SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown
Published: Jan. 1, 2023
We examine the potential of ChatGPT, a large language model, in predicting stock market returns using sentiment analysis news headlines. use ChatGPT to indicate whether given headline is good, bad, or irrelevant for firms' prices. then compute numerical score and document positive correlation between these "ChatGPT scores" subsequent daily returns. Further, outperforms traditional methods. Our results suggest that incorporating advanced models into investment decision-making process can yield more accurate predictions enhance performance quantitative trading strategies.
Language: Английский
Citations
232The impact of generative artificial intelligence on socioeconomic inequalities and policy making
PNAS Nexus, Journal Year: 2024, Volume and Issue: 3(6)
Published: May 31, 2024
Abstract Generative artificial intelligence (AI) 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 section 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
Language: Английский
Citations
66ChatGPT adoption and anxiety: a cross-country analysis utilising the unified theory of acceptance and use of technology (UTAUT)
Studies in Higher Education, Journal Year: 2024, Volume and Issue: 49(5), P. 831 - 846
Published: March 27, 2024
The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use language models higher education. However, little research has empirically investigated intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory Acceptance Use Technology (UTAUT) with an additional construct- anxiety, investigate university adoption two education contexts– UK Nepal. 239 226 questionnaires were deemed sufficient for data analysis Nepal UK, respectively. We utilised structural equation modelling technique test hypotheses. Our results reveal that performance expectancy, effort expectancy social influence significantly impacted both countries. anxiety's impact varied between UK. Integrating UTAUT cross-country comparative approach provides insights into how ChatGPT's reception diverges different contexts. also have implications technology companies aiming expand models' availability worldwide.
Language: Английский
Citations
44The Economic Impacts and the Regulation of AI: A Review of the Academic Literature and Policy Actions
IMF Working Paper, Journal Year: 2024, Volume and Issue: 2024(065), P. 1 - 1
Published: March 1, 2024
We review the literature on effects of Artificial Intelligence (AI) adoption and ongoing regulatory efforts concerning this technology. Economic research encompasses growth, employment, productivity, income inequality effects, while regulation covers market competition, data privacy, copyright, national security, ethics concerns, financial stability. find that: (i) theoretical agrees that AI will affect most occupations transform but empirical findings are inconclusive employment productivity effects; (ii) has focused primarily topics not explored by academic literature; (iii) across countries, regulations differ widely in scope approaches face difficult trade-offs.
Language: Английский
Citations
20Investigating influencing factors of learning satisfaction in AI ChatGPT for research: University students perspective
Heliyon, Journal Year: 2024, Volume and Issue: 10(11), P. e32220 - e32220
Published: May 31, 2024
This study investigates the determinants of ChatGPT adoption among university students and its impact on learning satisfaction. Utilizing Technology Acceptance Model (TAM) incorporating insights from interaction learning, collaborative information quality, a structural equation modeling approach was employed. research collected valuable responses 262 at King Faisal University in Saudi Arabia through use self-report questionnaires. The data's reliability validity were assessed using confirmation factor analysis, followed by path analysis to explore hypotheses proposed model. results indicate pivotal roles fostering adoption. Social played significant role, as researchers engaging conversations knowledge-sharing expressed increased comfort with ChatGPT. Information quality found substantially influence researchers' decisions continue ChatGPT, emphasizing need for ongoing improvement accuracy relevance content provided. Perceived ease perceived usefulness intermediary linking engagement User-friendly interfaces utility identified crucial factors affecting overall satisfaction levels. Notably, positively impacted motivation, indicating potential enhance student interest learning. study's findings have implications educational practitioners seeking improve implementation AI technologies students, user-friendly design, influencing concludes into complex interplay between AI-powered tools, objectives, highlighting continued comprehensively understand these dynamics.
Language: Английский
Citations
18AI and the Future of Collaborative Work: Group Ideation with an LLM in a Virtual Canvas
Published: June 22, 2024
Language: Английский
Citations
18Generative Artificial Intelligence (GenAI) in the research process – a survey of researchers’ practices and perceptions
Technology in Society, Journal Year: 2025, Volume and Issue: unknown, P. 102813 - 102813
Published: Jan. 1, 2025
Language: Английский
Citations
6Factors influencing Chinese pre-service teachers’ adoption of generative AI in teaching: an empirical study based on UTAUT2 and PLS-SEM
Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 14, 2025
Language: Английский
Citations
3Deep Learning for Economists
Journal of Economic Literature, Journal Year: 2025, Volume and Issue: 63(1), P. 5 - 58
Published: March 1, 2025
Deep learning provides powerful methods to impute structured information from large-scale, unstructured text and image datasets. For example, economists might wish detect the presence of economic activity in satellite images or measure topics entities mentioned social media, congressional record, firm filings. This review introduces deep neural networks, covering such as classifiers, regression models, generative artificial intelligence (AI), embedding models. Applications include classification, document digitization, record linkage, for data exploration massive-scale corpora. When suitable are used, models can be cheap tune scale affordably problems involving millions billions points. The is accompanied by a regularly updated companion website, EconDL ( https://econdl.github.io/ ), with user-friendly demo notebooks, software resources, knowledge base that technical details additional applications. (JEL C38, C45, C88, D83)
Language: Английский
Citations
3Generative AI in innovation and marketing processes: A roadmap of research opportunities
Journal of the Academy of Marketing Science, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 26, 2024
Abstract Nowadays, we are witnessing the exponential growth of Generative AI (GenAI), a group models designed to produce new content. This technology is poised revolutionize marketing research and practice. Since literature about GenAI still in its infancy, offer technical overview how trained they Following this, construct roadmap for future on marketing, divided into two main domains. The first domain focuses firms can harness potential throughout innovation process. We begin by discussing changes consumer behavior propose questions at level. then connect these emerging insights with corresponding firm strategies, presenting second set examines likely consequences using analyze: (1) relationship between market-based assets value, (2) skills, preferences, role processes.
Language: Английский
Citations
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