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generative ai

2,538 papers

#generative ai Open access Oct 2026

Design Implications for Teacher-Configurable Generative AI Writing Tools: A Participatory Design Study with StoryBot

As generative AI (GenAI) tools become accessible, their integration into K–12 writing presents opportunities and challenges. This study partnered with 21 primary school teachers in a participatory co-design process to develop StoryBot, a teacher-configurable GenAI story-authoring platform. Teachers identified instructi...

Ariel Han, Shenshen Han, Zhenyao Cai et al. · 0 citations
#generative ai Open access Oct 2026

The Rectification Train: Recovering Meaning from Everyday Typing Errors Without Altering the Record

People type faster than they type accurately, and a growing share of the record, from chat logs and working sessions with AI systems to field notes and first drafts, is captured exactly as typed. Uncorrected text is often unreadable to search: the words are there, but no query can find them. This paper describes the re...

Kirk Laughead · 2 citations
#generative ai Open access Oct 2026

A Data Commodity Exchange: A Plan for Grading, Certifying, and Trading Recovered Records

Two trends are converging. Households and businesses pay to destroy or store paper and digital records they cannot use, and the volume is about to rise as a generation’s homes change hands. At the same time, developers of AI systems and other buyers are paying substantial sums for human-made material they cannot obtain...

Kirk Laughead · 2 citations
#generative ai Open access Oct 2026

Why No One Has Implemented the Turing Test: Identifying Turing’s Design and Putting it into Practice

Abstract In October 1950, Alan Turing proposed that a machine’s success in an imitation game provides a criterion for thinking. Turing’s test became one of the philosophical foundations of AI, but three-quarters of a century later, it is widely claimed that generative AI models pass the test, rendering it obsolete. Our...

Diane Proudfoot, Sharon Temtsin, Christoph Bartneck · 0 citations
#generative ai Oct 2026

Accelerating Field Development Planning with Generative AI: A Transformer-Based Framework

Abstract Field development planning for oil and gas reservoirs is becoming increasingly complex, making traditional simulation-based optimization prohibitively costly in time and compute. This research explores a generative AI transformer that directly predicts optimal well locations, aiming to maximize net present val...

M. A. Al-Ismael, A. A. Awotunde · 0 citations
#generative ai Open access Oct 2026

Where Does Value Take Shape? An AI–Human Serious Game Design Experiment on the Poème Électronique

This article presents a design experiment investigating whether and how cultural heritage values may emerge in the development of a serious game created through generative AI. Centered on Edgar à GoGo—a game based on Edgar Varèse’s Poème Électronique—the study explores whether meaningful aspects of the heritage item ca...

Vittorio Murtas, Vincenzo Lombardo · 0 citations
#generative ai Open access Oct 2026

PREreview of "(When) Should a Software Factory be Lights-off? Benchmarking Code Review Agents on Bug Detection"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23335998. Thank you for this paper. You build CRBugBench from human-verified bugs mined from repository history and traced back to the pull request that introduced them, 1,000 tasks...

Evgeny V. Arsentyev · 0 citations

Ai Enabled Digital Twins Enabling Integrated Production Optimization and Autonomous Operations

Abstract ADNOC has deployed an AI enabled Production System Optimization (AiPSO) solution to digitally transform production operations and maximize asset performance across thousands of wells, multiple production networks, and reservoirs. AiPSO addresses legacy surveillance approaches, delayed diagnostics, and continuo...

R. Mohan, S. Al Muhairi, M. Al Hashemi et al. · 0 citations
#artificial intelligence Open access Oct 2026

Hyper-Expressions: AI-Generated Faces Emulate and Amplify Stereotypical Human Emotions

Artificial intelligence (AI) models are capable of generating highly realistic human images with a tendency to stereotypically bias race and gendered features. These models also readily generate emotional faces, but little is known about the perceptual nature of these expressions. To examine if AI-generated facial expr...

Chen Reshef, Hillel Aviezer, Ariel Goldstein · 0 citations
#artificial intelligence Open access Oct 2026

Boundary-consistent screening of electricity, carbon and water footprints for generative-AI inference: a reproducible methodological note

Environmental footprint estimates for generative artificial-intelligence (AI) inference are often compared despite differences in workload, reporting statistic and infrastructure accounting boundary. This methodological technical note proposes a conservative screening protocol for deciding whether published electricity...

Er.Lavanya Sivaramakrishnan · 0 citations
#artificial intelligence Review Open access Dec 2026

Generative Artificial Intelligence and University Students' Critical and Higher-Order Thinking Outcomes: A PRISMA-Based Systematic Review and Thematic Analysis

This review contributes a dimension-level synthesis of generative AI and higher-order thinking, identifies the pedagogical conditions associated with favorable and unfavorable outcomes, and documents the heterogeneity of outcomes across studies, offering an evidence-informed framework for educators, curriculum designer...

Yunardi Kristian Zega, Rini Sumanti Sapalakkai, Yuireishang Shithungdang et al. · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

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 Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

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