The effects of artificial intelligence applications in educational settings: Challenges and strategies

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 199, P. 123076 - 123076

Published: Dec. 14, 2023

With the continuous intervention of AI tools in education sector, new research is required to evaluate viability and feasibility extant platforms inform various pedagogical methods instruction. The current manuscript explores cumulative published literature date order key challenges that influence implications adopting models Education Sector. researchers' present works both favour against AI-based applications within Academic milieu. A total 69 articles from a 618-article population was selected diverse academic journals between 2018 2023. After careful review articles, presents classification structure based on five distinct dimensions: user, operational, environmental, technological, ethical challenges. recommends use ChatGPT as complementary teaching-learning aid including need afford customized optimized versions tool for teaching fraternity. study addresses an important knowledge gap how enhance educational settings. For instance, discusses interalia range AI-related effects learning creative prompts, training datasets genres, incorporation human input data confidentiality elimination bias. concludes by recommending strategic solutions emerging identified while summarizing ways encourage wider adoption other sector. insights presented this can act reference policymakers, teachers, technology experts stakeholders, facilitate means sector more generally. Moreover, provides foundation future research.

Language: Английский

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Exploring the Challenges of Artificial Intelligence in Data Integrity and its Influence on Social Dynamics

Asian Journal of Advanced Research and Reports, Journal Year: 2024, Volume and Issue: 18(2), P. 1 - 23

Published: Jan. 13, 2024

This study examines the ethical challenges and regulatory dynamics of Artificial Intelligence (AI) in relation to data integrity its influence on social dynamics. Employing a cross-sectional survey approach, primary was collected from 650 AI practitioners across various sectors, encompassing developers, scientists, ethicists, policymakers. The investigated correlations between compliance, awareness, professional training, experience practice with effectiveness implementation integrity. findings revealed strong positive correlation higher levels compliance perceived implementation, as well ethics awareness assurance. Moreover, significant relationship observed training impact However, field, while positively correlated, showed weaker link integrity, indicating that alone is insufficient for ensuring effective practices. highlights importance considerations, frameworks, shaping development societal implications. need dynamic, adaptable, inclusive frameworks can align practices values norms emphasized. Future research directions include exploring regulation diverse cultural contexts emerging technologies like quantum computing ethics.

Language: Английский

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The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda

International Journal of Information Management, Journal Year: 2024, Volume and Issue: 79, P. 102759 - 102759

Published: Feb. 8, 2024

Language: Английский

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ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management

International Journal of Production Research, Journal Year: 2023, Volume and Issue: 62(16), P. 5676 - 5696

Published: Dec. 20, 2023

ChatGPT and generative artificial intelligence (Gen-AI) are transforming firms supply chains. However, the empirical literature reporting benefits, challenges, outlook of these nascent technologies in operations chain management (OSCM) is limited. This study surveys current projects perceptions US (n = 119) UK 181) We found that range from proof-of-concept to full implementation, with a main focus on operational gains, such as improved customer satisfaction, cost minimisation, process efficiencies. The challenges concern data, technological organisational issues. Expected benefits dominated by savings enhanced experience, but also include increased automation sustainability. Industries were cluster around six groups according perceived implementation challenges. Our findings contribute emerging Gen-AI use OSCM, practice mapping outlook, maturity level

Language: Английский

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Optimizing renewable energy systems through artificial intelligence: Review and future prospects

Energy & Environment, Journal Year: 2024, Volume and Issue: 35(7), P. 3833 - 3879

Published: May 22, 2024

The global transition toward sustainable energy sources has prompted a surge in the integration of renewable systems (RES) into existing power grids. To improve efficiency, reliability, and economic viability these systems, synergistic application artificial intelligence (AI) methods emerged as promising avenue. This study presents comprehensive review current state research at intersection AI, highlighting key methodologies, challenges, achievements. It covers spectrum AI utilizations optimizing different facets RES, including resource assessment, forecasting, system monitoring, control strategies, grid integration. Machine learning algorithms, neural networks, optimization techniques are explored for their role complex data sets, enhancing predictive capabilities, dynamically adapting RES. Furthermore, discusses challenges faced implementation such variability, model interpretability, real-time adaptability. potential benefits overcoming include increased yield, reduced operational costs, improved stability. concludes with an exploration prospects emerging trends field. Anticipated advancements explainable reinforcement learning, edge computing, discussed context impact on Additionally, paper envisions AI-driven solutions smart grids, decentralized development autonomous management systems. investigation provides important insights landscape applications

Language: Английский

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ELECTRICAL ENGINEERING IN RENEWABLE ENERGY SYSTEMS: A REVIEW OF DESIGN AND INTEGRATION CHALLENGES

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(1), P. 231 - 244

Published: Jan. 24, 2024

As the global pursuit of sustainable energy intensifies, integration renewable sources into existing power systems has become a critical focal point for electrical engineers. This review explores challenges and advancements in field Electrical Engineering concerning design systems. The transition from traditional fossil fuels to sources, such as solar, wind, hydroelectric power, necessitates comprehensive understanding intricate engineering aspects involved. first section delves faced by engineers when developing efficient reliable encompasses optimization generation intermittent enhancement conversion technologies, development storage solutions mitigate inherent variability renewables. Cutting-edge methodologies innovative materials are discussed highlight ongoing efforts improve performance reliability second focuses on encountered during incorporation grids. Grid stability, quality, management decentralized pose significant hurdles. addressing these through implementation advanced control systems, smart grid strategies. also role potential emerging technologies like microgrids facilitating seamless integration. Furthermore, examines interdisciplinary nature context energy, emphasizing collaboration between engineers, environmental scientists, policymakers. synergy disciplines is crucial holistic that address not only technical but regulatory considerations. provides overview realm By overcoming challenges, community can accelerate towards resilient future. Keywords: Renewable Energy Integration, Challenges, Electrical, Engineering, Review.

Language: Английский

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LEVERAGING ARTIFICIAL INTELLIGENCE FOR ENHANCED SUPPLY CHAIN OPTIMIZATION: A COMPREHENSIVE REVIEW OF CURRENT PRACTICES AND FUTURE POTENTIALS

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(3), P. 707 - 721

Published: March 16, 2024

The integration of artificial intelligence (AI) technologies into supply chain management has emerged as a crucial avenue for enhancing efficiency, agility, and responsiveness in modern business operations. This comprehensive review synthesizes current practices future potentials leveraging AI optimization. Beginning with an overview traditional challenges, the elucidates how solutions address these complexities by enabling predictive analytics, real-time visibility, intelligent decision-making. delves diverse applications across different stages chain, including demand forecasting, inventory management, logistics optimization, supplier relationship management. Examples AI-driven such machine learning, natural language processing, robotic process automation are analyzed their role revolutionizing Furthermore, highlights transformative impact on resilience, emphasizing its ability to mitigate disruptions, adapt dynamic market conditions, optimize resource allocation. also addresses critical considerations data privacy, ethical implications, organizational readiness adoption within contexts. Lastly, discusses research directions potential advancements AI-enabled envisioning autonomous chains characterized self-learning systems, collaborative ecosystems, enhanced sustainability practices. In conclusion, this underscores pivotal driving continuous innovation competitive advantage networks, while importance strategic planning responsible implementation harness full potential. Keywords: AI, Supply Chain, Optimization, Practices, Review.

Language: Английский

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AI and ethics in business: A comprehensive review of responsible AI practices and corporate responsibility

International Journal of Science and Research Archive, Journal Year: 2024, Volume and Issue: 11(1), P. 1433 - 1443

Published: Feb. 9, 2024

As artificial intelligence (AI) continues to revolutionize business landscapes, the ethical implications of its deployment have garnered significant attention. This paper presents a comprehensive review intersection between AI and ethics in context corporate responsibility. The integration into processes necessitates thorough understanding responsible practices ensure that technological advancements align with standards societal values. first dimension explored this is critical importance transparency algorithms decision-making processes. Businesses adopting technologies must prioritize build trust among stakeholders, ensuring are understandable accountable. Ethical considerations also extend issues bias fairness, prompting need for diverse inclusive datasets prevent discriminatory outcomes. Corporate responsibility realm extends beyond technical aspects, encompassing broader socio-economic impact implementation. highlights significance considering effects on employment, inequality, accessibility. urged adopt guidelines well-being employees society at large, mitigating potential negative consequences employment dynamics social structures. Furthermore, delves surrounding data privacy security, emphasizing handling practices. businesses accumulate vast amounts data, it becomes imperative protection individuals' rights, reinforcing foundation applications. underscores integrate within framework By prioritizing transparency, practices, organizations can navigate complex terrain implementation while alignment values standards. synthesis essential fostering sustainable future.

Language: Английский

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Global data privacy laws: A critical review of technology's impact on user rights

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(2), P. 1058 - 1070

Published: Feb. 17, 2024

In the rapidly evolving landscape of technology, intersection with data privacy laws has become a focal point for scholars, policymakers, and practitioners alike. This paper provides comprehensive critical examination global in light profound impact technology on user rights. As digital era progresses, balance between technological innovation protection individual rights increasingly complex. The analysis encompasses wide range frameworks, including General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), other relevant regional legislations. explores challenges opportunities presented by emerging technologies, such as artificial intelligence, machine learning, big analytics, shaping protection. Furthermore, study evaluates effectiveness enforcement mechanisms existing addressing ethical implications particularly context consent, breaches, algorithmic decision-making. Special attention is given to nature surveillance, biometric processing, cross-border transfers. order foster understanding, also reviews consent age. It critically examines adequacy current legal frameworks posed technology-driven intrusions into privacy, considering issues transparency, accountability, empowerment. By providing nuanced interplay advancements, this aims contribute ongoing discourse need adaptive robust frameworks. calls proactive approach address landscape, advocating harmonized globally inclusive regulatory environment that safeguards without stifling innovation.

Language: Английский

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Leveraging artificial intelligence for enhanced supply chain optimization

Open Access Research Journal of Multidisciplinary Studies, Journal Year: 2024, Volume and Issue: 7(2), P. 001 - 015

Published: April 6, 2024

This study provides a comprehensive review of the integration Artificial Intelligence (AI) into Supply Chain Management (SCM), focusing on its impact operational efficiency, strategic innovation, and sustainability. Employing systematic literature content analysis methodology, research synthesizes findings from peer-reviewed articles conference papers published between 2013 2023. The identifies key advancements in AI technologies, such as machine learning, natural language processing, robotics, their applications across various supply chain processes including demand forecasting, inventory management, logistics optimization. Key reveal that significantly enhances efficiency by improving decision-making, reducing costs, optimizing resource allocation. However, challenges data privacy concerns, ethical considerations, need for skilled personnel emerge critical factors influencing adoption SCM. future outlook AI-enhanced chains is promising, with potential further innovation resilience, albeit contingent upon addressing existing challenges. concludes recommendations practitioners policymakers, emphasizing importance fostering culture developing digital competencies, creating supportive regulatory frameworks integration. Directions include exploring long-term impacts sustainability, implications autonomous systems, interplay emerging technologies. contributes to academic discourse SCM, offering insights enhancing operations age.

Language: Английский

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