Immutable Ledger for Human-Machine Communication Evidence
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Solution Overview
Problem
Existing technologies face challenges in recording evidence of communication, particularly between humans and machines, which is crucial for dispute resolution, due to difficulties in storing entire interactions and identifying pertinent evidence.
Innovation Solution
A method involving a machine-implemented interaction assistant that monitors communication between humans and AI agents, extracts relevant evidence, and stores it in an immutable ledger for future retrieval and dispute resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If entire communication interactions are recorded for evidence, then completeness of evidence is improved, but storage requirements and system complexity increase
Solution Approach 1:
The system extracts only the essential elements from complete communication interactions - specifically identified agreements, commitments, and actionable terms - and stores these extracted components in the immutable ledger rather than storing entire conversation transcripts. This extraction process maintains evidence reliability while reducing storage requirements and system complexity.
Solution Approach 2:
The communication evidence is segmented into distinct components: metadata (parties, timestamp, communication channel), agreement terms (specific commitments made), and contextual information (necessary background). This segmentation allows selective storage of critical elements in the immutable ledger while maintaining organized, searchable evidence structures.
2Measurement precision
If detailed communication evidence is stored, then dispute resolution accuracy is improved, but retrieval time and processing overhead increase
Solution Approach 1:
The system performs preliminary organization and tagging of communication evidence during the recording phase, categorizing agreements by type, party, timestamp, and subject matter. This preliminary structuring enables rapid retrieval during dispute resolution without compromising the accuracy or completeness of the evidence presented.
Solution Approach 2:
The system creates structured digital copies of agreement evidence with standardized formats and metadata tags that enable efficient searching and retrieval. These copied representations maintain the legal and factual accuracy of original communications while being optimized for quick access and analysis during disputes.
3Stability of the object's composition
If immutable ledger storage is used for communication evidence, then evidence integrity is improved, but storage cost and system complexity increase
Solution Approach 1:
The system extracts only the essential agreement elements and stores them in the immutable ledger, rather than storing complete communication transcripts. This extraction approach maintains evidence integrity for dispute resolution while significantly reducing the complexity and cost of ledger implementation and maintenance.
Solution Approach 2:
The system applies immutable ledger storage selectively to specific critical evidence elements (agreements, commitments, terms) rather than uniformly to all communication data. This localized application of immutability maintains integrity where needed while reducing overall system complexity and storage costs.
Data Source
AI summary
Machine-implemented assistance is provided in interaction among multiple parties. This assistance can include recording of evidence of communication, and in particular to recording of evidence of language-based communication between humans and machines. Further, machine-implemented facilitation of dispute resolution based on the recorded evidence may be provided.