Economic Policy, Год журнала: 2024, Номер unknown
Опубликована: Дек. 2, 2024
Summary We examine the link between labour market developments and new technologies such as artificial intelligence (AI) software in 16 European countries over period 2011–9. Using data for occupations at three-digit level, we find that on average employment shares have increased more exposed to AI. This is particularly case with a relatively higher proportion of younger skilled workers. While there exists heterogeneity across countries, only very few show decline AI-enabled automation. Country this result seems be linked pace technology diffusion education, but also level product regulation (competition) protection laws. In contrast findings employment, little evidence relationship relative wages potential exposures technologies.
Язык: Английский
Процитировано
13A scoping review of ChatGPT research in accounting and finance
International Journal of Accounting Information Systems, Год журнала: 2024, Номер 55, С. 100715 - 100715
Опубликована: Окт. 7, 2024
Язык: Английский
Процитировано
10The artificial intelligence patent dataset (AIPD) 2023 update
The Journal of Technology Transfer, Год журнала: 2025, Номер unknown
Опубликована: Фев. 22, 2025
Процитировано
1Economic Growth under Transformative AI
Опубликована: Окт. 1, 2023
Industrialized countries have long seen relatively stable growth in output per capita and a labor share.AI may be transformative, the sense that it break one or both of these stylized facts.This review outlines ways this happen by placing several strands literature on AI within common framework.We first evaluate models which increases production, for example via capital's substitutability task automation, capturing notion will let capital "self-replicate".This typically speeds up lowers share.We then consider knowledge "self-improve", speeding further.Taken as whole, suggests sufficiently advanced is likely to deliver effects.
Язык: Английский
Процитировано
18A Scoping Review of ChatGPT Research in Accounting and Finance
SSRN Electronic Journal, Год журнала: 2024, Номер unknown
Опубликована: Янв. 1, 2024
This paper provides a review of recent publications and working papers on ChatGPT related Large Language Models (LLMs) in accounting finance. The aim is to understand the current state research these two areas identify potential opportunities for future inquiry. We three common themes from earlier studies. first theme focuses applications LLMs various fields second utilizes as new tool by leveraging their capabilities such classification, summarization, text generation. third investigates implications LLM adoption finance professionals, well organizations sectors. While studies provide valuable insights, they leave many important questions unanswered or partially addressed. propose venues further exploration technical guidance researchers seeking employ research.
Язык: Английский
Процитировано
8The Impact of Generative Artificial Intelligence on Socioeconomic Inequalities and Policy Making
SSRN Electronic Journal, Год журнала: 2024, Номер unknown
Опубликована: Янв. 1, 2024
Generative artificial intelligence, including chatbots like ChatGPT, has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of probable impacts generative AI on four critical domains: work, education, health, information. Our goal is warn about how could worsen inequalities while illuminating directions for using resolve pervasive social problems. in workplace can boost productivity create new jobs, but benefits will likely be distributed unevenly. it offers personalized learning may widen digital divide. healthcare, improves diagnostics accessibility deepen pre-existing For information, democratizes content creation access also dramatically expands production proliferation misinformation. Each section covers specific topic, evaluates research, identifies gaps, recommends research directions. We conclude with highlighting role policymaking maximize AI's reduce mitigating its harmful effects. discuss strengths weaknesses policy frameworks European Union, United States, Kingdom, observing that each fails fully confront challenges have identified. contend these policies should promote shared prosperity through advancement AI. suggest several concrete encourage further debate. This article emphasizes need collaborations understand address complex
Язык: Английский
Процитировано
7The impact of generative artificial intelligence on socioeconomic inequalities and policy making
Опубликована: Дек. 16, 2023
Generative artificial intelligence has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of impacts generative AI on (mis)information three information-intensive domains: work, education, healthcare. Our goal is highlight how could worsen inequalities while illuminating may help mitigate pervasive social problems. information domain, can democratize content creation access, but dramatically expand production proliferation misinformation. workplace, it boost productivity create new jobs, benefits will likely be distributed unevenly. offers personalized learning, widen digital divide. healthcare, might improve diagnostics accessibility, deepen pre-existing each section cover specific topic, evaluate research, identify critical gaps, recommend research directions, including explicit trade-offs that complicate derivation priori hypotheses. We conclude with highlighting role policymaking maximize AI’s reduce mitigating its harmful effects. discuss strengths weaknesses policy frameworks in European Union, United States, Kingdom, observing fails fully confront challenges have identified. propose several concrete policies promote shared prosperity through advancement AI. This article emphasizes need for collaborations understand address complex
Язык: Английский
Процитировано
15Do people trust humans more than ChatGPT?
Journal of Behavioral and Experimental Economics, Год журнала: 2024, Номер 112, С. 102239 - 102239
Опубликована: Май 31, 2024
Язык: Английский
Процитировано
6Who cares about ESG?
Journal of Climate Finance, Год журнала: 2024, Номер 8, С. 100045 - 100045
Опубликована: Июнь 15, 2024
Язык: Английский
Процитировано
5The future of work of academics in the age of Artificial Intelligence: State-of-the-art and a research roadmap
Futures, Год журнала: 2024, Номер 163, С. 103453 - 103453
Опубликована: Авг. 3, 2024
The Future of Work (FoW) has garnered significant attention among scholars and practitioners, with the advent Artificial Intelligence (AI) playing an important role in shaping this discourse. Despite common perception that intelligent machines pose a threat to workers routine roles, AI technologies are increasingly being utilized for advanced tasks carried out by knowledge workers. Drawing on state-of-the-art research real-life examples we develop integrated framework explore future academic work. Our focus is academics, essential yet under-researched group workers, discuss their work relation across space, time, task dimensions. analysis reveals usage can have implications research, teaching, service activities academics thereby also creation, acquisition, dissemination, application knowledge. Based our scenarios propose roadmap.
Язык: Английский
Процитировано
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