Robotics & Machine Learning Daily News2024,Issue(Sep.3) :192-196.

Patent Issued for Auditable authorship attribution with automatically applied au thorship tokens (USPTO 12061902)

Robotics & Machine Learning Daily News2024,Issue(Sep.3) :192-196.

Patent Issued for Auditable authorship attribution with automatically applied au thorship tokens (USPTO 12061902)

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Abstract

From the background information supplied by the inventors, news correspondents o btained the followingquote: “Traditionally, text editing software relied on hum an input to produce content. Thus, content couldbe assumed to have human author ship. Indeed, to label something as “human authored” was unnecessarybecause of course it was. Eventually, relatively basic or repetitive content could be gener ated with thehelp of simple software run at the creative direction of a human u ser (e.g., automatic creation of tables ofcontents based on headers). Only very recently has artificial intelligence grown in capability sufficient toallow fo r the generation of useful human-like content with little or no input from a hum an author. Now,content produced using text editing software can have a human au thor, an algorithmic author, or even acombination thereof. Given the quality of content produced by generative artificial intelligence, it can bedifficult, if not impossible, to separate human-generated content from artificially generated content.”

Key words

Artificial Intelligence/Emerging Techno logies/Machine Learning/Software/U.S. Bank National Association

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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