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Large Language Models (LLMs) are being integrated into professional domains, yet their limitations in such high-stakes fields as law remain poorly understood. In response, this paper introduces examples of critical challenges to the…

Artificial Intelligence · Computer Science 2026-01-27 Eljas Linna , Tuula Linna

Generative AI, specifically text-to-image models, have revolutionized interior architectural design by enabling the rapid translation of conceptual ideas into visual representations from simple text prompts. While generative AI can produce…

Human-Computer Interaction · Computer Science 2025-06-19 Richa Gupta , Alexander Htet Kyaw

AI is growing increasingly capable of automatically generating user interfaces (GenUI) from user prompts. However, designing GenUI applications that enable users to discover diverse customizations while preserving GenUI's expressiveness…

Human-Computer Interaction · Computer Science 2026-01-27 Bryan Min , Peiling Jiang , Zhicheng Huang , Haijun Xia

This paper explores the critical transition from Generative Artificial Intelligence (GenAI) to Innovative Artificial Intelligence (InAI). While recent advancements in GenAI have enabled systems to produce high-quality content across various…

Machine Learning · Computer Science 2025-03-17 Seyed Mahmoud Sajjadi Mohammadabadi

Producing an artificial general intelligence (AGI) has been an elusive goal in artificial intelligence (AI) research for some time. An AGI would have the capability, like a human, to be exposed to a new problem domain, learn about it and…

Artificial Intelligence · Computer Science 2024-06-18 Jeremy Straub

In the ever-evolving landscape of Artificial Intelligence (AI), the synergy between generative AI and Software Engineering emerges as a transformative frontier. This whitepaper delves into the unexplored realm, elucidating how generative AI…

Generative AI is reshaping how software is designed, written, and maintained. Advances in large language models (LLMs) are enabling new development styles - from chat-oriented programming and 'vibe coding' to agentic programming - that can…

Software Engineering · Computer Science 2025-10-14 Vivek Acharya

Various studies have studied the impact of Generative AI on Computing Education. However, they have focused on the implications for novice programmers. In this experience report, we analyze the use of GenAI as a support tool for learning,…

Computers and Society · Computer Science 2025-03-21 Isaac Alpizar-Chacon , Hieke Keuning

Maps are broadly relevant across various fields, serving as valuable tools for presenting spatial phenomena and communicating spatial knowledge. However, map-making is still largely confined to those with expertise in GIS and cartography…

Artificial Intelligence · Computer Science 2024-10-22 Sidi Wu , Katharina Henggeler , Yizi Chen , Lorenz Hurni

The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculation about the potential impact of this new technology.…

Computers and Society · Computer Science 2025-03-11 Veda C. Storey , Wei Thoo Yue , J. Leon Zhao , Roman Lukyanenko

AI image generators based on diffusion models have recently garnered attention for their capability to create images from simple text prompts. However, for practical use in civil engineering they need to be able to create specific…

Machine Learning · Computer Science 2024-05-06 Joern Ploennigs , Markus Berger

Integrating modern artificial intelligence (AI) techniques, particularly generative AI, holds the promise of revolutionizing computer-aided design (CAD) tools and the engineering design process. However, the direction of "AI+CAD" remains…

Human-Computer Interaction · Computer Science 2024-10-08 Qiang Zou , Yincai Wu , Zhenyu Liu , Weiwei Xu , Shuming Gao

This paper investigates how generative-artificial intelligence AI is reshaping job requirements, skill compositions and sectoral dynamics across global labor markets. It examines the evolving frequency and framing of AI-related competencies…

Computers and Society · Computer Science 2026-05-05 Diana Maria Popa , Simona-Vasilica Oprea , Adela Bâra

AI has the potential to improve approaches to talent management enabling dynamic provisions through implementing advanced automation. This study aims to identify the new requirements for developing AI-oriented artifacts to address talent…

Artificial Intelligence · Computer Science 2022-07-26 Ali Faqihi , Shah J Miah

The process of ship design is intricate, heavily influenced by the hull form which accounts for approximately 70% of the total cost. Traditional methods rely on human-driven iterative processes based on naval architecture principles and…

Machine Learning · Computer Science 2024-09-02 Sahil Thakur , Navneet V Saxena , Prof Sitikantha Roy

A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. The generative capabilities of these tools are likely to…

The introduction of generative artificial intelligence applications to the public has led to heated discussions about its potential impacts and risks for K-12 education. One particular challenge has been to decide what students should learn…

Computers and Society · Computer Science 2026-02-20 Yasmin Kafai , Shuchi Grover

Generating novel and useful concepts is essential during the early design stage to explore a large variety of design opportunities, which usually requires advanced design thinking ability and a wide range of knowledge from designers.…

Computation and Language · Computer Science 2022-11-08 Qihao Zhu , Jianxi Luo

Game theory offers a powerful framework for analyzing strategic interactions among decision-makers, providing tools to model, analyze, and predict their behavior. However, implementing game theory can be challenging due to difficulties in…

Computer Science and Game Theory · Computer Science 2024-05-15 Yaoqi Yang , Hongyang Du , Geng Sun , Zehui Xiong , Dusit Niyato , Zhu Han

Generative artificial intelligence models learn probability distributions from data and produce novel samples that capture the salient properties of their training sets. Proteins are particularly attractive for such approaches given their…

Biomolecules · Quantitative Biology 2026-02-27 Filippo Stocco , Michele Garibbo , Noelia Ferruz