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التحديات التي تثيرها الأسلحة ذاتية التشغيل كأحد تقنيات الذكاء الاصطناعي

هاني محمد خليل إبراهيم العزازي • Al-Maǧallah Al-Qānūniyyaẗ (2024)

صاحب التطور في تكنولوجيا الذكاء الاصطناعي تطوراً مماثلاً في أساليب ووسائل القتال, فظهرت أسلحة جديدة قادرة في ذاتها على تحديد أهدافها والاشتباك معها دون حاجة إلى تدخل بشري, ولذلك أطلق عليها "نظم الأسلحة ذاتية التشغيل" Autonomous Weapons Syst...

DOAJ Open Access (DOAJ) DOI: 10.21608/jlaw.2024.354448

AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening

Rui-Fang Lu, Chao-Yin She, Dan-Ni He, Mei-Qing Cheng et al. • npj Digital Medicine (2025)

Abstract Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and the workload of radiologists. This retrospective, multicenter study assessed four artificial intelligence (AI) enhanced strategies us...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-025-01892-9

Cost-Effective Design, Content Management System Implementation and Artificial Intelligence Support of Greek Government AADE, myDATA Web Service for Generic Government Infrastructure, a Complete Analysis

George Tsamis, Georgios Evangelos, Aris Papakostas, Giannis Vassiliou et al. • Algorithms (2025)

One significant digital initiative that is changing Greece’s tax environment is the myDATA platform. The platform, which is a component of the wider digital governance agenda, provides significant added value to enterprises and the tax admi...

DOAJ Open Access (DOAJ) DOI: 10.3390/a18060339

Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks

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...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43926-025-00100-0

Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence

Shuiguang Deng, Hailiang Zhao, Weijia Jia Fang, Jianwei Yin et al. • IEEE Internet of Things Journal (2020)

Along with the rapid developments in communication technologies and the surge in the use of mobile devices, a brand-new computation paradigm, edge computing, is surging in popularity. Meanwhile, the artificial intelligence (AI) applications...

OPENALEX Open Access DOI: https://doi.org/10.1109/jiot.2020.2984887

The ethics of artificial intelligence

Nick Bostrom, Eliezer Yudkowsky • Cambridge University Press eBooks (2014)

This chapter surveys some of the ethical challenges that may arise as one can create artificial intelligences (AI) of various kinds and degrees. Some challenges of machine ethics are much like many other challenges involved in designing mac...

OPENALEX DOI: https://doi.org/10.1017/cbo9781139046855.020

Smart_Eye: A Navigation and Obstacle Detection for Visually Impaired People through Smart App

Bhasha Pydala, T. Pavan Kumar, K. Khaja Baseer • Journal of Applied Engineering and Technological Science (2023)

Vision is extremely important in our lives. The loss of sight is a serious issue for anyone. According to the WHO, one-sixth of the world's population suffers from vision impairment. According to World Health Organization (WHO) statistics p...

DOAJ Open Access (DOAJ) DOI: 10.37385/jaets.v4i2.2013

Patient information needs for transparent and trustworthy cardiovascular artificial intelligence: A qualitative study.

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...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pdig.0000826

Association between myosteatosis and impaired glucose metabolism: A deep learning whole‐body magnetic resonance imaging population phenotyping approach

Matthias Jung, Hanna Rieder, Marco Reisert, Susanne Rospleszcz et al. • Journal of Cachexia, Sarcopenia and Muscle (2024)

Abstract Background There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with th...

DOAJ Open Access (DOAJ) DOI: 10.1002/jcsm.13527

Formula for the Digital Wellbeing of the Personality

Svetlana V. Chigarkova, Galina U. Soldatova • Национальный психологический журнал (2026)

Background. In the context of the digitalisation of everyday life, digital wellbeing is a concept that has recently emerged. It signifies the need to reflect on the impact of digital transformations on various spheres of human life, and is ...

DOAJ Open Access (DOAJ) DOI: 10.11621/npj.2026.0104

From Promise to Peril: generative artificial intelligence's potential to deepen educational inequalities in geographically diverse contexts

Ben Archer • Artificial Intelligence in Education (2026)

PurposeThis study critically examines how van Dijk's Digital Divide Theory applies to generative artificial intelligence (GenAI) access in regional, remote and rural (RRR) educational contexts. It interrogates whether a framework designed f...

DOAJ Open Access (DOAJ) DOI: 10.1108/AIIE-07-2025-0199

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

Stone, Peter, Rodney A. Brooks, Erik Brynjolfsson, Ryan Calo et al. • arXiv (Cornell University) (2022)

In September 2016, Stanford's "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the first report of its planned long-term periodic assessment of artificial intelligence (AI) and its impact on society. It was written...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2211.06318