Results 121 to 130 of about 13,047 (256)
Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?
ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro +3 more
wiley +1 more source
ABSTRACT This paper investigates the evolving landscape of research on the economics of artificial intelligence (AI). Using topic modeling on a corpus of over 4,600 academic papers, we identify the dominant themes that have shaped the literature to date and highlight areas that remain relatively underexplored. In addition, we assess the extent to which
Lucy Hampton, John Lourenze Poquiz
wiley +1 more source
The Racialisation of Rape: A Far‐Right Tool for Boundary‐Creation Across Borders
ABSTRACT Far‐right parties and movements have increasingly come to incorporate ideas of gender equality into their political agendas. While seemingly out of concern for women's rights and safety, these issues are in reality seldom more than a veil to further the stigmatisation of Muslim men.
Mathilda Åkerlund
wiley +1 more source
Personnel Psychology's 40 Questions Series: Artificial Intelligence
ABSTRACT In this article, we present a curated set of 40 questions on Artificial Intelligence (AI) to address its rapidly evolving role in Industrial/Organizational (I/O) Psychology, Human Resources (HR), and Organizational Behavior (OB) research and practice. We solicited questions from our professional networks and organized the responses into themes:
Emily D. Campion, Scott Tonidandel
wiley +1 more source
Significant clusters identified during hourly aggregations using Latent Dirichlet Allocation and their associated topics.
Tao Cheng (131540) +1 more
core +1 more source
Latent Dirichlet Allocation for Structured Insurance Data
This article explores the application of Latent Dirichlet Allocation (LDA) to structured tabular insurance data. LDA is a probabilistic topic modelling approach initially developed in Natural Language Processing (NLP) to uncover the underlying structure of (unstructured) textual data. It was designed to represent textual documents as mixture of latent (
Charlotte Jamotton, Donatien Hainaut
openaire +2 more sources
Governing Credit in the Digital Age: Public Perceptions and Engagement in China's Credit Systems
ABSTRACT There is a global trend toward embedding personal credit systems and their scoring mechanisms within broader governance infrastructures. A prominent and controversial example is China's Social Credit System (SCS), which plays a central role in the country's data‐driven financial and social governance.
Mo Chen +2 more
wiley +1 more source
Significant clusters identified during daily aggregations using Latent Dirichlet Allocation and their associated topics.
Tao Cheng (131540) +1 more
core +1 more source
ABSTRACT Diversity, equity, and inclusion frameworks developed in Western contexts often fail when applied globally, as they inadequately account for cultural variation, linguistic diversity, and colonial legacies that persist in international organizations. This article presents a mixed‐methods toolbox for developing evidence‐based DEI policy tailored
Kara C. Hoover +6 more
wiley +1 more source
Data cleaning operations performed on Tweets prior to Latent DIrichlet Allocation topic modelling
Data cleaning operations performed on Tweets prior to Latent DIrichlet Allocation topic ...
Colin Robertson (343946) +1 more
core +1 more source

