Progresivitas Kecerdasan Buatan dalam Perspektif Epistemologi DOI Open Access

Mellyzar Mellyzar,

Nahadi Nahadi,

Desi Aryanti Nabuasa

et al.

Jurnal Filsafat Indonesia, Journal Year: 2024, Volume and Issue: 7(3), P. 540 - 550

Published: Sept. 30, 2024

Kecerdasan buatan atau Artificial Intelligence (AI) berkembang dengan pesat serta peningkatan ketergantungan pada teknologi AI ini membawa sejumlah keuntungan, seperti efisiensi, personalisasi yang lebih baik, dan pengambilan keputusan pintar. Tetapi, semakin besar juga menimbulkan kekhawatiran terhadap landasan epistemologis AI. Tujuan penelitian mengkaji secara epistemologi pengembangan metode kualitatif menggunakan pendekatan studi literatur. adalah kombinasi ilmu teknologi. Sumber-sumber pengetahuan klasik pengalaman indrawi, rasionalitas, kesaksian tetap menjadi penting dalam upaya manusia untuk memahami realitas, meskipun kecerdasan menawarkan alat canggih menganalisis data membuat prediksi. Pengetahuan dihasilkan oleh bersifat kompleks beragam tergantung konteks jenis sistem digunakan. Algoritma terkadang "kotak hitam" membuatnya sulit bagaimana mencapai kesimpulan tertentu, pertanyaan tentang validitas keandalan pengetahuannya. Oleh karena itu, cara kerja AI, mengevaluasi sumber, membandingkannya sumber lainnya, akal sehat saat

Machine learning-based classification of quality grades for concrete vibration behaviour DOI
Shuai Fan, Tao He, Weihao Li

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 167, P. 105694 - 105694

Published: Aug. 19, 2024

Language: Английский

Citations

29
AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling DOI
Mayur B. Kale, Nitu L. Wankhede,

Rupali S. Pawar

et al.

Ageing Research Reviews, Journal Year: 2024, Volume and Issue: unknown, P. 102497 - 102497

Published: Sept. 1, 2024

Language: Английский

Citations

18
Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions DOI Creative Commons
Tuan D. Pham, Muy‐Teck Teh,

Domniki Chatzopoulou

et al.

Current Oncology, Journal Year: 2024, Volume and Issue: 31(9), P. 5255 - 5290

Published: Sept. 6, 2024

Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing innovative tools that enhance diagnostic accuracy personalize treatment strategies. This review highlights the advancements in AI technologies, including deep learning natural language processing, their applications HNC. The integration of with imaging techniques, genomics, electronic health records explored, emphasizing its role early detection, biomarker discovery, planning. Despite noticeable progress, challenges such as data quality, algorithmic bias, need for interdisciplinary collaboration remain. Emerging innovations like explainable AI, AI-powered robotics, real-time monitoring systems are poised to further advance field. Addressing these fostering among experts, clinicians, researchers crucial developing equitable effective applications. future HNC holds significant promise, offering potential breakthroughs diagnostics, personalized therapies, improved patient outcomes.

Language: Английский

Citations

7
Adaptive Real-Time Translation Assistance Through Eye-Tracking DOI Creative Commons

Dimosthenis Minas,

Eleanna Theodosiou,

Konstantinos Roumpas

et al.

AI, Journal Year: 2025, Volume and Issue: 6(1), P. 5 - 5

Published: Jan. 2, 2025

This study introduces the Eye-tracking Translation Software (ETS), a system that leverages eye-tracking data and real-time translation to enhance reading flow for non-native language users in complex, technical texts. By measuring fixation duration, we can detect moments of cognitive load, ETS selectively provides translations, maintaining engagement without undermining learning. The key technological components include desktop eye-tracker integrated with custom Python-based application. Through user-centered design, dynamically adapts individual needs, reducing strain by offering word-level translations when needed. A involving 53 participants assessed ETS’s impact on speed, user experience, findings indicating improved comprehension efficiency. Results demonstrated gaze-based adaptations significantly their experience reduced load. Participants positively rated usability were noted through preferences customization, such as pop-up placement sentence-level translations. Future work will integrate AI-driven adaptations, allowing adjust based proficiency behavior. contributes growing evidence eye-tracking’s potential educational professional applications, flexible, personalized approach assistance balances exposure support.

Language: Английский

Citations

0
Artificial Intelligence (AI) and the Future of Marketing Trends DOI

Ajay Sharma,

Prashant Sharma,

Ripudaman Gaur

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 23 - 46

Published: Feb. 28, 2025

AI in customer engagement chatbots and voice assistants are AI-driven tools that improve give businesses the ability to provide individualized experiences by conducting sentiment analysis. Nonetheless, issues like data privacy concerns, algorithmic bias, ethical challenges remain, which still need proper regulations drafting more transparency. Even with these challenges, has vast potential, including sustainable marketing, omni-channel strategies, AI-generated content. The future of marketing powered lies around integrating technology emotional intelligence thereby making strategy centric towards consumer leading a trust factor driving brand loyalty. Businesses adopting AI-powered solutions will rise above all competition growing digital world. Tackling head-on be critical unleashing AI's full potential for transformation.

Language: Английский

Citations

0
User Acceptance of Automatic Speech Recognition in University Oral English Instruction: An Analysis from the Perspective of Learners’ Learning Styles DOI Creative Commons
Yuan Fan

Journal of Social Science and Humanities, Journal Year: 2025, Volume and Issue: 7(3), P. 70 - 76

Published: March 26, 2025

Situated in an era when artificial intelligence has been applied across a wide range of fields, the domain foreign language education also gradually integrated new technologies. One representative technology this field is Automatic Speech Recognition (ASR). The present study, based on Unified Theory Acceptance and Use Technology (UTAUT) model, designs user acceptance questionnaire for ASR aims to explore impact learning styles students’ levels. results demonstrate that visual, introverted, leveler deductive are positively correlated with ASR; kinesthetic sharpener negatively linked acceptance; while auditory extraverted do not have significant ASR. study provide important theoretical foundations practical guidance application education, particularly oral English instruction.

Language: Английский

Citations

0
AI in public administration-transformative opportunities for climate resilience and sustainable development DOI Creative Commons
María E. Raygoza-L., Jesús Heriberto Orduño-Osuna, Gabriel Trujillo-Hernández

et al.

Revista de Ciencias Tecnológicas, Journal Year: 2025, Volume and Issue: 8(2), P. 1 - 21

Published: April 3, 2025

The accelerated growth in demands for natural resources such as water and energy has generated a potential crisis, while the requirements have been hastily driven by development of emerging technologies that spanned various sectors, so intersection these technologies, Artificial Intelligence (AI), sustainability, governance public policies, offers transformative opportunities to combat climate change promote sustainable development. This study explores integration AI administration resilience, equity innovation, highlights applications resource management, disaster prediction, renewable optimization planning. sustainable, highlighting priority role ethical frameworks public-private collaborations ensure equitable transparent deployment AI. Challenges data accessibility, allocation adjacent regulatory balance are analyzed with strategies overcome them, including capacity infrastructure investment. innovative findings suggest tool efficiently managed action helps address environmental challenges, key elements through requires collaborative between stakeholders, those across integrating principles into management policies. integrated approach positions fundamental more future.

Language: Английский

Citations

0
Shaping the Future of Organizational Behaviour Research: Bridging Theoretical Foundations with Emerging Challenges DOI Creative Commons
Majdi Anwar Quttainah

FIIB Business Review, Journal Year: 2025, Volume and Issue: 14(2), P. 123 - 127

Published: Feb. 13, 2025

Language: Английский

Citations

0
Establishing Key Performance Indicators for Human-Generative AI Collaboration DOI
Maryam AbuAlfateh, Mazen Khalil Ali, Mourad Messaadia

et al.

Studies in big data, Journal Year: 2025, Volume and Issue: unknown, P. 485 - 494

Published: Jan. 1, 2025

Language: Английский

Citations

0
Facilitators and barriers to AI adoption in nursing practice: a qualitative study of registered nurses' perspectives DOI Creative Commons
Osama Mohamed Elsayed Ramadan, Majed Mowanes Alruwaili, Abeer Nuwayfi Alruwaili

et al.

BMC Nursing, Journal Year: 2024, Volume and Issue: 23(1)

Published: Dec. 18, 2024

Integrating Artificial Intelligence (AI) in nursing practice is revolutionising healthcare by enhancing clinical decision-making and patient care. However, the adoption of AI registered nurses, especially varied settings such as Saudi Arabia, remains underexplored. Understanding facilitators barriers from perspective frontline nurses crucial for successful implementation. This study aimed to explore nurses' perspectives on Arabia propose an extended Technology Acceptance Model Nursing (TAM-AIN). A qualitative utilising focus group discussions was conducted with 48 four major facilities Al-Kharj, Arabia. Thematic analysis, guided framework, employed analyse data. Key included perceived benefits care (85%), strong organisational support (70%), comprehensive training programs (75%). Primary involved technical challenges (60%), ethical concerns regarding privacy (55%), fears job displacement (45%). These findings led development TAM-AIN, model that incorporates additional constructs alignment, readiness, threats professional autonomy. requires a holistic approach addresses technical, educational, ethical, challenges. The proposed TAM-AIN offers framework optimising integration into practice, emphasising importance nurse-centred implementation strategies. provides institutions policymakers robust tool facilitate enhance outcomes.

Language: Английский

Citations

3