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Academic Articles & Research Papers
Showing 17 of 117 academic articles
Marcello Ienca • Topoi
(2023)
Abstract The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorit...
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DOI: https://doi.org/10.1007/s11245-023-09940-3
B.S. Prashanth, Manoj Kumar, Ariful Hoque, Nasser Al Muraqab et al. • International Review of Economics & Finance
(2026)
The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems b...
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Open Access (DOAJ)
DOI: 10.1016/j.iref.2026.104916
Filip Karlo Došilović, Mario Brčić, Nikica Hlupić • International Convention on Information and Communication Technology, Electronics and Microelectronics
(2018)
In the last decade, with availability of large datasets and more computing power, machine learning systems have achieved (super)human performance in a wide variety of tasks. Examples of this rapid development can be seen in image recognitio...
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DOI: https://doi.org/10.23919/mipro.2018.8400040
Iain Cockburn, Rebecca M. Henderson, Scott Stern • University of Chicago Press eBooks
(2019)
Artificial intelligence may greatly increase the efficiency of the existing economy. But it may have an even larger impact by serving as a new general-purpose “method of invention” that can reshape the nature of the innovation process and t...
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Open Access
DOI: https://doi.org/10.7208/chicago/9780226613475.003.0004
Chun Hian John Yap, Ziying Vanessa Lim • Annals, Academy of Medicine, Singapore
(2026)
Introduction: Artificial Intelligence (AI) is increasingly explored for medical education, and dermatology, with its visual diagnostic focus, holds promise for AI-enhanced learning. However, evidence on its educational effectiveness remains...
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Open Access (DOAJ)
DOI: 10.47102/annals-acadmedsg.2026346
Alex Glynn • European Science Editing
(2025)
The tendency of generative artificial intelligence (AI) to ‘hallucinate’ false information is well known; AI-generated citations to non-existent sources have penetrated the bibliographies of peer-reviewed publications. D...
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Open Access (DOAJ)
DOI: 10.3897/ese.2025.e153973
Heike Felzmann, Eduard Fosch‐Villaronga, Christoph Lutz, Aurelia Tamò‐Larrieux • Science and Engineering Ethics
(2020)
In this article, we develop the concept of Transparency by Design that serves as practical guidance in helping promote the beneficial functions of transparency while mitigating its challenges in automated-decision making (ADM) environments....
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DOI: https://doi.org/10.1007/s11948-020-00276-4
PMC: 7755865
Jennifer Viberg Johansson, Karin Dembrower, Fredrik Strand, Åsa Grauman • BMJ Open
(2024)
Background Understanding women’s perspectives can help to create an effective and acceptable artificial intelligence (AI) implementation for triaging mammograms, ensuring a high proportion of screening-detected cancer. This study aimed to e...
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Open Access (DOAJ)
DOI: 10.1136/bmjopen-2024-084014
• London Review of Education
(2025)
The rise of generative artificial intelligence tools such as ChatGPT is transforming how knowledge is produced, accessed and used across educational systems. While these technologies offer new opportunities for efficiency and scalability, t...
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Open Access (DOAJ)
DOI: 10.14324/LRE.23.1.16
Chen Xinyu, Hui Tianfang, Li Yanlin, Yang Haoyuan • ITM Web of Conferences
(2025)
As artificial intelligence (AI) is increasingly integrated into society, people are relying on it more and more, and higher requirements are put forward for the safety and ethical standards of AI. This article explores the development of ar...
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Open Access (DOAJ)
DOI: 10.1051/itmconf/20257004031
Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee • Discover Internet of Things
(2025)
Abstract Deep learning-based intrusion detection systems (DL-IDS) have proven effective in detecting cyber threats. However, their vulnerability to adversarial attacks and environmental noise, particularly in industrial settings, limits pra...
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Open Access (DOAJ)
DOI: 10.1007/s43926-025-00100-0
Zuzana Soltysova • Technologies
(2026)
Artificial intelligence (AI) is transforming organizations across all sectors, yet many AI initiatives fail despite significant technological investments. Existing research has primarily explained AI adoption through technological, organiza...
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Open Access (DOAJ)
DOI: 10.3390/technologies14100596
Iain Cockburn, Rebecca M. Henderson, Scott Stern • National Bureau of Economic Research
(2018)
Artificial intelligence may greatly increase the efficiency of the existing economy.But it may have an even larger impact by serving as a new general-purpose "method of invention" that can reshape the nature of the innovation process and th...
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public-domain
DOI: https://doi.org/10.3386/w24449
Austin M Stroud, Sarah A Minteer, Xuan Zhu, Jennifer L Ridgeway et al. • PLOS Digital Health
(2025)
As health systems incorporate artificial intelligence (AI) into various aspects of patient care, there is growing interest in understanding how to ensure transparent and trustworthy implementation. However, little attention has been given t...
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Open Access (DOAJ)
DOI: 10.1371/journal.pdig.0000826
Al Amin Biswas • Array
(2024)
Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited due to the transparency issue, which is considered ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.array.2024.100345
Stefan Larsson, Fredrik Heintz • Internet Policy Review
(2020)
Introduction: transparency in AI Transparency is indeed a multifaceted concept used by various disciplines (Margetts, 2011; Hood, 2006). Recently, it has gone through a resurgence with regards to contemporary discourses around artificial in...
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DOI: https://doi.org/10.14763/2020.2.1469
Hatice Gürdil, Hatice Özlem Anadol, Yeşim Beril Soğuksu • Ankara Üniversitesi Eğitim Bilimleri Fakültesi Dergisi
(2026)
This study investigated whether artificial intelligence (AI) systems could evaluate the content validity of B1-level English reading comprehension items in a manner comparable to human experts. A 25-item multiple-choice test was developed a...
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Open Access (DOAJ)
DOI: 10.30964/auebfd.1807153