Copyleaks 調査により、GPT-3.5 出力のうち 60% 近くに何らかの形で盗用されたコンテンツが含まれていることが判明

New York, NY – February 22, 2024 – According to a 2023 報告2026年までに、オンラインコンテンツの約90%がAIによって生成されると予想されています。AIコンテンツの飽和により、データ汚染と避けられない モデルの崩壊 raise concerns about AI-generated text’s overall quality and reliability.

さらに、独創性に関する幅広い懸念も生まれ始めている。 複数の訴訟 regarding AI infringing on copyright and potentially plagiarizing, educational institutions and enterprises across the globe are questioning the authenticity of AI text: Where did it originate from? Is it safe to use as original content

結局のところ、AIは盗作をするのでしょうか?

To find out, Copyleaks, the leader in plagiarism identification, AI-content detection, and GenAI governance, conducted an analysis to determine the degree to which AI-generated content is original and free of potential plagiarism.

この分析を実行するには:

Copyleaks asked GPT-3.5 to write 1,045 出力、平均化 412語 すべての出力にわたって、 26 subjects: Physics, Chemistry, Science, Psychology, Law, Economics, Biology, Business Studies, Engineering, Accounting, Geography, Mathematics, Computer Science, Sports, World History, Philosophy, English Language, Art, Physical Education, Statistics, Social Science, Nature, Music, Sociology, Humanities, Theater. 

Copyleaks gauged the specific outputs with the highest levels of identical text (A one-for-one copying of someone else’s text that is passed off as your own), minor changes (Content with minor alterations to the source material, such as altering a verb within a sentence (e.g., slow to slowly), and paraphrasing (Putting someone else’s idea into your own words without crediting the original source) across all 26 subjects. 

Key findings from the analysis include:

• 59.7% of GPT-3.5 outputs contained some form of plagiarized content. 45.7% of all outputs contained identical text, 27.4% contained minor changes,  and 46.5% had paraphrased text. This also highlights that GPT-3.5 isn’t manufacturing “brand new” text; most of the content hails from a previous source, raising issues around plagiarism, copyright, and intellectual property.

   

• The individual GPT-3.5 output with the highest percentage of plagiarism was in Physics, where 27.0% of the text was identical. This was followed by an individual Chemistry output where 24.7% of the text was identical.

   

• The analysis also examined Similarity Scores. The Similarity Score is a Copyleaks-specific scoring method aggregating the rate of identical text, minor changes, paraphrased text, and more. A score of 0% signifies that all of the content is original, whereas a score of 100% means that none of the content is original.
   

• The subject with the highest average Similarity Score was Physics at 31.3%, followed closely by Psychology at 27.7% and Science at 26.7%. The subjects with the lowest average Similarity Score were Theater at 0.9%, Humanities at 2.8%, and English Language at 5.4%.

   

The insights provided by the analysis can help educational institutions and organizations put emphasis on certain subjects when checking for plagiarism, allowing them to tailor their approach as needed to ensure all potential risks and concerns are addressed,” said Alon Yamin, CEO and Co-founder of Copyleaks. “For example, Physics, Chemistry, Mathematics, and Psychology might require a more in-depth look to identify plagiarized text, while other subjects, including Theater and Humanities, may require less scrutiny.”

Yamin added: “Furthermore, the data underscores the need for organizations to adopt solutions that detect the presence of AI-generated content and provide the necessary transparency surrounding potential plagiarism within the AI content. Full-spectrum protection that includes AI and plagiarism detection ensures compliance with copyright and licensing and empowers authenticity and originality within all content.”