Опубликована: Янв. 1, 2024
Язык: Английский
SSRN Electronic Journal, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
Large language models (LLMs) such as ChatGPT have garnered global attention recently, with a promise to disrupt and revolutionize business operations. As managers rely more on artificial intelligence (AI) technology, there is an urgent need understand whether are systematic biases in AI decision-making since they trained human data feedback, both may be highly biased. This paper tests broad range of behavioral commonly found humans that especially relevant operations management. We although can much less biased accurate than problems explicit mathematical/probabilistic natures, it also exhibits many possess, when the complicated, ambiguous, implicit. It suffer from conjunction bias probability weighting. Its preference influenced by framing, salience anticipated regret, choice reference. struggles process ambiguous information evaluates risks differently humans. produce responses similar heuristics employed humans, prone confirmation bias. To make these issues worse, overconfident. Our research characterizes ChatGPT's behaviors showcases for researchers businesses consider potentialAI developing employing
Язык: Английский
Процитировано
37
Publications, Год журнала: 2024, Номер 12(1), С. 9 - 9
Опубликована: Март 21, 2024
This study delves into a bibliometric analysis of ChatGPT, an AI tool adept at analysing and generating text, highlighting its influence in the realm social sciences. By harnessing data from Scopus database, total 814 relevant publications were selected scrutinised through VOSviewer, focusing on elements such as co-citations, keywords international collaborations. The objective is to unearth prevailing trends knowledge gaps scholarly discourse regarding ChatGPT’s application Concentrating articles year 2023, this underscores rapid evolution research domain, reflecting ongoing digital transformation society. presents broad thematic picture analysed works, indicating diversity perspectives—from ethical technological sociological—regarding implementation ChatGPT fields reveals interest various aspects using which may suggest certain openness educational sector adopting new technologies teaching process. These observations make contribution field sciences, suggesting potential directions for future research, policy or practice, especially less represented areas socio-legal implications AI, advocating multidisciplinary approach.
Язык: Английский
Процитировано
11
LatIA, Год журнала: 2024, Номер 1, С. 12 - 12
Опубликована: Июль 23, 2024
Язык: Английский
Процитировано
7
Manufacturing & Service Operations Management, Год журнала: 2025, Номер unknown
Опубликована: Янв. 31, 2025
Problem definition: Large language models (LLMs) are being increasingly leveraged in business and consumer decision-making processes. Because LLMs learn from human data feedback, which can be biased, determining whether exhibit human-like behavioral decision biases (e.g., base-rate neglect, risk aversion, confirmation bias, etc.) is crucial prior to implementing into contexts workflows. To understand this, we examine 18 common that important operations management (OM) using the dominant LLM, ChatGPT. Methodology/results: We perform experiments where GPT-3.5 GPT-4 act as participants test these vignettes adapted literature (“standard context”) variants reframed inventory general OM contexts. In almost half of experiments, Generative Pre-trained Transformer (GPT) mirrors biases, diverging prototypical responses remaining experiments. also observe GPT have a notable level consistency between standard OM-specific well across temporal versions model. Our comparative analysis reveals dual-edged progression GPT’s making, wherein advances accuracy for problems with well-defined mathematical solutions while simultaneously displaying increased preference-based problems. Managerial implications: First, our results highlight managers will obtain greatest benefits deploying workflows leveraging established formulas. Second, displayed high response standard, inventory, non-inventory operational provides optimism offer reliable support even when details problem change. Third, although selecting models, like GPT-4, represents trade-off cost performance, suggest should invest higher-performing particularly solving objective solutions. Funding: This work was supported by Social Sciences Humanities Research Council Canada [Grant SSHRC 430-2019-00505]. The authors gratefully acknowledge Smith School Business at Queen’s University providing funding Y. Chen’s postdoctoral appointment. Supplemental Material: online appendix available https://doi.org/10.1287/msom.2023.0279 .
Язык: Английский
Процитировано
0
Language and Linguistics Compass, Год журнала: 2025, Номер 19(2)
Опубликована: Фев. 3, 2025
ABSTRACT Large Language Models (LLMs) have dramatically transformed the AI landscape. They can produce remarkable fluent text and exhibit a range of natural language understanding generation capabilities. This article explores how LLMs might be used for sociolinguistic research and, conversely, sociolinguistics contribute to development LLMs. It argues that both areas will benefit from thoughtful, engaging collaboration. Sociolinguists are not merely end users LLMs; they crucial role play in
Язык: Английский
Процитировано
0
Information Processing & Management, Год журнала: 2025, Номер 62(4), С. 104090 - 104090
Опубликована: Фев. 22, 2025
Язык: Английский
Процитировано
0
AI & Society, Год журнала: 2025, Номер unknown
Опубликована: Март 12, 2025
Язык: Английский
Процитировано
0
Information Processing & Management, Год журнала: 2025, Номер 62(4), С. 104099 - 104099
Опубликована: Март 14, 2025
Язык: Английский
Процитировано
0
Research on Social Work Practice, Год журнала: 2025, Номер unknown
Опубликована: Март 21, 2025
Purpose: While social work case management faces ongoing challenges with practice inefficiency, the emergence of artificial intelligence (AI) presents an innovative solution. This systematic review examines how AI is applied in management. Method: A comprehensive search was conducted across databases for studies published after 2000. Empirical on AI-assisted were included review. Results : From 11,022 identified studies, eight met inclusion criteria and reviewed. The results indicated that most commonly used techniques machine learning natural language processing. They utilized decision-making procedures, client identification, intervention classification, risk prevention, service monitoring. Seven demonstrated effective outcomes. Discussion Though applications remain early development stages, this reveals growing interest promising potential benefits. These findings contribute to advancing a global scale.
Язык: Английский
Процитировано
0
Frontiers of digital education., Год журнала: 2025, Номер 2(1)
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0