Artificial intelligence misconduct and ESG risk ratings

Review of Managerial Science, Год журнала: 2025, Номер unknown

Опубликована: Фев. 28, 2025

Язык: Английский

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Easy to read, easier to write: the politics of AI in consultancy trade research

Cogent Social Sciences, Год журнала: 2025, Номер 11(1)

Опубликована: Март 4, 2025

Язык: Английский

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What Ethical Issues do ChatGPT Face: A Bibliometrics Based Study

Опубликована: Март 17, 2025

ChatGPT represents a groundbreaking AI application that has garnered significant attention since its inception. However, despite promising potential, ethical implications have sparked considerable debate. This study aims to examine the key concerns surrounding governance of by conducting bibliometric analysis and cluster-based content relevant scientific literature. The identifies influential authors, countries, pivotal publications, revealing three primary categories issues associated with ChatGPT: human-related ethics, academic integrity technical literacy, artificial intelligence (AI) technology ethics derived concerns. Additionally, further refines these synthesizing frequently occurring keywords. Building on this framework, provides comprehensive discussion major challenges faced ChatGPT, as well outlining future research priorities. Furthermore, investigates knowledge base underlying ChatGPT's governance, exploring high-citation high-link-strength literature through co-citation analysis, thereby mapping landscape highlighting areas growing scholarly interest. offers valuable insights for policymakers, researchers, practitioners, emphasizing need more stringent policies, guidelines, robust design in development similar technologies.

Язык: Английский

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Generative artificial intelligence in tourism management: An integrative review and roadmap for future research

Tourism Management, Год журнала: 2025, Номер 110, С. 105179 - 105179

Опубликована: Март 31, 2025

Язык: Английский

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Characterizing generative artificial intelligence applications: Text-mining-enabled technology roadmapping

Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(3), С. 100531 - 100531

Опубликована: Июль 1, 2024

This study aims to identify generative AI (GenAI) applications and develop a roadmap for the near, mid, far future. Structural topic modeling (STM) is used discover latent semantic patterns key application areas from text corpus comprising 2,398 patents published between 2017 2023. The identifies six topics of GenAI application, including object detection identification; medical applications; intelligent conversational agents; image generation processing; financial information security cyber-physical systems. Emergent terms are listed each topic, inter-topic correlations explored understand thematic structures summarize relationships among areas. Finally, technology developed identified area provides valuable insights into evolving landscape helps practitioners make strategic business decisions based on roadmap.

Язык: Английский

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Trust in the machine: How contextual factors and personality traits shape algorithm aversion and collaboration

Computers in Human Behavior Reports, Год журнала: 2024, Номер unknown, С. 100578 - 100578

Опубликована: Дек. 1, 2024

Язык: Английский

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