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generative ai

2,298 papers

#artificial intelligence Open access Sep 2026

Artificial Intelligence in Interior Design: Opportunities, Challenges and Future Perspectives

Artificial Intelligence (AI) is rapidly transforming the design industry by introducing data-driven, generative, predictive, and automated approaches to creative and technical processes. Interior design, traditionally dependent on human creativity, spatial understanding, material knowledge, and client preferences, is i...

Trushna S. Kalambe · 0 citations
#artificial intelligence Book Open access Sep 2026

Philosophy of Artificial Intelligence: From Turing to Large Language Models

Artificial intelligence presents deep and important philosophical questions, ranging from whether computers can think, whether large language models truly understand language and whether AI can be creative, to moral and political issues, criminal justice, health, and the future of work. In this much-needed book, Donald...

Donald A. Gillies, Marco Fyfe Pietro Gillies · 0 citations
#generative ai Open access Sep 2026

Paradigm Shift in Mobile Authentication Against Generative AI Attacks: A Real-Time HPV Framework

The rapid advancement of generative AI technologies has introduced new threats such as deepfakes, voice cloning, and synthetic behavioral patterns, thereby undermining the reliability of existing mobile authentication systems.Traditional mobile authentication has primarily focused on identifying registered users; howev...

Dong Kil Tak · 0 citations
#generative ai Open access Sep 2026

Generative Resonance as a Macrodynamic Theory of Growth and Stagnation ー Population, Productivity, Participation, and the Endogenous Cooling of Economic Development

Short Description This paper develops Generative Resonance Theory as a macrodynamic explanation of growth and stagnation. It introduces generative resonance intensity, (G=\Phi R), as a state variable describing a society's capacity to connect unrealized possibilities with relational participation. The framework explain...

Kazunori Ohumi · 0 citations
#generative ai Open access Sep 2026

Assessing Human-AI Collaboration in Design Education: A Process-Oriented Rubric Grounded in an Extended AI-TPACK Framework

Generative artificial intelligence (GenAI) can now produce visually convincing design proposals in seconds, undermining a basic assumption of product-based grading: that the quality of a final artifact is a reasonable proxy for the quality of the thinking behind it. This paper addresses the resulting assessment gap in...

Fatma Kaya Orhon, Kamil Çekerol, Serap Uğur · 0 citations
#generative ai Open access Sep 2026

Human-Centred AI Literacy in the Arts and Humanities: Interpreting Generative Content, Authorship, Provenance and Cultural Meaning

Generative artificial intelligence (GenAI) is increasingly involved in the production, transformation and circulation of cultural content. In the Arts and Humanities, this development raises questions that extend beyond the technical operation of AI systems: how should students, researchers and cultural practitioners e...

Aniruddha Adhikari · 0 citations
#generative ai Open access Sep 2026

Human-Centred AI Literacy in the Arts and Humanities: Interpreting Generative Content, Authorship, Provenance and Cultural Meaning

Generative artificial intelligence (GenAI) is increasingly involved in the production, transformation and circulation of cultural content. In the Arts and Humanities, this development raises questions that extend beyond the technical operation of AI systems: how should students, researchers and cultural practitioners e...

Aniruddha Adhikari · 0 citations
#generative ai Open access Sep 2026

Supplementary data for "Artificial Intelligence Methods for Automating Literature Review Workflows: A Critical Review"

Supplementary data for the critical review "Artificial Intelligence Methods for Automating Literature Review Workflows," which analyses 191 publications from 2016 to 2025 and maps methods, evaluation practices, and validation maturity across seven literature-review workflow phases. This deposit contains the complete st...

Rooshan Saleem Butt, Misbah Ghalib, Matteo Perillo et al. · 0 citations
#generative ai Open access Sep 2026

Impact of Artificial Intelligence on Job Security of Employees in IT Sector - A Study in Congnizent Technology Servies in Coimbatore City

Artificial Intelligence (AI) has emerged as a transformative technology in the Information Technology (IT) sector, influencing the way organizations perform business operations, deliver services, and manage human resources. The increasing adoption of AI, automation, machine learning, and generative AI has created oppor...

M Saranya, G Rajeshwari · 0 citations
#generative ai Open access Sep 2026

The Effects of Generative AI Information Quality on Continuance Intention: Focusing on the Mediating Effect of Media Literacy

This study examines how perceived information quality in a generative artificial intelligence (AI)-driven information environment influences users' media literacy and continuance intention, and tests the mediating role of media literacy in this relationship.An online survey was conducted among 536 adults aged 18 and ab...

Xue Meng Hui · 0 citations

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

GPT-Lab Oct 12, 2026

AI Has Grown Up. Have We?

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.

Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

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.

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