Perfect detection of computer-generated text faces fundamental challenges.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61383082%3A_____%2F24%3A00001386" target="_blank" >RIV/61383082:_____/24:00001386 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11110/24:10479645

Výsledek na webu

<a href="https://www.cell.com/cell-reports-physical-science/pdf/S2666-3864(23)00614-8.pdf" target="_blank" >https://www.cell.com/cell-reports-physical-science/pdf/S2666-3864(23)00614-8.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.xcrp.2023.101769" target="_blank" >10.1016/j.xcrp.2023.101769</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Perfect detection of computer-generated text faces fundamental challenges.

Popis výsledku v původním jazyce

Recent advancements in large language models (LLMs) have sparked a debate on the detection of artificial intelligence (AI)-generated text, a concern especially prevalent among academic institutions and publishers. While current detection tools claim high accuracy rates, some studies point to their unreliability. This paper contends that efforts to detect AI writing are fundamentally flawed because improved detection capabilities could inadvertently refine AI writing tools, leading to a technological arms race. Moreover, the rapid evolution of LLMs means detection methods may quickly become obsolete. We propose a focus on ethical guidelines rather than outright prohibitions, emphasizing that technological solutions should complement, not replace, the core ethical principles of scientific publishing.

Název v anglickém jazyce

Perfect detection of computer-generated text faces fundamental challenges.

Popis výsledku anglicky

Recent advancements in large language models (LLMs) have sparked a debate on the detection of artificial intelligence (AI)-generated text, a concern especially prevalent among academic institutions and publishers. While current detection tools claim high accuracy rates, some studies point to their unreliability. This paper contends that efforts to detect AI writing are fundamentally flawed because improved detection capabilities could inadvertently refine AI writing tools, leading to a technological arms race. Moreover, the rapid evolution of LLMs means detection methods may quickly become obsolete. We propose a focus on ethical guidelines rather than outright prohibitions, emphasizing that technological solutions should complement, not replace, the core ethical principles of scientific publishing.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

30107 - Medicinal chemistry

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

CELL REPORTS PHYSICAL SCIENCE

ISSN

2666-3864

e-ISSN

—

Svazek periodika

5

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

5

Strana od-do

1-5

Kód UT WoS článku

001167344000001

EID výsledku v databázi Scopus

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