Forecasting the Future: The Interplay of Artificial Intelligence, Innovation, and Competitiveness and its Effect on the Global Economy

Asian Journal of Economics Business and Accounting, Journal Year: 2024, Volume and Issue: 24(4), P. 126 - 146

Published: Feb. 26, 2024

The study investigates the profound impact of Artificial Intelligence (AI) on various facets global economic landscape. Against a backdrop rapid technological advancements, draws context pivotal IMF report highlighting transformative potential AI. suggests that AI could modify, replace, or transform about 60% jobs in advanced economies and significant proportion emerging low-income countries, reflecting paradigm shift employment structures. core objective this is to thoroughly examine role AI-driven innovation organizational competitiveness, its community development socioeconomic dynamics, implications national policies trends. A quantitative research methodology was employed, involving structured survey targeting diverse group professionals industries. meticulously designed capture insights into participants' experiences perceptions regarding implementation impacts. total 642 valid responses from consultants, technology enthusiasts, industry experts, policymakers provided robust dataset for analyzing study's four hypotheses. findings reveal integration significantly bolsters echoing contemporary literature. Higher levels adoption communities are linked improved outcomes, albeit with risk intensifying existing inequalities. On scale, strategies focusing correlate enhanced competitiveness. Furthermore, business processes markedly influences workforce necessitating shifts skill requirements job roles. In light these findings, paper recommends strategic within businesses, equitable policy frameworks deployment, focus strategies, substantial investment training, international collaboration ethics imperative maximizingAI's benefits while mitigating risks.

Language: Английский

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Could AI Ethical Anxiety, Perceived Ethical Risks and Ethical Awareness About AI Influence University Students’ Use of Generative AI Products? An Ethical Perspective

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: March 8, 2024

The study aims to explore the factors that influence university students' behavioral intention (BI) and use behavior (UB) of generative AI products from an ethical perspective. Referring decision-making theory, research model extends UTAUT2 with three influencing factors: awareness (EA), perceived risks (PER), anxiety (AIEA). A sample 226 students was analysed using Partial Least Squares Structural Equation Modelling technique (PLS-SEM). results further validate effectiveness UTAUT2. Furthermore, performance expectancy, hedonistic motivation, price value, social all positively BI products, except for effort expectancy. Facilitating conditions habit show no significant impact on BI, but they can determine UB. extended perspective play roles as well. AIEA PER are not key determinants BI. However, directly inhibit From mediation analysis, although do have a direct UB, it inhibits UB indirectly through AIEA. Ethical Nevertheless, also increase PER. These findings help better accept ethically products.

Language: Английский

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Exploring Motivators for Trust in the Dichotomy of Human—AI Trust Dynamics

Social Sciences, Journal Year: 2024, Volume and Issue: 13(5), P. 251 - 251

Published: May 6, 2024

This study analyses the dimensions of trust in artificial intelligence (AI), focusing on why a significant portion UK population demonstrates higher level AI compared to humans. Conducted through mixed-methods approach, this gathered 894 responses, with 451 meeting criteria for analysis. It utilised combination six-step Likert-scale survey and open-ended questions explore psychological, sociocultural, technological facets trust. The analysis was underpinned by structural equation modelling (SEM) correlation techniques. results unveil strong predilection trusting AI, mainly due its perceived impartiality accuracy, which participants likened conventional computing systems. preference starkly contrasts scepticism towards human reliability, is influenced perception inherent self-interest dishonesty humans, further exacerbated general distrust media narratives. Additionally, highlights between an unwavering confidence judgment, illustrating dichotomy orientations. investigation illuminates complex dynamics era digital technology, making contribution ongoing discourse AI’s societal integration underscoring vital considerations future development policymaking.

Language: Английский

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The Role of Artificial Intelligence in the Study of the Psychology of Religion

Religions, Journal Year: 2024, Volume and Issue: 15(3), P. 290 - 290

Published: Feb. 26, 2024

The study of the psychology religion encompasses various aspects human experiences and beliefs, including influence emerging technologies such as artificial intelligence (AI). This article aims to examine impact AI on religious practices rituals, highlighting its potential reshape how individuals engage with spirituality. By exploring AI-powered applications, virtual communities, online services, we seek understand transformation traditional raise important questions about authenticity, inclusiveness, role technology in contexts. Moreover, ethical considerations challenges arising from integration into will be addressed. As researchers delve this intersection, it is crucial strike a balance between technological advancements preserving fundamental spirituality, personal growth, genuine connection. contributes existing literature by shedding light implications realm experiences, calling for further exploration dimensions unintended consequences. Ultimately, understanding prompts us reflect nature belief formation, experience itself.

Language: Английский

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Exploring student perspectives on generative artificial intelligence in higher education learning

Discover Education, Journal Year: 2024, Volume and Issue: 3(1)

Published: July 15, 2024

Abstract This study examined the perspectives of Ghanaian higher education students on use ChatGPT. The Students’ ChatGPT Experiences Scale (SCES) was developed and validated to evaluate students’ as a learning tool. A total 277 from universities colleges participated in study. Through exploratory factor analysis, three-factor structure students' (ChatGPT academic benefits, concerns, accessibility attitude towards ChatGPT) identified. confirmatory analysis carried out confirm identified factors. majority are aware recognize potential Gen AI tools like supporting their learning. However, significant number reported using mainly for non-academic purposes, citing concerns such policy violations, excessive reliance technology, lack originality assignments, security risks. Students assignments rather than class or group projects. noted that they have not received any training how safely effectively. implications practice discussed terms well-informed guidelines strategies can support teaching improve student

Language: Английский

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The Mediating Effect of AI Trust on AI Self-Efficacy and Attitude Toward AI of College Students

International Journal of Metaverse, Journal Year: 2023, Volume and Issue: 2(1), P. 1 - 10

Published: Dec. 30, 2023

This quantitative study investigated the mediating effect of AI trust on relationship between self-efficacy and attitude toward college students in Region XI, Philippines. Using adapted questionnaires, data were gathered online via Google Forms, where respondents selected using stratified random sampling. Validity reliability tests employed measurement model, descriptive statistics also used to describe constructs study, while mediation analysis standard algorithm-bootstrapping SmartPLS 4.0 was performed assess hypothesized model. The findings revealed that are valid reliable. Moreover, demonstrated moderate levels a high level self-efficacy. Finally, suggests is deemed have substantial students.

Language: Английский

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Ethical concerns in AI development: analyzing students’ perspectives on robotics and society

Journal of Information Communication and Ethics in Society, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Purpose The rapid advancement and integration of robotics artificial intelligence (AI) are transforming various sectors, presenting profound ethical, economic, legal societal challenges. This study aims to examine ethical concerns in AI development, with a specific focus on robotics, from the perspectives university students Albania. Design/methodology/approach A structured questionnaire was used collect data 233 students, focusing their experiences perceptions, preferences recommendations for advancing these technologies. Hypotheses were tested at 95% confidence interval, analyzed using JASP software version 0.18.3.0. Findings results reveal high level awareness among particularly regarding transparency, liability privacy robotics. Practical experience understanding AI’s implications significantly shape students’ attitudes, fostering support governance. Students also advocate robust regulatory measures safeguard individual rights, ensure security, promote transparency decision-making uphold privacy. Research limitations/implications focuses Albania, which may limit generalizability its findings. Future research should explore diverse populations cross-cultural contexts validate extend proposed framework. Insights this can guide policymakers technology developers designing laws, regulations practices that balance innovation public interest, trust acceptance systems. Social findings underscore importance Albania adopting harmonizing policies EU Civil Law Rules Robotics, Act Strategy, supporting aligned country’s accession objectives. Originality/value introduces Ethical Awareness-Trust Framework, novel theoretical model integrating literacy, experiential advocacy foster responsible adoption address critical gaps literature by offering actionable aligning national European embedding ethics into education.

Language: Английский

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Perceptions and Paradigms: An Analysis of AI Framing in trending Social Media News

Technology in Society, Journal Year: 2025, Volume and Issue: 81, P. 102858 - 102858

Published: Feb. 28, 2025

Language: Английский

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Artificial intelligence and sustainable development in Africa: A comprehensive review

Machine Learning with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 100591 - 100591

Published: Oct. 1, 2024

Language: Английский

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Emergence of Self-Identity in Artificial Intelligence: A Mathematical Framework and Empirical Study with Generative Large Language Models

Axioms, Journal Year: 2025, Volume and Issue: 14(1), P. 44 - 44

Published: Jan. 7, 2025

This paper introduces a mathematical framework for defining and quantifying self-identity in artificial intelligence (AI) systems, addressing critical gap the theoretical foundations of consciousness. While existing approaches to self-awareness often rely on heuristic implementations or philosophical abstractions, we present formal grounded metric space theory, measure functional analysis. Our posits that emerges from two mathematically quantifiable conditions: existence connected continuum memories C⊆M (M,dM), continuous mapping I:M→S maintains consistent self-recognition across this continuum, where (S,dS) represents possible self-identities. To validate framework, conducted empirical experiments using Llama 3.2 1B model, employing low-rank adaptation (LoRA) efficient fine-tuning. The model was trained synthetic dataset containing temporally structured memories, designed capture complexity coherent formation. evaluation metrics included quantitative measures self-awareness, response consistency, linguistic precision. experimental results demonstrate substantial improvements measurable metrics, with primary score increasing 0.276 0.801 (190.2% improvement) after In contrast earlier methods view as an emergent trait, our tangible assess self-awareness. enables creation AI systems validated features. implications study are immediately relevant fields humanoid robotics autonomous systems. Additionally, it opens up new prospects controlled adjustments contexts demand different levels personal involvement. Moreover, underpinning serves basis forthcoming investigations into AI, linking models real-world applications current technologies.

Language: Английский

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