Digital Skills: Social Disparities and the Impact of Early Mentoring DOI
Fabian Kosse,

Tim Leffler,

Arna Woemmel

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

The technology acceptance model and adopter type analysis in the context of artificial intelligence DOI Creative Commons
Fabio Ibrahim, Johann‐Christoph Münscher, Monika Daseking

и другие.

Frontiers in Artificial Intelligence, Год журнала: 2025, Номер 7

Опубликована: Янв. 16, 2025

Artificial Intelligence (AI) is a transformative technology impacting various sectors of society and the economy. Understanding factors influencing AI adoption critical for both research practice. This study focuses on two key objectives: (1) validating an extended version Technology Acceptance Model (TAM) in context by integrating Big Five personality traits mindset, (2) conducting exploratory k-prototype analysis to classify adopters based demographics, AI-related attitudes, usage patterns. A sample N = 1,007 individuals (60% female; M 30.92; SD 8.63 years) was collected. Psychometric data were obtained using validated scales TAM constructs, traits, mindset. Regression used validate TAM, clustering algorithm applied participants into adopter categories. The psychometric confirmed validity TAM. Perceived usefulness strongest predictor attitudes towards (β 0.34, p < 0.001), followed mindset scale growth 0.28, 0.001). Additionally, openness positively associated with perceived ease use 0.15, revealed four distinct clusters, consistent diffusion innovations model: early (n 218), majority 331), late 293), laggards 165). findings highlight importance shaping toward adoption. results provide nuanced understanding types, aligning established innovation theories. Implications deployment strategies, policy-making, future directions are discussed.

Язык: Английский

Процитировано

2

The Impact of Generative Artificial Intelligence on Socioeconomic Inequalities and Policy Making DOI
Valerio Capraro, Austin Lentsch,

Daron Acemoğlu

и другие.

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

5

Are AI jobs driving up demand for STEM education? Yes, but not by women DOI

Emmanouil Chatzikonstantinou,

Alexis Antoniades,

Olesia Savka

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Large Language Models, Small Labor Market Effects DOI

Anders Humlum,

Emilie Vestergaard

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Generative AI in Higher Education: Uncertain Students, Ambiguous Use Cases, and Mercenary Perspectives DOI Creative Commons
Brian W. Stone

Teaching of Psychology, Год журнала: 2024, Номер unknown

Опубликована: Дек. 20, 2024

Background: Students in higher education are using generative artificial intelligence (AI) despite mixed messages and contradictory policies. Objective: This study helps answer outstanding questions about many aspects of AI education: familiarity, usage, perceptions peers, ethical/social views, grading. Method: I surveyed 733 undergraduates. Results: reported levels experience with tended toward nervousness over excitement. Most professors addressing but not integrating it. While 41% students had used ways explicitly banned, more (59%) ambiguous use cases. overestimated peer cheating, this predicted their own as did general excitement AI. Meanwhile, 11% false accusations, first-generation possibly at a rate. Pragmatic views career inequality may be affecting behaviors. Men consistently involvement than women. Conclusion: Future research should focus on the hybrid collaboration humans how might leveraged to support scaffold genuine learning. Teaching Implications: will relevant future careers, increasingly want it part education. Academic integrity continuing challenge, need transparency.

Язык: Английский

Процитировано

2

The unequal adoption of ChatGPT exacerbates existing inequalities among workers DOI Creative Commons

Anders Humlum,

Emilie Vestergaard

Proceedings of the National Academy of Sciences, Год журнала: 2024, Номер 122(1)

Опубликована: Дек. 30, 2024

We study the adoption of ChatGPT, icon Generative AI, using a large-scale survey linked to comprehensive register data in Denmark. Surveying 18,000 workers from 11 exposed occupations, we document that ChatGPT is widespread, especially among younger and less-experienced workers. However, substantial inequalities have emerged. Women are 16 percentage points less likely used tool for work. Furthermore, despite its potential lift with expertise, users earned slightly more already before arrival, even given their lower tenure. Workers see productivity but often hindered by employer restrictions perceived need training.

Язык: Английский

Процитировано

2

Gender Differences in the Use of Generative Artificial Intelligence Chatbots in Higher Education: Characteristics and Consequences DOI Creative Commons
Anja Møgelvang, Camilla Bjelland, Simone Grassini

и другие.

Education Sciences, Год журнала: 2024, Номер 14(12), С. 1363 - 1363

Опубликована: Дек. 12, 2024

Student gender differences in technology acceptance and use have persisted for years, giving rise to equity concerns higher education (HE). To explore if such extend generative artificial intelligence (genAI) chatbot use, we surveyed a large Norwegian HE student sample (n = 2692) using fully mixed concurrent equal status design. Our findings show that men exhibit more frequent engagement with genAI chatbots across broader spectrum of applications. Further, demonstrate heightened interest as tools their relevance future career prospects. Women primarily utilize text-related tasks express greater regarding critical independent thinking. also stronger need learn how determine when it is wise trust chatbots. Consequences are discussed the individual, society, institutions terms social reproduction, diversity competence, equitable teaching practices.

Язык: Английский

Процитировано

0

Digital Skills: Social Disparities and the Impact of Early Mentoring DOI
Fabian Kosse,

Tim Leffler,

Arna Woemmel

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0