U.S. Bancorp’s patent describes a method for a text editor or plugin that generates authorship tokens to distinguish between human and AI-generated content in source code. The system identifies significant manual edits and assigns human authorship tokens to relevant code regions, enhancing content attribution during development. GlobalData’s report on U.S. Bancorp gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
According to GlobalData’s company profile on U.S. Bancorp, Virtual banking assistant was a key innovation area identified from patents. U.S. Bancorp's grant share as of July 2024 was 90%. Grant share is based on the ratio of number of grants to total number of patents.
Authorship token generation for human and ai content identification
The granted patent (US12061902B1) outlines a computer-implemented method designed to enhance the development environment for users editing source code. The method involves detecting manual edits made by users, which may include insertions or deletions of characters. It assesses whether these edits meet a predetermined threshold of significance, which is determined through a calculated significance score. This score takes into account various factors, such as modifications to comments or non-comment code, changes in operations or variables, and the extent of AI assistance utilized during the editing process. If the region of code associated with the significant edit lacks a human authorship token, the method provides a token indicating human authorship, thereby distinguishing it from contributions made by artificial intelligence.
Additionally, the patent details various features of the human authorship token, which may include a code comment or a cryptographic hash to resist mimicry by generative AI. The method also encompasses storing the token in a distributed ledger and updating or preserving tokens when further edits are made to regions already associated with human authorship. Furthermore, it allows for the identification of human-authored regions versus those lacking such tokens, which can be used for training AI systems or for copyright notices. The system is designed to operate within a development environment, utilizing interfaces, processors, and memory to execute the outlined methods effectively.
To know more about GlobalData’s detailed insights on U.S. Bancorp, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
