Human Invention Capture With Motion-Based Authentication
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Solution Overview
Problem
Current systems lack the ability to reliably verify the human origin of inventions, posing legal and ethical challenges in the domain of intellectual property rights, as AI-generated inventions are not universally recognized as patentable without human inventorship.
Innovation Solution
A computer-implemented method using a mobile device with an inertial measurement unit to detect a predetermined sequence of movements, authenticate the user, and record responses to invention-related questions in a multimodal format, timestamping each section to create a verifiable record of human involvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI systems are used to generate inventions, then productivity and innovation speed are improved, but the ability to verify human inventorship deteriorates
Solution Approach 1:
The system performs authentication and capture of invention details before the invention is formally submitted. The inertial measurement captures the inventor's movements at the moment of creation, and biometric data is collected in advance, creating a timestamped record that proves human involvement before AI processing occurs.
Solution Approach 2:
The system introduces an intermediary authentication layer between the inventor and the invention record. The inertial measurement device acts as a mediator that captures physical movements, while biometric sensors serve as intermediaries to verify human identity, creating a chain of evidence that links the human inventor to the invention despite AI assistance.
2Reliability
If traditional patent systems are maintained requiring human inventorship, then legal integrity is preserved, but the ability to recognize AI-assisted innovations deteriorates
Solution Approach 1:
The system changes the parameters of inventorship verification from binary (human vs. non-human) to a spectrum of human involvement levels. By capturing inertial data, biometric information, and detailed invention narratives, the system documents the degree and nature of human contribution, allowing patent offices to assess cases with varying levels of AI assistance according to existing human inventorship requirements.
Solution Approach 2:
The invention record is segmented into multiple components: inertial measurement data, biometric verification, timestamp information, and detailed invention description. This segmentation allows each element to be independently verified and assessed, providing a comprehensive view of human involvement that can be evaluated against patent law requirements.
3Productivity
If AI-generated content is accepted as patentable, then productivity increases, but the distinction between human and AI contributions becomes indistinguishable
Solution Approach 1:
The system uses inertial measurement to capture the mechanical vibrations and physical movements of the inventor's hand or device during the invention creation process. These subtle mechanical patterns serve as a unique fingerprint of human involvement, detectable through accelerometer and gyroscope data that record the specific motion characteristics of a human creator.
Solution Approach 2:
The system incorporates biometric verification that detects physiological characteristics of the inventor, analogous to color changes. Fingerprint patterns, facial recognition features, or other biometric markers serve as unique identifiers that confirm human presence and identity, making the human contribution visually or measurably distinct from AI-generated content.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures robust authentication of human inventorship, supporting legal frameworks by providing a reliable means to distinguish between human and AI-generated inventions, thereby maintaining the integrity of patent systems.
Implementation Method 1
The mobile device includes a sensor such as an inertial measurement device that is configured to detect the predetermined sequence of movements
Data Source
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AI summary
A computer-implemented method for capturing and authenticating human-generated inventions. The method involves initiating a timestamped invention capture event; prompting a user to move a mobile device in a predetermined sequence detected by a sensor; and authenticating the user based on successful detection of this movement sequence. Upon authentication, the method prompts the user to answer a series of invention-related questions in a multimodal format, recording each response in distinct, timestamped sections. The responses are stored in a database as a text file that includes time and date records of the invention capture event, creating a secure, verifiable record of user-generated invention data. The method further provides a reliable system for capturing and attributing inventions accurately, thereby supporting patent-related processes requiring authenticated human inventorship.