{
  "count": 50,
  "items": [
    {
      "url": "https://www.sciencedirect.com/science/article/pii/S030859612600145X?dgcid=rss_sd_all",
      "title": "Analysis of hotspot areas in China's satellite internet innovation policies and research on policy evolution",
      "summary": "Publication date: October 2026 Source: Telecommunications Policy, Volume 50, Issue 9 Author(s): Shuyu Pan, Ye Yuan, Wenle Jiang, Zixin Xu, Zhelun Zhu, Jiacheng Liu",
      "authors": null,
      "category": "research",
      "topics": "regulation",
      "published_at": "2026-07-30T05:10:24.387Z",
      "source": "Telecommunications Policy"
    },
    {
      "url": "https://www.sciencedirect.com/science/article/pii/S0160791X26002642?dgcid=rss_sd_all",
      "title": "Medical robotics beyond automation: Human-robot collaboration and the RONNA system as a socio-technical case study",
      "summary": "Publication date: September 2026 Source: Technology in Society, Volume 88 Author(s): Marina Raguž, Domagoj Dlaka, Marko Švaco, Petar Marčinković, Dominik Romić, Filip Šuligoj, Bojan Šekoranja, Darko Chudy, Bojan Jerbić",
      "authors": null,
      "category": "research",
      "topics": "jobs-economy,healthcare,agents-autonomy",
      "published_at": "2026-07-30T05:10:24.387Z",
      "source": "Technology in Society"
    },
    {
      "url": "https://www.sciencedirect.com/science/article/pii/S0160791X26002460?dgcid=rss_sd_all",
      "title": "The role of technology and exports in shaping skill- and gender-differentiated employment in global value chains",
      "summary": "Publication date: September 2026 Source: Technology in Society, Volume 88 Author(s): Mohd Shuaib, Mohammad Haseeb, Fei Fan",
      "authors": null,
      "category": "research",
      "topics": "jobs-economy",
      "published_at": "2026-07-30T05:10:24.387Z",
      "source": "Technology in Society"
    },
    {
      "url": "https://www.sciencedirect.com/science/article/pii/S0160791X26002344?dgcid=rss_sd_all",
      "title": "Algorithmic transparency and citizen trust in digital governance: A cross-national analysis of AI adoption in public services",
      "summary": "Publication date: September 2026 Source: Technology in Society, Volume 88 Author(s): Ye Zheng, Muhammad Farhan",
      "authors": null,
      "category": "research",
      "topics": "regulation,transparency",
      "published_at": "2026-07-30T05:10:24.387Z",
      "source": "Technology in Society"
    },
    {
      "url": "https://www.sciencedirect.com/science/article/pii/S2666920X26001153?dgcid=rss_sd_all",
      "title": "A scoping review of generative AI-powered agentic AI in education: Research landscape, agentic capabilities, and insights from the frontier agent paradigm, exemplified by OpenClaw",
      "summary": "Publication date: Available online 28 July 2026 Source: Computers and Education: Artificial Intelligence Author(s): Ningxia Wang, Di Zou, Haoran Xie, S.Joe Qin",
      "authors": null,
      "category": "research",
      "topics": "children-education,agents-autonomy",
      "published_at": "2026-07-30T05:10:24.387Z",
      "source": "Computers and Education: Artificial Intelligence"
    },
    {
      "url": "https://www.heise.de/news/OpenAIs-KI-Agent-knackte-nicht-nur-Hugging-Face-was-genau-passierte-11382132.html?wt_mc=rss.red.ho.ho.atom.beitrag.beitrag",
      "title": "OpenAIs KI-Agent knackte nicht nur Hugging Face – was genau passierte",
      "summary": "OpenAI-Modelle attackierten vergangene Woche scheinbar weitere Software. Die Firma erklärt nun ausführlicher, was genau passiert ist.",
      "authors": "Carolin Riethmüller",
      "category": "news",
      "topics": "agents-autonomy",
      "published_at": "2026-07-30T04:24:00.000Z",
      "source": "Heise Online (DE)"
    },
    {
      "url": "https://technode.com/2026/07/30/chinas-renewable-energy-generation-surpasses-40-of-total-power-output-for-first-time-in-h1-2026",
      "title": "China’s renewable energy generation surpasses 40% of total power output for first time in H1 2026",
      "summary": "According to CCTV News, the National Energy Administration (NEA) held a press conference on Wednesday, announcing that China’s renewable energy sector saw rapid growth in the first half of 2026, with renewable power generation accounting for more than 40% of total electricity generation for the first time. During the first half of the year, China’s […]",
      "authors": "TechNode Feed",
      "category": "news",
      "topics": "environment",
      "published_at": "2026-07-30T04:07:40.000Z",
      "source": "TechNode (CN)"
    },
    {
      "url": "https://www.scmp.com/business/banking-finance/article/3362337/finance-firms-set-pour-more-investment-ai-amid-data-divide-fears",
      "title": "Finance firms set to pour more investment into AI amid ‘data divide’ fears",
      "summary": "A majority of surveyed global asset management firms plan to raise their artificial intelligence budgets by at least 50 per cent within the next year as the technology transforms the finance industry, a recent study showed. The adoption of AI is also going to have a big impact on labour-intensive operations: 62 per cent of polled fund managers expect transformative change in data generation and summarisation, according to a study released Tuesday by US fintech firm Clearwater...",
      "authors": "Dake Liu",
      "category": "news",
      "topics": "jobs-economy,finance-investment",
      "published_at": "2026-07-30T04:00:21.000Z",
      "source": "SCMP Tech (HK/CN)"
    },
    {
      "url": "https://www.ft.com/content/5ac77b70-d057-44d4-b2b3-5eccb0e73484?syn-25a6b1a6=1",
      "title": "AI investment concentration risk is not just in equities",
      "summary": "Bond markets are increasingly dominated by a bet on the same thesis as other asset classes",
      "authors": null,
      "category": "news",
      "topics": "finance-investment",
      "published_at": "2026-07-30T04:00:20.000Z",
      "source": "Financial Times Technology (headlines)"
    },
    {
      "url": "https://www.ft.com/content/db17cde4-eb38-4bac-9413-a3e8ea3a6630?syn-25a6b1a6=1",
      "title": "The UK has worse mobile coverage than Romania. Why?",
      "summary": "Operators blame planning rules and low prices for a lack of investment",
      "authors": null,
      "category": "news",
      "topics": "finance-investment",
      "published_at": "2026-07-30T04:00:20.000Z",
      "source": "Financial Times Technology (headlines)"
    },
    {
      "url": "https://www.ft.com/content/5c2ae092-14af-4bd1-8e3d-8996755cba6a?syn-25a6b1a6=1",
      "title": "CuspAI's Max Welling: ‘We are building molecules to remove forever chemicals from water’",
      "summary": "The co-founder of the UK-based science start-up explains how AI can help create new materials to address some of the world’s most complex challenges",
      "authors": null,
      "category": "news",
      "topics": "environment",
      "published_at": "2026-07-30T04:00:12.000Z",
      "source": "Financial Times Technology (headlines)"
    },
    {
      "url": "https://www.ft.com/content/74b0e527-b549-4c8b-81e9-3649d417a9ff?syn-25a6b1a6=1",
      "title": "Home water harvesting is being supercharged by Nobel Prize-winning tech",
      "summary": "Start-up Ahbstra applies MOF technology to draw moisture from the atmosphere at volume, using minimal energy",
      "authors": null,
      "category": "news",
      "topics": "environment",
      "published_at": "2026-07-30T04:00:11.000Z",
      "source": "Financial Times Technology (headlines)"
    },
    {
      "url": "https://arxiv.org/abs/2607.26062",
      "title": "Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities",
      "summary": "arXiv:2607.26062v1 Announce Type: new Abstract: Background: This work investigates the presence of implicit bias in Large Language Model (LLM)-based chat AI models directed toward people with intellectual disabilities (ID). Objective: The study aims to identify and measure representational differences related to people with ID and examine them to identify implicit biases inherent in AI chat generation technologies. Methods: Utilizing the GPT-4-Turbo model, we requested story-generation based on",
      "authors": "Karly V. Coffey, Gloria L. Krahn, John P. Hanley, Jacob E. Neely",
      "category": "research",
      "topics": "bias-fairness,finance-investment",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26063",
      "title": "Archetypes or ability? Clustering for modelling student mathematical competence",
      "summary": "arXiv:2607.26063v1 Announce Type: new Abstract: Personalised learning systems often assume that mathematical ability is combined of discrete abilities, acquired sequentially and dependent upon first acquiring foundational abilities, and students often report different strengths. In this work, we explore the validity of these assumptions by applying clustering methods to a large dataset of 119,034 students, spanning 13 national-level exams sat in the United Kingdom and collected by the platform.",
      "authors": "Benjamin Mawdsley, Tom Quilter, Richard Turner, Sarah Jackson, Paul Edwards",
      "category": "research",
      "topics": "children-education",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26064",
      "title": "The Age of AI Agents Demands A New Scientific Paradigm To Sustain Trustworthy Science",
      "summary": "arXiv:2607.26064v1 Announce Type: new Abstract: AI systems are becoming autonomous research agents that generate hypotheses, design experiments, and produce discoveries at scales beyond human oversight. As seen by increased submissions to ML venues, the verification gap between scientific output and our ability to check it is already widening, and autonomous agents make it worse by magnitudes given human-agent asymmetry. We argue that science must evolve its verification infrastructure, as it ha",
      "authors": "Belinda Mo",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26067",
      "title": "The Easy Trap: Why LLMs Underestimate Misconception-Driven Difficulty",
      "summary": "arXiv:2607.26067v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for estimating item difficulty in educational assessment. However, it remains unclear whether such estimates reflect how learners actually experience difficulty. This study investigates the alignment between LLM-generated difficulty ratings and empirical student performance on basic mathematics tasks. Four widely used LLM-based systems generated difficulty ratings on a 1-100 scale for 32 arithmetic",
      "authors": "Amanda La Hadi, Muhammad Johan Alibasa, Guanliang Chen, A. Taufiq Asyhari",
      "category": "research",
      "topics": "safety-alignment,children-education,finance-investment",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26069",
      "title": "AI Security Priorities: A Field-Wide Agenda",
      "summary": "arXiv:2607.26069v1 Announce Type: new Abstract: As AI systems are rapidly integrated into critical economic, governmental, and national security functions, the gap between AI adoption and AI security readiness continues to widen. This paper presents a prioritized agenda for advancing AI security, informed by structured interviews with leaders across industry, government, and civil society, and refined through a multi-sector expert workshop. Participants identified and ranked the highest-importan",
      "authors": "Gil Gekker, Rachel Steratore, Everett Smith, Asher Brass-Gershovich, Varun Gandhi, Nicole Nichols, Vijay Bolina, Buck Shlegeris, Lisa Einstein, Dan Lahav, Omer Nevo, Sella Nevo",
      "category": "research",
      "topics": "military-security",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26317",
      "title": "Aligning LLM-Simulated and Human Examinees for Psychometric Calibration: A Cognitive Diagnostic Profiling Approach",
      "summary": "arXiv:2607.26317v1 Announce Type: new Abstract: Psychometric calibration for educational tests typically requires costly human response data. Large language models (LLMs) simulated examinees offer a promising route to early calibration, but their responses are too accurate and too uniform. We propose Cognitive Diagnostic Profiling (CDP), a zero-shot framework that prompts LLMs to simulate plausible examinees with diverse cognitive profiles: binary attribute-mastery patterns are rendered as natur",
      "authors": "Wenjie Zhou, Yunting Liu, Renjiao Tang, Mark Wilson",
      "category": "research",
      "topics": "healthcare",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26387",
      "title": "\"Nobody Did This\": Contribution, Originality, and Accountability in Agent-Mediated Collaboration",
      "summary": "arXiv:2607.26387v1 Announce Type: new Abstract: Collaborative knowledge work is changing in ways that go beyond disclosure or transparency. LLM agents are now embedded in how teams research, design, write, and decide: mediating between members, synthesizing inputs, reformulating ideas, and drafting shared outputs. They do not only facilitate collaboration; they operate within the workflow at the moment contributions are being formed. In doing so, they risk undermining the social conditions under",
      "authors": "Kashif Imteyaz, Mohammad Rashidujjaman Rifat, Divya Ramesh, Steven R. Rick, Simo Hosio, Hauke Sandhaus, Advait Sarkar, Christoph Riedl, Saiph Savage",
      "category": "research",
      "topics": "agents-autonomy,transparency",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.27029",
      "title": "Anticipatory Data Governance in the Age of AI: Emerging Signals in Data Access, Reuse, and Sovereignty",
      "summary": "arXiv:2607.27029v1 Announce Type: new Abstract: This paper reports findings from a structured participatory foresight study comprising two expert forecasting studios convened by The GovLab between 2025 and 2026. The studios brought together nineteen senior practitioners spanning official statistics, digital and trade policy, open science, AI governance, geospatial systems, and public-sector innovation across multiple jurisdictions. Applying a qualitative signal-scanning methodology grounded in t",
      "authors": "Adam Zable, Stefaan Verhulst",
      "category": "research",
      "topics": "regulation",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26068",
      "title": "The Human Utility Factor: A Computable Welfare Metric That Reframes AI Governance as a Constrained Optimisation Problem",
      "summary": "arXiv:2607.26068v1 Announce Type: cross Abstract: Existing AI governance frameworks, including the EU AI Act and NIST AI RMF, address safety, transparency, and accountability but do not operationalize quantitative constraints on macro-socioeconomic stability. As a result, AI systems may satisfy regulatory requirements while contributing to labor displacement, rising inequality, and reduced economic resilience. We introduce the Human Utility Factor (HUF), a differentiable welfare metric that mode",
      "authors": "Sivasathivel Kandasamy",
      "category": "research",
      "topics": "regulation,jobs-economy,transparency",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26121",
      "title": "Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels",
      "summary": "arXiv:2607.26121v1 Announce Type: cross Abstract: Embodied intelligence integrates learned perception and decision making with real-time computation, control, and physical interaction. Because failures can cause immediate physical or operational harm, task completion alone does not establish trustworthiness. We define trustworthy embodied intelligence as the sustained capacity to execute specified tasks reliably under environmental and system variation while maintaining risk within acceptable bo",
      "authors": "Xinyu Yang, Tianxing Chen, Honghao Su, Minxuan Wang, Chenze Yu, Zhangzheng Tu, Yue Chen, Yuxiao Huo, Lingfeng Zhang, Yan Huang, Yan Qin, Shaolong Zhu, Qiwei Liang, Hekun Tian, Shujia Liu, Guangyu Chen, Junhao Gong, Zixuan Li, Wenwei Lin, Zijian Lin, Wenxuan Zhu, Eric J Chen, Yue Yuan, Qize Yu, Jiaqi Liang, Haowen Yan, Hengfei Zhao, Weijie Wan, Zikun Xiao, Junyuan Tang, Baijun Chen, Kai-Chong Lei, Kaixuan Wang, Kailun Su, Zanxin Chen, Yao Mu, Renjing Xu, Chuqiao Lyu, Qi Xiong, Ping Luo, Wenbo Din",
      "category": "research",
      "topics": "environment",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26204",
      "title": "On Exercising Governance Power in Decentralized Autonomous Organizations",
      "summary": "arXiv:2607.26204v1 Announce Type: cross Abstract: A decentralized autonomous organization (DAO) is a governance entity that allows its stakeholders to manage blockchain-based protocols through smart contracts. The DAO explicitly specifies how stakeholders make and enforce decisions concerning a protocol's operation in a smart contract, aptly referred to as its governance contract. The design of this governance contract, therefore, has far-reaching implications for the security (trust) and privac",
      "authors": "Vabuk Pahari, Balakrishnan Chandrasekaran, Johnnatan Messias, Krishna P. Gummadi, Abhisek Dash",
      "category": "research",
      "topics": "regulation",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26313",
      "title": "SARC-DQ: Runtime Data-Quality Gating for Agentic AI: Silent Evidence Defects, the Incompetence Shield, and Downstream-Only Remediation",
      "summary": "arXiv:2607.26313v1 Announce Type: cross Abstract: Agentic systems act, so a defect in the evidence they retrieve becomes a wrong action with a currency cost. The most dangerous enterprise defects are metadata-borne: a stale price or a superseded record, perfectly well-formed in the payload and betrayed only by freshness, lineage, or provenance. Such a defect never enters the agent's context, and an agent cannot doubt data it cannot see. On a priced replenishment benchmark, a competent agent sile",
      "authors": "Gaston Besanson",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26348",
      "title": "When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses",
      "summary": "arXiv:2607.26348v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as synthetic users, stand-ins for human respondents whose simulated answers feed product, policy, and market decisions. We ask when this substitution is valid and when it fails, and package the answer as an evaluation framework for intelligent synthetic-user systems. A single protocol, run across four models spanning two families and an 8B-to-frontier capability range, is applied to two independe",
      "authors": "Zihan Chen, Di Zhu, Lei Nico Zheng",
      "category": "research",
      "topics": "regulation",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26654",
      "title": "Constitutional Midtraining: Content Presence Drives Alignment Gains",
      "summary": "arXiv:2607.26654v1 Announce Type: cross Abstract: Post-training alignment is often shallow, eroding under fine-tuning. Whether midtraining interventions, cleanly isolated from post-training, can produce durable alignment remains untested. We test this via constitutional midtraining: inserting principled, values-based content into midtraining against a replay-only control at 120B scale. Our 394M-token constitutional corpus, built from Anthropic's Constitution, uses a 2x2 factorial design (curricu",
      "authors": "Desiree Cho, Cameron Tice, Bernie Hogan, Hunar Batra, Puria Radmard, Jun Zhao, Nigel Shadbolt",
      "category": "research",
      "topics": "safety-alignment",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.26886",
      "title": "Hearsay: Vision-Language Medical Diagnoses Without an Image",
      "summary": "arXiv:2607.26886v1 Announce Type: cross Abstract: When asked to describe a medical image that was never attached, frontier vision-language models do not abstain: they confabulate a diagnosis. We show that this confabulation is not random. It is structured by who the patient is said to be. Across chest X-ray, brain MRI, and dermatology, Claude Opus-4.7, GPT-5.4, and Gemini-3.1-Pro are each queried with only a demographic descriptor and no image, and changing the descriptor systematically shifts t",
      "authors": "Siddharth Vohra",
      "category": "research",
      "topics": "healthcare",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2607.27191",
      "title": "Can AI agents conduct open-ended AI research? Early evidence from two case studies",
      "summary": "arXiv:2607.27191v1 Announce Type: cross Abstract: Forecasts of explosive AI progress hinge on AI agents automating AI research. But evidence on whether agents can carry out open-ended AI research is thin. Current evaluations either test agents on narrow, verifiable tasks, which excludes open-ended research, or submit AI-generated papers to blind peer review, which is overstretched, stochastic, and suffers from poor review quality. We introduce a third way to measure progress towards AI R\\&D auto",
      "authors": "Peter Kirgis, Sayash Kapoor, Andrew Schwartz, Stephan Rabanser, David Africa, Konstantinos Voudouris, Viet Nguyen, Toby Pilditch, Magda Dubois, Harry Coppock, Cozmin Ududec, Nitya Nadgir, Matilda Orona, Tilman Bayer, Derrick Chan-Sew, Yue Ling, Abhishek Shetty, Helen Toner, Gillian Hadfield, Seth Lazar, Steve Newman, Shoshannah Tekofsky, Rishi Bommasani, Arvind Narayanan",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2604.24155",
      "title": "The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers",
      "summary": "arXiv:2604.24155v4 Announce Type: replace Abstract: The project of aligning machine behavior with human values raises a basic problem: whose moral expectations should guide AI decision-making? Much alignment research assumes that the appropriate benchmark is how humans themselves would act in a given situation. Studies of agent-type value forks challenge this assumption by showing that people do not always judge humans and AI systems identically. This paper extends that challenge by examining tw",
      "authors": "Benjamin Minhao Chen, Xinyu Xie",
      "category": "research",
      "topics": "safety-alignment,agents-autonomy",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2502.10605",
      "title": "Optimal Causal Annotations: An Application to Casenotes in Social Services",
      "summary": "arXiv:2502.10605v4 Announce Type: replace-cross Abstract: Problem definition: Estimating causal effects of interventions is central to policy and operations, but outcome data are often missing or costly to obtain. LLMs can provide text annotation at scale but may be subject to unknown bias. When ground-truth outcomes require expensive expert labeling or follow-up, budget limits typically allow only a fraction of the data to be labeled. Motivated by collaboration with a nonprofit conducting stree",
      "authors": "Ezinne Nwankwo, Lauri Goldkind, Angela Zhou",
      "category": "research",
      "topics": "bias-fairness,regulation",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2503.10647",
      "title": "The Reliability of LLMs for Medical Diagnosis: An Examination of Consistency, Manipulation, and Contextual Awareness",
      "summary": "arXiv:2503.10647v2 Announce Type: replace-cross Abstract: This study evaluated the diagnostic reliability of two Large Language Models (LLMs), Google Gemini 2.0 Flash and OpenAI ChatGPT-4o, across three dimensions: consistency under rephrased inputs, susceptibility to irrelevant prompt content, and responsiveness to added clinical context. We designed 52 clinical scenarios and modified each under controlled conditions. For consistency, scenarios were rephrased with demographic, wording, and exam",
      "authors": "Krishna Subedi",
      "category": "research",
      "topics": "healthcare",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2507.04398",
      "title": "The Agency Gap in AI-Supported Writing: How Reactive and Proactive Agent Designs Shape Multimodal Reasoning",
      "summary": "arXiv:2507.04398v3 Announce Type: replace-cross Abstract: Generative AI is becoming part of academic writing, but its educational value depends on how control is shared between learner and system. This study examined an agency gap: performance differences that may arise when AI agent initiative is misaligned with learners' generative AI literacy. Seventy-nine medical and nursing students completed two multimodal analytical writing tasks using healthcare simulation data visualisations. They were",
      "authors": "Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Ga\\v{s}evi\\'c, Lixiang Yan",
      "category": "research",
      "topics": "safety-alignment,healthcare,children-education,agents-autonomy",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://arxiv.org/abs/2512.18072",
      "title": "Statistical laws and linguistics differ in naturalistic video and fictional conversations",
      "summary": "arXiv:2512.18072v3 Announce Type: replace-cross Abstract: Conversation is a cornerstone of social connection and is linked to well-being outcomes. Conversations vary widely in type with some portion generating complex, dynamic stories. One approach to studying how conversations unfold in time is through statistical patterns such as Heaps' law, which holds that vocabulary size scales with document length. Little work on Heaps' law has looked at conversation and considered how language features im",
      "authors": "Ashley M. A. Fehr, Calla G. Beauregard, Julia Witte Zimmerman, Katie Ekstr\\\"om, Pablo Rosillo-Rodes, Christopher M. Danforth, Peter Sheridan Dodds",
      "category": "research",
      "topics": "regulation",
      "published_at": "2026-07-30T04:00:00.000Z",
      "source": "arXiv cs.CY"
    },
    {
      "url": "https://www.medianama.com/2026/07/223-final-call-age-verification-social-media-children-delhi-31-july",
      "title": "Final Call: Age Verification and Restricting Social Media for Children, Delhi, 31 July #NAMA",
      "summary": "Join experts at MediaNama event to discuss age verification, social media restrictions for children, platform design, privacy, online safety, and practical regulatory approaches. The post Final Call: Age Verification and Restricting Social Media for Children, Delhi, 31 July #NAMA appeared first on MEDIANAMA .",
      "authors": "Prabhanu Kumar Das",
      "category": "news",
      "topics": "regulation,privacy-surveillance,children-education",
      "published_at": "2026-07-30T03:50:40.000Z",
      "source": "MediaNama (IN)"
    },
    {
      "url": "https://www.ft.com/content/280336bf-dbed-405f-b38e-5af644a21549?syn-25a6b1a6=1",
      "title": "Leopold Aschenbrenner’s Situational Awareness seeks to raise capital after AI rout",
      "summary": "Hedge fund has held talks with existing investors and lenders in recent days",
      "authors": null,
      "category": "news",
      "topics": "finance-investment",
      "published_at": "2026-07-30T03:28:38.000Z",
      "source": "Financial Times Technology (headlines)"
    },
    {
      "url": "https://variety.com/2026/film/news/joyce-carol-oates-the-odyssey-slams-translator-review-1236823922",
      "title": "Joyce Carol Oates Defends ‘The Odyssey’ and Slams Translator for Scathing Review: ‘Speaks in the Crude Language of MAGA Folks’",
      "summary": "Author Joyce Carol Oates came to the defense of Christopher Nolan’s “The Odyssey” after translator Emily Wilson wrote a viral review attacking the film. “Rather than disagreeing with interpretations of Homer in a collegial manner, this person, who has benefited enormously from Nolan’s film, speaks in the crude language of MAGA folks attacking someone with […]",
      "authors": "Jack Dunn",
      "category": "news",
      "topics": "military-security",
      "published_at": "2026-07-30T03:00:24.000Z",
      "source": "Variety (AI)"
    },
    {
      "url": "https://www.cnbc.com/2026/07/30/china-us-robot-humanoid-ban-trump-visit.html",
      "title": "China threatens retaliation against U.S. humanoid robot ban, says it 'severely damages' relations",
      "summary": "China's Commerce Ministry said Thursday the U.S. Federal Communications Commission has repeatedly ignored Beijing's restrained stance.",
      "authors": null,
      "category": "news",
      "topics": "agents-autonomy",
      "published_at": "2026-07-30T02:52:30.000Z",
      "source": "CNBC Technology"
    },
    {
      "url": "https://www.cnbc.com/2026/07/29/zuckerberg-metas-ai-capacity-dilemma-what-to-sell-vs-what-to-keep.html",
      "title": "Zuckerberg lays out Meta's AI capacity dilemma: What to sell vs. what to keep",
      "summary": "For investors anxious to hear more about Meta's plans to make money from its big AI spending, Mark Zuckerberg said there's a trade-off.",
      "authors": null,
      "category": "news",
      "topics": "finance-investment",
      "published_at": "2026-07-30T00:58:44.000Z",
      "source": "CNBC Technology"
    },
    {
      "url": "https://www.hollywoodreporter.com/lifestyle/lifestyle-news/justin-bieber-performance-world-cup-final-sneakers-auction-1236659414",
      "title": "Justin Bieber’s Sneakers Worn During World Cup Final Performance Sold at Auction for Almost $30K",
      "summary": "Christie's auction house handled the One Goal auction, which benefits the FIFA Global Citizen Education Fund, a $100 million initiative to expand access to quality education and football for children worldwide.",
      "authors": "Chris Gardner",
      "category": "news",
      "topics": "children-education",
      "published_at": "2026-07-30T00:37:17.000Z",
      "source": "Hollywood Reporter (AI/entertainment)"
    },
    {
      "url": "https://www.cnbc.com/2026/07/29/spacex-memphis-ai-data-centers-face-house-energy-committee-demands.html",
      "title": "SpaceX faces House Energy Committee demand to tour its AI data centers in Memphis",
      "summary": "The ranking member of the House Committee on Energy is demanding SpaceX records and a tour of its data centers and power plants in and around Memphis.",
      "authors": null,
      "category": "news",
      "topics": "environment",
      "published_at": "2026-07-30T00:11:50.000Z",
      "source": "CNBC Technology"
    },
    {
      "url": "https://www.theguardian.com/technology/2026/jul/29/xai-sues-minnesota-nudification-technology",
      "title": "Elon Musk’s xAI sues Minnesota over law banning ‘nudification’ technology",
      "summary": "First-in-nation law sets up test on states’ power to regulate use of AI as it tries to outlaw fake nude images of real people Elon Musk’s company xAI has sued Minnesota over the state’s first-in-the-nation law banning “nudification” technology on websites and apps, potentially providing a test for how far states can go in constitutionally regulating the use of artificial intelligence. Musk’s company sued on Monday in federal court, days before the law is set to take effect on Saturday and make M",
      "authors": "Associated Press",
      "category": "news",
      "topics": "regulation",
      "published_at": "2026-07-30T00:02:03.000Z",
      "source": "The Guardian"
    },
    {
      "url": "https://www.finextra.com/newsarticle/48166/freehand-raises-75m-for-ai-agents-that-manage-supply-chain-spend",
      "title": "Freehand raises $75m for AI agents that manage supply chain spend",
      "summary": "Freehand, a startup building AI agents that manage supply-chain spend for giants including Meta and Pfizer, has raised $75 million in funding.",
      "authors": null,
      "category": "news",
      "topics": "agents-autonomy",
      "published_at": "2026-07-30T00:01:00.000Z",
      "source": "Finextra AI"
    },
    {
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1836165",
      "title": "Feedback modalities in human-cobot collaboration: experimental evaluation of performance, user experience, and physiological responses",
      "summary": "Collaborative robots (cobots) are increasingly deployed in industrial as well as non-industrial domains to support human-centered operation. While physical safety and task efficiency have received considerable attention, less is known about how feedback modality influences operator experience and physiological responses under different collaboration demands. This study examines the effects of feedback modalities in two human–cobot collaboration scenarios representing distinct coordination struct",
      "authors": "Amir Biton",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-30T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI"
    },
    {
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1883320",
      "title": "Object-grounded embodied picking for e-commerce warehouse fulfillment: a foveated diffusion policy for operational robustness",
      "summary": "Embodied picking for e-commerce fulfillment remains vulnerable to dense clutter, reflective packaging, and background variation, which can undermine the effectiveness and robustness of visuomotor policies learned from demonstrations. A key limitation is the absence of explicit object grounding, causing policies to exploit spurious contextual cues rather than task-relevant visual evidence. To address this issue, we propose the Foveated Diffusion Policy (FDP), which integrates object-centric visua",
      "authors": "Chaoqun Li",
      "category": "research",
      "topics": "regulation",
      "published_at": "2026-07-30T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI"
    },
    {
      "url": "https://www.ft.com/content/06d941ed-8136-46a4-a2ec-44bea1b35c3b?syn-25a6b1a6=1",
      "title": "Meta shares tumble as Zuckerberg tries to sell his vision for AI ‘agents’",
      "summary": "Social media chief defends strategy based on personalised bots as costs rise and revenue projections disappoint",
      "authors": null,
      "category": "news",
      "topics": "agents-autonomy",
      "published_at": "2026-07-29T23:59:51.000Z",
      "source": "Financial Times Technology (headlines)"
    },
    {
      "url": "https://www.nextgov.com/artificial-intelligence/2026/07/white-houses-new-high-risk-life-sciences-policy-calls-monitoring-ai-dangers/415108",
      "title": "White House’s new high-risk life sciences policy calls for monitoring AI dangers",
      "summary": "“The White House Office of Science and Technology Policy (OSTP) will convene an interagency group to monitor advancements at the intersection of biological sciences and artificial intelligence, including in silico life sciences research,” the guidance says.",
      "authors": "Edward Graham",
      "category": "news",
      "topics": "regulation,biotech",
      "published_at": "2026-07-29T23:42:00.000Z",
      "source": "NextGov/FCW"
    },
    {
      "url": "https://www.hollywoodreporter.com/business/business-news/cupertino-cbs-show-production-assistants-unionize-1236659649",
      "title": "Production Assistants on CBS’ ‘Cupertino’ Vote to Unionize",
      "summary": "The New Jersey-based workers unanimously declared their support for joining LiUNA Local 724 in the labor group’s first victory on a CBS Studios series.",
      "authors": "Katie Kilkenny",
      "category": "news",
      "topics": "jobs-economy",
      "published_at": "2026-07-29T23:30:22.000Z",
      "source": "Hollywood Reporter (AI/entertainment)"
    },
    {
      "url": "https://www.ft.com/content/e18c380f-c25d-4e91-8135-d9c2424ab720?syn-25a6b1a6=1",
      "title": "Digital avatar of Jair Bolsonaro tests Brazil’s AI election rules",
      "summary": "Lawyers for former president insist he did not authorise the projection following legal challenge from leftwing groups",
      "authors": null,
      "category": "news",
      "topics": "misinformation",
      "published_at": "2026-07-29T23:26:19.000Z",
      "source": "Financial Times Technology (headlines)"
    },
    {
      "url": "https://www.cnbc.com/2026/07/29/openai-cfo-sarah-friar-tells-employees-arr-in-july-topped-all-of-q2.html",
      "title": "OpenAI CFO Sarah Friar tells employees that annualized revenue in July topped all of Q2",
      "summary": "OpenAI is trying to reassure employees that the business is healthy as competition emerges from Anthropic as well as a host of open-source players.",
      "authors": null,
      "category": "news",
      "topics": "healthcare",
      "published_at": "2026-07-29T23:09:42.000Z",
      "source": "CNBC Technology"
    },
    {
      "url": "https://statescoop.com/k12-cyber-information-exchange-incident-catalog-cisa",
      "title": "K-12 cyber information exchange, incident catalog would be directed by CISA under new legislative proposal",
      "summary": "The Enhancing K-12 Cybersecurity Act failed to pass in 2023. Sens. Mark Warner and Marsha Blackburn said their bill is urgently needed in 2026.",
      "authors": "Colin Wood",
      "category": "news",
      "topics": "regulation,military-security",
      "published_at": "2026-07-29T23:06:49.000Z",
      "source": "StateScoop"
    }
  ],
  "attribution": "via ethics.ai"
}