Creative Process Audit Trail for Human vs AI Content Verification
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Solution Overview
Problem
Existing methods struggle to differentiate between human-generated and AI-generated content, allowing AI bots to undermine the development of critical thinking and problem-solving skills in academic settings, and current detection systems lag behind the evolving sophistication of AI tools.
Innovation Solution
A system that tracks the creative process by recording user interactions and edits, generating an audit trail, and using a unique hash to create a non-fungible token (NFT) for document verification, enabling the evaluation of human involvement through a human generation score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI bots are used to generate content, then productivity and speed of content creation are improved, but the ability to detect human involvement and ensure originality deteriorates
Solution Approach 1:
The system performs preliminary tracking and recording of the creative process during content creation, capturing editing sessions, timestamps, and user interactions before submission. This preliminary action creates an audit trail that can later be analyzed to verify human involvement, allowing detection to keep pace with AI-generated content creation.
Solution Approach 2:
The system implements feedback mechanisms by analyzing the recorded creative process data and generating scores indicating the likelihood of human creation. This feedback loop allows continuous improvement of detection algorithms and provides real-time information about the authenticity of generated content.
2Reliability
If traditional plagiarism detection methods are used, then some level of detection capability is maintained, but the system lags behind evolving AI sophistication and cannot effectively differentiate human from AI-generated content
Solution Approach 1:
Instead of analyzing only the final content output, the system adds a new dimension by tracking and analyzing the creative process itself - the sequence of editing sessions, timestamps, user interactions, and modification patterns. This dimensional shift from product analysis to process analysis enables effective differentiation between human and AI-generated content regardless of how sophisticated the AI becomes.
3Loss of time
If students use AI bots for essay writing, then time and effort requirements are reduced, but critical thinking and problem-solving skill development deteriorates
Solution Approach 1:
The system provides feedback to educators and institutions about AI usage in academic work through generated scores and audit trails. This feedback mechanism enables institutions to identify students who may be relying excessively on AI tools, allowing for targeted interventions that preserve skill development while acknowledging the time-saving benefits of AI assistance.
Data Source
AI summary
Methods and apparatus for tracking a creative process include a remotely accessible content server and storage device for storing and processing data corresponding to the creation of a new project. User input data from one or more editing sessions may be uploaded to the content server and saved as editing information. An audit trail may be generated according to the collected editing information from each editing session. The audit trail may be forwarded directly to a reviewer or may be used by a verification system to generate a score corresponding to a likelihood that the projected was created without the use of artificial intelligence systems or bots.