A new arXiv submission revisits the authors' 2026 journal article on how expertise and information seeking shift in the era of generative AI, adding extended discussion for a CSCW 2026 workshop on the broader impacts of GenAI in communication. The work frames the changes as both new procedures and new problematics for researchers studying search and expertise.
A new arXiv preprint examines whether generative AI is pushing scientific research away from deep specialization and toward broader individual knowledge. The authors analyze papers, cited knowledge inputs, career trajectories, and team composition to test that proposition. It sits in the cs.AI cross-list and is a research contribution rather than a product or policy announcement.
A new arXiv preprint argues that generative AI is already being used informally in air traffic management for tasks like drafting flight plans, interpreting trajectories, and checking constraints. The authors propose a decision-assurance layer intended to provide oversight for these AI-assisted workflows before they are relied on operationally. The work is a research proposal rather than a deployed system.
Researchers propose a multimodal framework that combines generative AI with person re-identification to improve matching across multiple cameras. The approach targets common failure cases such as viewpoint changes, varying lighting, occlusion, cluttered backgrounds, and low-resolution footage while aiming for low latency. The work is presented in an arXiv preprint.
A structured review of 24 empirical studies looks at how researchers assess whether people use generative AI competently on the job, comparing self-reports, objective tests, and measures of oversight and reliance. The authors also conduct an exploratory meta-analysis and note that measures are split across these approaches, which complicates comparison across studies. The paper is a preprint posted to arXiv.
A new arXiv paper examines how generative AI and extended reality tools can be integrated into architectural design education, where visual ideation and representation are central to studio learning. The authors conducted an exploratory studio study to observe how these technologies affect collaborative design work among students. The work is cross-listed and appears as a preprint without peer review.
A new arXiv preprint examines how generative AI can be used in co-design processes to tailor personal health interfaces to individual preferences. The authors argue that standard wellbeing dashboards often fail to match how people interpret and act on their own data, and that customizing them typically demands design and technical skills many users lack. The work positions generative AI as a way to lower that barrier by involving users directly in shaping what they see.
A new preprint evaluates whether large language models and AI-assisted coding practices are broadening or narrowing the methodological toolkit available to computational archaeologists. The authors argue that generative AI and informal "vibe coding" workflows are changing how researchers in the field conduct computational work, yet the discipline-wide effects remain poorly documented.
A research paper posted to arXiv presents Elsewise, a system for creators of interactive narratives who build branching spaces of story outcomes that players then explore through their own choices. The system combines generative AI with a visual map of the possibility space, letting authors see and shape the range of stories a player might encounter. The work targets more open-ended, player-driven storytelling than traditional branching scripts.
A working paper examines the 2023 integration of generative AI into the FactSet platform, treating the rollout as a natural experiment in AI access for finance professionals. The authors report that the technology measurably changed how equity analysts produce research and process information. The findings offer early evidence on how generative AI affects knowledge work in the financial industry.
Apple has launched a feature called Apple Reference Image that helps users check whether a photo has been altered, including changes produced by generative AI tools. The capability is aimed at giving people more confidence about an image's authenticity. Apple has not yet detailed exactly how the check works or which devices will support it.
Filmmakers worked with Google DeepMind to create 'Love, Rendered,' a short film that uses generative AI to visualize a couple's seven-decade relationship, including moments that were never captured on camera. The project highlights how AI video generation is being applied to intimate, personal storytelling rather than commercial production.
WHY IT MATTERS ↘DeepMind using its video models for a prestige creative project is a differentiation and legitimacy play against commercial-focused rivals like OpenAI's Sora, positioning AI video for narrative and personal use cases rather than ads or VFX pipelines. It also surfaces near-term governance friction: photorealistic generation of moments that were never recorded raises consent and provenance questions practitioners will need to answer as such tools reach consumers.
Adobe is integrating generative AI into the editing timelines of Premiere Pro and After Effects, aiming to speed up video editing, audio work, and color correction. Premiere Pro can now generate video and audio clips directly inside a project, while After Effects gains an AI assistant. The company has not yet detailed availability or pricing for the features.
OpenAI is accepting applications for a $5 million grant program that will fund independent studies on how generative AI influences adolescent development, well-being, and safety. The initiative is aimed at researchers outside the company who are examining the risks and benefits of AI use among teenagers.
WHY IT MATTERS ↘By bankrolling independent research on adolescent AI use, OpenAI is helping shape the evidence base that regulators, courts, and school buyers will likely cite, while positioning youth safety as a credibility battleground competitors must address. For practitioners, this signals that age-appropriate design, safety evaluations, and possibly age assurance are moving toward standard product and compliance expectations rather than optional features.