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generative ai

2,323 papers

#generative ai Book Open access Oct 2026

Designing the dash in Human–AI Collaboration: A Redesign Probe for Working with Tensions in Care Documentation Practices

An empirical account of how professional judgment is negotiated through AI-generated representations is contributed and a redesign probe is introduced as a way to engage with AI integration in practice.

Tina Westergaard Milbak, M. Cohn, Naja L. Holten Møller · 0 citations
#generative ai Book Open access Oct 2026

Professional Creative Writers’ Perspectives on Writing in the Age of GenAI: Emerging Practices and Tensions

Creative writers are under growing pressure to adapt to generative AI (genAI), which affords efficiency gains but may disrupt established notions of authorship, originality, and craft. To examine this tension, we conducted a qualitative online survey with Finnish professional writers (n=52), including book authors, scr...

Matilda Kalving, Kaisa Väänänen, Thomas Olsson · 0 citations
#generative ai Book Open access Oct 2026

Asemic: Designing and Evaluating a Creativity Support Tool for Exploring Form Languages

Insight into agency and roles in generative human-computer interaction, articulate form languages as constructs for designing generative systems, and implications for creativity support tools to empower users as explorers of possibility spaces are contributed.

Jakob Houmøller Pedersen, Anton Hedegaard Mortensen, M. Biskjaer et al. · 0 citations
#generative ai Book Open access Oct 2026

Understanding the Imagined City: Exploring How Decision-Makers Can Make Sense of Citizens AI Generated Urban Imaginaries in Citizen Engagement

Imp implications for identifying when and how urban imaginaries can be meaningfully integrated into participatory urban planning are outlined and aim to support decision-makers in understanding citizens’ needs and translating their visions into meaningful action.

Adrian Preussner · 0 citations
#generative ai Book Open access Oct 2026

Designing Constrained AI Assistance for Novice Programmers: Tensions and Hypotheses from a JupyterLab Hint System

A design case study of a JupyterLab addon that delivers Socratic hints instead of direct answers, and six design hypotheses for developers of constrained AI programming assistants, addressing hint escalation, selective dialogue, context granularity, vocabulary calibration, onboarding transparency, and difficulty-aware...

Alexandre De Masi, Chen Wang, Laurent Moccozet · 0 citations
#generative ai Book Open access Oct 2026

The Human Instructor Is Gone - What If We Cast GenAI for the Role?

As the technical ease of deploying Generative AI (GenAI) has led to its rapid adoption in healthcare training workflows, a critical gap has emerged in understanding how it reconfigures key aspects of work practice; e.g., instructional authority, responsibility, and interpretation in CPR training. In this speculative st...

Tina Westergaard Milbak, M. Cohn, J. Halse et al. · 1 citation
#generative ai Open access Sep 2026

Likeness Notes: An AI-Realized Concept Album as a Field Experiment in Declared Intent, Cybernetic Workflows, and Methodology

Likeness Notes Synopsis Likeness is an independent, thirteen-track Indie Folk concept album realized entirely through multimodal generative artificial intelligence (Google Gemini 3 and Lyria 3), accompanied by an exhaustive monograph. Rather than treating artificial intelligence as a push-button novelty or a tool for a...

Jan Köster · 0 citations
#generative ai Open access Sep 2026

Sharp and Growing Linear-Excess Inverse Theorems for Sets with Few Subset Sums

Let A be an n-element set of positive real numbers and let FS(A) denote its subset sums, including the empty sum. Put T_n = n(n+1)/2. We prove a sharp and growing inverse theory around the minimum T_n + 1. For every fixed integer C ≥ −1, Chen’s eventual fixed-defect classification at |FS(A)| ≤ T_n + n + C + 1 already h...

Akihiro Koide · 0 citations
#generative ai Open access Sep 2026

Parity Energy and Sharp Relative-Scale Gaps for Sets with Few Subset Sums

For a finite set A of positive integers, let FS(A) denote its subset sums, including the empty sum, and put T_n = n(n+1)/2. This preprint studies how parity and the common scale of the even elements force additional subset sums above the classical minimum T_n + 1.For a mixed-parity n-element set with k odd elements and...

Akihiro Koide · 0 citations
#large language models Open access Sep 2026

Artificial Intelligence in CPU and ASIC Design: Applications, Design-Space Exploration, and Engineering Constraints

Modern CPU and application-specific integrated circuit (ASIC) development requires engineers to search large design spaces while satisfying power, performance, area, timing, and correctness constraints. Artificial intelligence (AI) is increasingly being integrated into electronic design automation (EDA) to accelerate p...

Jerome Bernard Auman · 0 citations
#generative ai Open access Sep 2026

AI-use guidance for term papers, theses and dissertations: rule files, guides and log templates (German/English)

English: (German below) A bilingual (German/English) set of materials for using generative AI in academic term papers, theses and dissertations. A rule file, pasted once into a chat project, turns a general chatbot into a tutor that explains rather than supplies, questions rather than agrees, and declines requests that...

Benjamin L. Sluckin · 0 citations

From tech blogs

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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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