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Findings & Recommendations: AI Safety

This report details findings and recommendations about AI safety for the United States ...
National Artificial Intelligence Initiative Office. The National AI Advisory Committee
core  

Artificial Intelligence as a New Narrator: The Use of AI in School Social Media – Analysis, Risks, and Recommendations

The aim of this article is to analyze the use of artificial intelligence as an active participant and content creator in school social media. The subject of the study includes AI-based tools (e.g., text and image generators) employed by schools in ...
Hanna Jadwiga Pachurka
core   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Consumers’ perceptions of AI-based recommendations [PDF]

As digital platforms increasingly rely on recommendation systems, understanding how these systems influence consumer behavior is essential. While AI-based recommendations offer strong personalization, research suggests that consumers may respond ...
Mehrmam, Melina
core   +1 more source

AI-Based Learning Recommendations: Use in Higher Education

Future Internet
We propose the extension for Artificial Intelligence (AI)-supported learning recommendations within higher education, focusing on enhancing the widely-used Moodle Learning Management System (LMS) and extending it to the Learning eXperience Platform (LXP).
Prabin Dahal, Saptadi Nugroho, Claudia Schmidt, Volker Sänger   +3 more
doaj   +1 more source

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

Advanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev, Noah‐Lean Roschlaub, Anne Jung   +2 more
wiley   +1 more source

AI-driven disinformation: policy recommendations for democratic resilience

Frontiers in Artificial Intelligence
The increasing integration of artificial intelligence (AI) into digital communication platforms has significantly transformed the landscape of information dissemination.
Alexander Romanishyn, Olena Malytska, Vitaliy Goncharuk   +2 more
doaj   +1 more source

How AI can help your company set a budget

AI has been heralded — and put to use — as a groundbreaking new tool that companies can use in the budgeting process. But even companies that have embraced AI are still struggling with aspects of the budgeting process in today’s complex and rapidly ...
Stouthuysen, Kristof, Willems, Emma
core  

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Advanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling, Philipp von Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Chris Eberl   +15 more
wiley   +1 more source

RECMOOC4ALL: an AI-driven recommender system for personalized and accessible MOOC recommendations

Smart Learning Environments
Abstract Massive Open Online Courses (MOOCs) have widened access to education globally; however, they continue to face course overload, limited guidance, insufficient context-aware personalization, and high dropout rates. These challenges are even more pronounced for learners with disabilities, due to limited accessibility support and
Salwa Mrayhi, Mohamed Koutheaïr Khribi, Mohamed Jemni   +2 more
openaire   +2 more sources