Introduction The widespread adoption of generative AI tools has created new methodological challenges for the validity of assessment in higher education. If a neural network can write code, how can a student's actual knowledge be assessed objectively? This study proposes a multifactor AI-assisted assessment model for t...
Жанат Нурбекова, Maira Kemelbek, Ainur Sagimbayeva et al.· Frontiers in Education· 0 citations
Artificial intelligence (AI) is transforming translation and interpreting with unprecedented speed, raising fundamental questions about the future of cross-lingual communication. This edited volume brings together scholars and practitioners from around the world to examine the technological, ethical, legal and pedagogi...
The rapid development of generative AI has transformed content creation, communication, and human development. However, this technology raises profound concerns in high-stakes domains, demanding rigorous methods to analyze and evaluate AI-generated content. While existing analytic methods often treat images as indivisi...
Legal artificial intelligence (AI) systems increasingly draw on retrieval-augmented generation (RAG), transformerbased embeddings, multi-stage structured reasoning, and ensemble learning to support tasks such as legal question answering,
legal judgment prediction, and multilingual outcome prediction. Hallucination, lim...
Neeraja R. A., Sherin Shaji, Devende M. R. et al.· International Journal for Re...· 0 citations
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The modern system of general secondary education in Ukraine is developing amid profound digital transformation and arethinking of learning goals. Within the New Ukrainian School, the emphasis shifts from the acquisition of ready-madeknowledge to the formation of key competencies, among which critical thinking holds a c...
Лариса Сипліва· Освіта та розвиток обдарован...· 0 citations
Abstract This chapter is devoted to highlighting aspects of the development of technologies based on artificial intelligence (AI) models and their current use. Special attention is paid to the role of AI in creativity and intellectual property. It is noted that AI can act as a tool directly involved in the creative pro...
Oleksandra Oliynychuk, Jacek Paluszak· Emerald Group Publishing Lim...· 0 citations
This article examines how Polish social work practitioners perceive artificial intelligence (AI), the extent of its adoption, and the hopes and concerns linked to its use. In December 2025, a nationwide Computer-Assisted Web Interview (CAWI) survey was conducted with 1,243 social workers and managers employed in social...
Ryszard Necel· Journal of Social Work Pract...· 0 citations
Maintaining safety in crowded events with more than 4.5 million Hajj and Umrah pilgrims becomes a very challenging issue in terms of crowd security. While occlusion occurs in traditional closed-circuit television (CCTV) systems, drone-based crowd surveillance is still susceptible to threats like spoofing, command injec...
A. Assiri, E. Alsisi· IEEE Internet of Things Jour...· 0 citations
AI-powered supply chain systems, a critical component of IoT, leverage automated image verification for deliveries but face vulnerabilities such as image manipulation, which can introduce false data and security risks. With advancements in generative AI, attackers can now manipulate logistics images more convincingly,...
Ze-Hui Jin, Yang-Yan Zeng, Xi-Kun Zheng et al.· IEEE Internet of Things Jour...· 0 citations
Ocular diseases are a leading cause of permanent blindness worldwide, making early and accessible screening critical for vision preservation. Fundus imaging, increasingly deployed through Internet of Medical Things (IoMT) devices, offers a noninvasive and cost-effective modality for large-scale retinal screening in com...
Yan-Han Hu, Yu-Xin Zhu, Tian-Tian Zhang et al.· IEEE Internet of Things Jour...· 0 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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