Using large language models to generate silicon samples in consumer and marketing research: Challenges, opportunities, and guidelines

M Sarstedt, SJ Adler, L Rau… - Psychology & …, 2024 - Wiley Online Library
Should consumer researchers employ silicon samples and artificially generated data based
on large language models, such as GPT, to mimic human respondents' behavior? In this …

[PDF][PDF] Machine psychology: Investigating emergent capabilities and behavior in large language models using psychological methods

T Hagendorff - arXiv preprint arXiv:2303.13988, 2023 - cybershafarat.com
Large language models (LLMs) are currently at the forefront of intertwining AI systems with
human communication and everyday life. Due to rapid technological advances and their …

Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT

T Hagendorff, S Fabi, M Kosinski - Nature Computational Science, 2023 - nature.com
We design a battery of semantic illusions and cognitive reflection tests, aimed to elicit
intuitive yet erroneous responses. We administer these tasks, traditionally used to study …

The emergence of economic rationality of GPT

Y Chen, TX Liu, Y Shan… - Proceedings of the …, 2023 - National Acad Sciences
As large language models (LLMs) like GPT become increasingly prevalent, it is essential
that we assess their capabilities beyond language processing. This paper examines the …

[HTML][HTML] GPT and CLT: The impact of ChatGPT's level of abstraction on consumer recommendations

SN Kirshner - Journal of Retailing and Consumer Services, 2024 - Elsevier
This study explores how ChatGPT interprets information through the lens of Construal Level
Theory (CLT). The findings show that ChatGPT exhibits an abstraction bias, generating …

[HTML][HTML] Exploring collaborative decision-making: A quasi-experimental study of human and Generative AI interaction

X Hao, E Demir, D Eyers - Technology in Society, 2024 - Elsevier
This paper explores the effects of integrating Generative Artificial Intelligence (GAI) into
decision-making processes within organizations, employing a quasi-experimental pretest …

Mapping the individual, social and biospheric impacts of Foundation Models

A Domínguez Hernández, S Krishna… - The 2024 ACM …, 2024 - dl.acm.org
Responding to the rapid roll-out and large-scale commercialization of foundation models,
large language models, and generative AI, an emerging body of work is shedding light on …

Conversational and generative artificial intelligence and human–chatbot interaction in education and research

IJ Akpan, YM Kobara, J Owolabi… - International …, 2024 - Wiley Online Library
Artificial intelligence (AI) as a disruptive technology is not new. However, its recent evolution,
engineered by technological transformation, big data analytics, and quantum computing …

Human-Like Intuitive Behavior and Reasoning Biases Emerged in Language Models--and Disappeared in GPT-4

T Hagendorff, S Fabi - arXiv preprint arXiv:2306.07622, 2023 - arxiv.org
Large language models (LLMs) are currently at the forefront of intertwining AI systems with
human communication and everyday life. Therefore, it is of great importance to evaluate …

Roles of AI: Financing selection for regretful SMEs in e-commerce supply chains

X Yao, X Li, SK Mangla, M Song - Transportation Research Part E: Logistics …, 2024 - Elsevier
Businesses are rapidly incorporating artificial intelligence (AI) into operations, particularly to
manage regret bias. Based on a game with three financing options (bank financing …