Extending AI for Research
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Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded Scholarship
Announce Type: new Abstract: LLM-based research agents have advanced rapidly in science and engineering, where research is organized around executable experiments, code, and quantitative signals. Humanities scholarship, however, requires a different mode of reasoning: interpretive, evidence-grounded argument over primary sources, where scholarly value depends on faithful quotation, verifiable provenance, and close reading. Existing research agents remain largely optimized for execution and...
Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded Scholarship
arXiv:2605.30947v3 Announce Type: replace Abstract: LLM-based research agents have advanced rapidly in science and engineering, where research is organized around executable experiments, code, and quantitative signals. Humanities scholarship, however, requires a different mode of reasoning: interpretive, evidence-grounded argument over primary sources, where scholarly value depends on faithful quotation, verifiable provenance, and close reading. Existing research agents remain largely...
Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded Scholarship
arXiv:2605.30947v2 Announce Type: replace Abstract: LLM-based research agents have advanced rapidly in science and engineering, where research is organized around executable experiments, code, and quantitative signals. Humanities scholarship, however, requires a different mode of reasoning: interpretive, evidence-grounded argument over primary sources, where scholarly value depends on faithful quotation, verifiable provenance, and close reading. Existing research agents remain largely...
Developing an AI-Powered UX Research Point of View for Digital Health in A Regulatory Context: An Exemplar Case from MSM and Transgender HIV Care in Nigeria
arXiv:2605.31138v1 Announce Type: new Abstract: User Experience Research (UXR) in a legal and regulatory contexts presents unique challenges that require specialised approaches to protect vulnerable populations whilst generating actionable insights. Digital consultation, appointment booking, and medication delivery platforms show promise for extending care access; however, their real-world effectiveness is curtailed by an absence of theoretically grounded user experience research (UXR)...
Developing a Culturally Grounded, AI-Augmented UX Research Point of View (POV): An Exemplar Case Study from Telemedicine Dementia Care
arXiv:2605.31147v1 Announce Type: new Abstract: User Experience Research (UXR) Points of View (POVs) distil complex and often fragmented research evidence into actionable perspectives that guide how teams interpret user needs, frame design decisions, and align stakeholders. Although POVs are widely used in industry practice, there are few published examples that explicitly document how POVs are constructed, particularly in culturally sensitive and low-resource contexts.
A Model of Integrated Information Processing in Human-AI Interaction
arXiv:2606.07283v1 Announce Type: new Abstract: For Human-AI Interaction (HAII) research to move forward, theoretical work linking psychological mechanisms to interface design is needed. Such work should extend rather than replace established HCI and automation research, adapting to the increasing autonomy and agency of AI systems. Building on prior frameworks focused on roles and levels in human interaction with automation, a gap remains from a psychological view: a task-centered,...
AI crosses catalyst boundaries to uncover new route for green hydrogen
AI crosses catalyst boundaries to uncover new route for green hydrogen Gaby Clark Scientific Editor Robert Egan Associate Editor Discovering new catalysts is one of the central challenges in developing clean-energy technologies such as green hydrogen production. Yet catalyst discovery has traditionally remained confined within individual material families, limiting researchers' ability to transfer knowledge across chemically distinct systems. AI unites separate catalyst families A research...
China launches space computing hub as SpaceX gears up for historic IPO
China is ramping up its bets on space-based artificial intelligence computing with the launch of a state-backed research institute in Beijing, accelerating a frontier tech race with the US just as Elon Musk’s SpaceX eyes a record-shattering US$75 billion market debut to fund its own orbital AI ambitions. The establishment of the Beijing Space Intelligent Computing Research Institute marks a major step in the superpowers’ AI rivalry, which is increasingly extending beyond Earth as terrestrial...
Trustworthy AI Software Engineers
arXiv:2602.06310v2 Announce Type: replace Abstract: With the rapid rise of AI coding agents, the fundamental premise of what it means to be a software engineer is in question. In this vision paper, we examine what it means for an AI agent to be considered a software engineer and then critically think about what makes such an agent trustworthy. Grounded in established definitions of SE (SE) and informed by recent research on agentic AI systems, we conceptualise AI software engineers as...
A classic brain test exposed AI's biggest weakness
A classic brain test exposed AI's biggest weakness - Date: - June 10, 2026 - Source: - PNAS Nexus - Summary: - Researchers gave top AI models a classic attention test used in psychology and found a major flaw. While the models could correctly name colors in short lists, their performance deteriorated sharply as the task became longer and more complex. Some leading systems fell from over 90% accuracy to nearly complete failure.