2 citations · 8 across the 13 of their papers we have counts for
4 papers · 1 filter
Adaptive AI Delegation under Uncertainty: A Bayesian Governance Policy for Sequential Decision Authority
Matthew Francis Dixon
Organizations increasingly use large language models and agentic AI systems to generate probabilistic assessments and candidate actions in high-consequence settings. This creates a…
Model Validation of Agentic AI Systems: A POMDP-Based Framework for Belief-State, Forecast, and Policy Validation
Matthew Francis Dixon
Agentic artificial intelligence systems introduce a new class of model risk. Unlike traditional predictive models, autonomous agents continuously acquire information, form beliefs…
Belief at Risk: Quantifying Agentic AI Model Risk with LLM-Inferred Bayesian State Filters
Matthew Francis Dixon
Agentic AI systems create model risk because uncertain beliefs are coupled to autonomous actions. This paper develops a mathematical framework for quantifying agentic AI risk by re…
Bitcoin Risk Modeling with Blockchain Graphs
Cuneyt Akcora, Matthew Dixon, Yulia Gel +1
A key challenge for Bitcoin cryptocurrency holders, such as startups using ICOs to raise funding, is managing their FX risk. Specifically, a misinformed decision to convert Bitcoin…