AI Evaluation Program for Ethical Risk Assessment

The patent segments the comprehensive checklist into multiple hierarchical categories (e.g., data collection, data processing, model development, deployment). Each category contains specific check items related to particular aspects of AI system development. This segmentation allows assessors to navigate and complete checks systematically by category rather than facing a single overwhelming list, reducing perceived complexity while maintaining comprehensive coverage.

The patent introduces a new dimensional organization structure by arranging check items along multiple dimensions: categorical dimensions (different development stages), relational dimensions (connections between check items), and hierarchical dimensions (parent-child relationships). This multi-dimensional arrangement transforms the flat, overwhelming checklist into a structured, navigable space that reduces cognitive load while preserving completeness.

The patent merges related check items that share common themes, data flows, or impact pathways into grouped assessments. For example, check items related to data privacy, data security, and data quality are grouped together and can be assessed in an integrated manner. This merging reduces the number of separate assessment actions required while maintaining thorough analysis through the grouped evaluation, thereby reducing time burden.

The patent implements preliminary actions by pre-organizing check items into logical groups and establishing relationships between them before the actual assessment begins. Assessment templates and guidance materials are prepared in advance, showing how check items connect and what evidence is needed for each. This preliminary structuring enables assessors to proceed efficiently through the evaluation without having to figure out relationships and connections during the time-pressure of the actual assessment.

The patent implements feedback mechanisms where the assessment system tracks which check items have been completed and their results. When similar risks are encountered in different parts of the checklist, the system provides feedback about previously assessed related items, allowing assessors to reference prior evaluations rather than repeating them. This feedback loop maintains comprehensive coverage by ensuring all angles are considered while eliminating redundant work through cross-referencing.

The patent uses copying by creating template-based assessment structures where common evaluation criteria and evidence requirements are defined once and then copied across multiple related check items. Instead of manually designing separate assessment approaches for each similar risk, the system copies and adapts proven assessment templates, maintaining thoroughness through consistent evaluation frameworks while dramatically reducing the time and effort required to assess multiple similar risks.