and certifies, on the vulnerable road users, a model-independent floor on set width that no base model beats.
A Distributional Sociotechnical Audit (DSA) is developed that integrates algorithmic equity, synthetic-data validity, and public-attitude heterogeneity into one empirical pipeline and offers a more defensible basis for transport GenAI governance than categorical approval tiers.
MotoSafety outperforms existing models in collision risk assessment with a lightweight architecture that can be deployed on low-cost hardware.
Discovering distinct clusters with individual dependency structures in survey data slashes prediction error by 25% compared to assuming everyone thinks alike.
Knowing how the public reacts to AI breakthroughs can help predict the *next* breakthrough, but only if you model the relationship as a directional coupling between innovation and response.
Half of pedestrian crashes outside intersections happen surprisingly close to them, suggesting intersection design flaws may have a larger impact than previously thought.
