چکیده مقاله
This study delves into the potential of artificial intelligence as a beneficial tool in various domains while advising caution against itsunchecked utilization as a reference in composing intricate scientific texts Although AI shows promise in supporting researchendeavors, its role in producing comprehensive scientific content demands careful consideration The research assesses the suitabilityand readability of AI generated responses to scientific queries, shedding light on scenarios where AI outputs may prove inadequateor inaccurate Specifically, we focus on the Central Limit Theorem, one of the most renowned and widely applicable theorems instatistics In pursuit of investigating this matter, we leveraged artificial intelligence to facilitate our research Subsequently, wescrutinized the outcomes derived from artificial intelligence through nonparametric analysis, leading us to question the dependabilityof AI in scientific writing endeavors
کلیدواژهها
نویسندگان
Zahra Sajjadnia
Shiraz University, Shiraz, Iran
Zohreh Shishebor
Shiraz University, Shiraz, Iran
شیوه ارجاع
Sajjadnia, Zahra and Shishebor, Zohreh,1403,Navigating the Reliability of AI as a Reference in Scientific Manuscript Writing: A Case Study on the Central Limit Theorem,1st International Biennial Conference of Artificial Intelligence and Data Science 2024,Bushehr
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی دوسالانه هوش مصنوعی و علوم داده3 اردیبهشت 1403 · بوشهر