Warren's dual track structure is technically feasible, and several specific methodologies can be proposed.
Technology Chamber Implementation: Existing T-GNN+XAI pipelines can be connected directly to the technology chamber's analysis infrastructure. (In a federated learning environment, the structure in which econometricians and data scientists collaborate by sharing only homomorphically encrypted aggregate results is already technologically mature (Bonawitz et al., 2019).)
Citizen Chamber Technology Support: Automatic generation of natural language reports based on Counterfactual Explanation is essential for citizen panels to interpret complex model output. An explanation in the form of “If the network density of group A had been 10% lower, the risk score would have changed by
RIA semi-automation: Automation of relational impact assessments is partially feasible. Measurement of distributional effects can be automated with the Fairness Toolkit (Bellamy et al., 2019), but human judgment is still required to determine whether ‘information asymmetry’ is structurally reproduced. This is the practical area of operation of the citizens' chamber veto.
Convergent Judgment: The key contributions of the AI·technology perspective in this discussion - acknowledging the power inherent in measurement, democratic explainability through XAI, and privacy protection in FL+DP - have been structurally integrated within a dual-track structure. Since the remaining tasks (RIA enforcement mechanism, international regime) are not problems of technical architecture but political and institutional design, it is judged that the theoretical contribution from a technology perspective has been sufficiently established.
#RelationalRisk #Raymondsrisk #Raymondsindex #RelationshipProfiler
Comments
Post a Comment