paint-brush
AI-Generated Code and Copyright Infringement: Codex’s Attribution Problemby@legalpdf

AI-Generated Code and Copyright Infringement: Codex’s Attribution Problem

by Legal PDF5mSeptember 2nd, 2023
Read on Terminal Reader
Read this story w/o Javascript
tldt arrow

Too Long; Didn't Read

GitHub Copilot, powered by a modified version of OpenAI Codex, assists users in writing code by generating suggestions in real time. However, it reproduces copyrighted code from educational materials without proper attribution or adherence to licenses. This has raised copyright concerns, as Copilot's output often closely resembles verbatim code from copyrighted sources like programming textbooks. The program's lack of attribution and license information potentially exposes users to legal issues, as they might unknowingly violate licensing terms. Unlike finding code in public repositories or original sources, Copilot's generated code omits license terms, leading users to assume unrestricted use. This practice highlights the need for addressing copyright considerations in AI-generated content.
featured image - AI-Generated Code and Copyright Infringement: Codex’s Attribution Problem
Legal PDF HackerNoon profile picture
Legal PDF

Legal PDF

@legalpdf

Legal PDFs of important tech court cases are far too inaccessible for the average reader... until now.

L O A D I N G
. . . comments & more!

About Author

Legal PDF HackerNoon profile picture
Legal PDF@legalpdf
Legal PDFs of important tech court cases are far too inaccessible for the average reader... until now.

TOPICS

THIS ARTICLE WAS FEATURED IN...

Permanent on Arweave
Read on Terminal Reader
Read this story in a terminal
 Terminal
Read this story w/o Javascript
Read this story w/o Javascript
 Lite
Allyoucantech
Fediscanner