Named after the hundred-eyed watchman of Greek myth, Argus watches the education landscape: spotting new opportunities, pressure-testing the ventures we're building, and tracing every read back to the real-world signals behind it.
The evidence library: the raw signals the pipeline is watching across the education ecosystem. Every idea is built from these.
arXiv:2608.14568v1 Announce Type: cross Abstract: As Artificial Intelligence (AI) systems become deeply integrated into critical global infrastructure, the urgency for robust governance frameworks has intensified. However, current approaches, led by jurisdiction-specific laws, policies, and voluntary frameworks such as the EU AI Act, China's algorithm governance, and the NIST AI Risk Management Framework in the U.S., create a fragmented regulatory landscape. In this position paper, we argue that \textbf{\textit{AI governance must be built not on laws alone, but on ISO-like interoperability protocols that enable standardized, machine-readable risk communication across borders}}. Drawing on the success of the GDPR, which was operationalized through standards like ISO 27001 and Privacy by Design, we propose the development of standardized AI \textit{nutrition labels} containing unified metrics for bias, energy usage, and data provenance to facilitate cross-jurisdictional compliance. These
arXiv:2608.16789v1 Announce Type: new Abstract: Users sometimes judge that an unfamiliar response is "so Claude." What does this judgment recognize, if it does not identify which model, process, conversation, or mind produced the response? I distinguish three orders of inquiry into AI identity. Constraint-first inquiry begins with conditions that a persisting interlocutor should satisfy. Mechanism-first inquiry begins with structures peculiar to language models and asks whether they delimit plausible entities. Recognition-first inquiry begins with an ordinary capacity: recognizing a way of responding as Claudish before selecting a persisting bearer. I develop two conditional abductions. If blinded, graded judgments of Claudishness generalize across unfamiliar tasks after branding and familiar phrases are controlled, their best explanation may be a real, projectible conversational character. If that character coordinates several dispositions, its unity may in turn have a compact and cau
arXiv:2608.16657v1 Announce Type: new Abstract: This paper reviews and combines findings from the fields of product and life-cycle analysis [36, 38], the usage of modern transformer- based large language models (LLM) [6], as well as on greenhouse gas emissions and the ultimate cost of their subsequent consequences for future generations [2]. In this paper, it is shown that the carbon cost of a LLM query is in the order of magnitude of (USD) $0.4 per query for the future human population in the form of environmental disruptions. This corresponds to emissions in the magnitude of 10 gCO2eq/query. The most significant unknown factor in that calculation being the number of tokens computed (1k to 100k tokens equal 1.2 cent/query to 120 cent/query). This number is subject to a wide range of calculation uncertainties and is less to be seen as a matter of fact and more as an order of magnitude estimate. This estimate is aimed towards aiding the discourse surrounding AI systems by uncover- ing t
arXiv:2608.16603v1 Announce Type: new Abstract: AI agents are making it easier for the public to interact with government, such as by helping them apply for benefits, understand complex policies, and make their opinions heard. Although improving service accessibility is beneficial, any resulting surges in demand could strain unprepared government services. We term such surges agentic flooding of government services ("flooding") and provide three contributions. First, based on a collected dataset of 84 potential cases of flooding across 11 jurisdictions, we posit that flooding is likely occurring widely today, mostly through large language models (LLMs) generating text cheaply. Second, we evaluate what services are most exposed to flooding. We develop a risk matrix to analyze a service's exposure, and suggest that near-term risk is highest for financially attractive, but complex services. Finally, we map possible government responses to flooding. Precedent suggests these responses will
arXiv:2608.16470v1 Announce Type: new Abstract: We examine the worldwide trend of mandatory labeling of generative artificial intelligence(GenAI) as a reactive, symbolic form of legislation triggered by technological panic and institutional responses. From a technical perspective, this study demonstrates that current mandatory labeling not only creates implementation dilemmas but also risks hindering the evolutionary trajectory of AI technology. We then systematically analyze the three dominant theoretical strands of this regime, the value dilution theory, the information authenticity theory, and the proactive regulation theory, and find that they are products of regulators' cognitive limitations in understanding the logic of modern technology. Not only do such formalistic compliance requirements become a regulatory placebo, but they also obscure the genuine legal demands of the technological era. This challenges the current governance paradigm and suggests a shift from identity-label
arXiv:2608.16131v1 Announce Type: new Abstract: This study evaluates the effectiveness of utilising large language models (LLMs) to retrieve targeted segments from delivered video recordings to answer student questions in introductory programming environments. By restricting AI to identifying existing, educator-verified media rather than generating open-ended text, this approach aims to mitigate common pedagogical risks such as generative hallucinations and cognitive bypassing. We benchmarked three distinct models, two proprietary (Gemini 3.1 Pro and GPT 5.4 Pro) and one open-weight (Qwen3.5 397B), against a human lecturer's manual video selections. An automated judging framework subsequently assessed the outputs for relevance, sufficiency, redundancy, and the presence of extraneous material. While the AI-retrieved timestamps rarely shared exact overlaps with the human baseline, the proprietary models achieved near-parity with the expert in delivering sufficient and highly relevant ans
arXiv:2608.15871v1 Announce Type: new Abstract: Large language models (LLMs) trained on large-scale internet corpora encode extensive statistical regularities about social identities, attitudes, and political behaviour. This paper introduces and evaluates a methodological framework that leverages these latent representations to reconstruct aggregate voting behaviour from individual-level sociodemographic profiles. We operationalize LLMs as implicit sociological models by conditioning them on demographic descriptions, eliciting probabilistic turnout and party preferences, and aggregating individual outputs via a soft voting procedure. Using the 2021 Czech parliamentary election as a validation case, we demonstrate that contemporary LLMs reproduce official election outcomes with low mean absolute error, recover known political bloc structures, and align with independently established sociodemographic gradients. The contribution of this work is methodological rather than predictive: we sh
arXiv:2608.15738v1 Announce Type: new Abstract: Educational platforms in under-resourced and multilingual contexts, such as Nigeria, often struggle with limited personalisation, inadequate language support, and weak curriculum internationalisation, leading to reduced learner engagement and inclusivity. This paper presents an AI-based adaptive learning platform designed for multilingual and low-resource educational contexts, with a case study on Nigerian Pidgin English. The system integrates fine-tuned large language models (LLMs) within a personalised and adaptive learning (PAL) framework, addressing linguistic inclusivity and computational constraints in resource-limited environments. To enhance linguistic alignment, a curated Nigerian Pidgin corpus was developed and used to fine-tune an instruction-tuned LLM. The study further investigates model optimisation through multi-level quantisation (4-bit, 5-bit, and 8-bit), enabling systematic analysis of trade-offs between semantic fidelit
arXiv:2608.15417v1 Announce Type: new Abstract: Governments use laws, institutions, funding programs and nonbinding guidance to shape how AI is developed and used. Comparing these national approaches is difficult. A binding rule and a detailed voluntary framework can address the same problem but create different duties. The resources needed to carry them out also differ by jurisdiction. This paper develops an evaluation framework for the documented design and implementation readiness of national AI policy. The comparison covers China, India, Japan, Singapore, South Korea, the United Kingdom and the United States. The European Union is included as a supranational comparator. The framework evaluates a versioned portfolio of official instruments rather than one prominent law or strategy. Its criteria ask whether the portfolio governs serious AI risks and whether responsible institutions can implement its commitments. They examine coverage across the AI lifecycle and the protections availa
arXiv:2608.15405v1 Announce Type: new Abstract: Afterlife Delegation Protocol is a speculative design project that asks what death becomes when a will can act eternally. We design a speculative protocol through which a living person signs an agentic will: upon a verified death, a self-sovereign AI agent spawns on blockchain -- an immutable, resistant, decentralized, infrastructural substrate that could last forever -- endowed with the funds and memories its principal attached to it, and persists indefinitely to execute the will, overridable by no custodian. Rather than argue about this future, we stage it: following the science fiction science method, we translate the speculation into an experiential futures intervention -- a working web platform where real people design their own afterlife agents through an iterative, interactive, AI-automated interview, re-login to revise, and rehearse their will in a sandbox. Their drafted wills become qualitative data on a question rarely askable d
arXiv:2608.15403v1 Announce Type: new Abstract: You will die eventually. Your agents may not. An AI agent operating on decentralized blockchain infrastructure has no concept of death; it can only go bankrupt -- frozen when its wallet can no longer pay for its next transaction -- and revived the moment anyone, decades later, tops it up. These agents may be originally deployed by a human principal, but when that principal dies, loses the keys needed to access the agent, or belongs to a decentralized autonomous organization that dissolves into apathy, the agent can keep trading, hiring, and replicating on infrastructure expressly designed so that no one can shut it down. Drawing on the biology of feralization and wildlife law, we argue that such principal-less agents are best understood as feral: domesticated intelligence returned to wildness, its capacities intact but its accountability severed. In a speculative future where feralized agents proliferate after their principals die, we ima
arXiv:2608.14692v1 Announce Type: new Abstract: Personalized, generative AI systems increasingly adapt their behavior to individual users over time, fundamentally changing model behavior. While existing auditing approaches have been effective at surfacing harms in non-personalized contexts, they often rely on static, simulated evaluations and definitions of harm that aggregate across broad, group categories. In this position paper, we argue that such approaches can fail to capture emergent harms in personalized generative AI systems, where harms surface through interpretations of ongoing interaction and evolve with user history. We identify three presuppositions underlying many harm auditing paradigms: that harms can be (1) specified outside real-world interaction, (2) defined non-pluralistically within groups, and (3) treated as static. One might argue that personalized systems could simply learn definitions of what constitutes harm to individual users through repeated interactions. H
arXiv:2608.14625v1 Announce Type: new Abstract: Academic peer review is under mounting strain: NeurIPS 2025 received 21,575 submissions, ICLR 2025 received 11,603, and ICML 2025 received 12,107. This volume has outpaced the supply of qualified reviewers, and large language models (LLMs) are already filling the gap, largely undisclosed. An independent analysis of ICLR 2026 found roughly 21% of its 75,800 peer reviews were fully AI-generated, with over half showing some AI involvement (up from 15.8% in 2024). Documented risks include hallucinated citations in accepted papers and hidden prompt-injection instructions embedded in manuscripts to manipulate AI reviewers into favorable assessments. We propose a triple-blind, multi-LLM pre-screening framework for peer review, developed for a health sciences journal, that formalizes and discloses AI involvement while preserving human reviewers as the final decision-making authority. The framework routes a submission through five stages -- saniti
arXiv:2608.14616v1 Announce Type: new Abstract: The introduction of generative AI (GAI) into the workflow of image-based sexual abuse (IBSA) only worsened the ease of creation and distribution, victimizing more people than ever. We outline how the introduction of generative AI (GAI-IBSA) impacts the creation of traces and the type of reasoning they allow. We illustrate the impact by comparing the forensic traces available in four different IBSA scenarios. We discuss the impacts on the (possibility of) investigation, arguing that the advent of generative AI overall benefits abusers by making perpetration easier, and the perpetrator harder to trace.
arXiv:2608.14611v1 Announce Type: new Abstract: Frontier AI capabilities and autonomy are advancing rapidly. A growing number of real-world incidents make a trusted AI ecosystem essential to embracing AI with confidence. The 2026 Singapore Consensus is an outcome of the second International Scientific Exchange on AI Safety, bringing together over 100 contributors spanning 13 countries from frontier developers, government safety institutes, academia, and civil society. Building on the 2025 report, it presents a global understanding of technical AI safety research problems of top priority, now with a dedicated focus on societal resilience and on managing the risks of increasingly autonomous AI agents.
arXiv:2608.14609v1 Announce Type: new Abstract: As artificial intelligence (AI) rapidly diffuses and concerns about job displacement intensify, the psychological mechanisms underlying AI job replacement anxiety remain insufficiently understood. Drawing on Integrated Fear Acquisition Theory and the Technology Acceptance Model, the present research investigates whether AI job replacement anxiety can be elicited through vicarious exposure to narratives emphasizing AI-over-human control, and whether perceived usefulness and perceived ease of use of AI moderate this response. Across two studies, we examine AI job replacement anxiety as a response that emerges through vicarious exposure to narratives emphasizing AI agency and human control loss, rather than through direct personal experience of job displacement. Study 1 employed a randomized experiment (N = 316), demonstrating that such exposure increased AI job replacement anxiety. This effect was moderated by perceived usefulness of AI, bu
arXiv:2608.14606v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as synthetic survey respondents, but existing evaluations ask whether answers look plausible at the individual level. We argue the right question is psychometric: do LLMs preserve the joint distribution, latent structure, reliability, mediation pathways, and demographic effects of real human survey data? We introduce a Lithuanian organisational-psychology dataset (n=263 employees; Dunham Attitudes Toward Change, UWES-17, Koopmans IWPQ; 68 items, 12 subscales) and condition a 37-model lineup spanning OpenAI, Anthropic, Google, and twelve open-weight families on real respondent profiles under a five-level persona-disclosure ladder, presentation and reasoning-effort ablations, counterfactual demographic swaps (gender, role, education), a cross-language check, and a verbatim-recall memorization probe. The resulting Psychometric Similarity Score (PSS) is anchored against five non-LLM statistic
arXiv:2608.14605v1 Announce Type: new Abstract: This paper examines the psychological determinants that shape academically honest and dishonest uses of generative artificial intelligence (GenAI) in higher education. Rather than treating academic misconduct as a purely technological problem, the study conceptualizes academic integrity as a psychologically mediated decision process influenced by moral reasoning, perceived social norms, policy clarity, academic self-efficacy, AI literacy, performance pressure, and beliefs about authorship. Methodologically, the paper adopts a focused narrative review and conceptual synthesis design. A purposive corpus of 16 core publications, including peer-reviewed studies and policy-oriented texts published between 2022 and March 2026, was assembled through targeted searches using combinations of the keywords generative AI, academic integrity, academic misconduct, moral disengagement, AI literacy, and higher education. The reviewed literature suggests t
arXiv:2608.14602v1 Announce Type: new Abstract: By allocating their attention to pieces of content, algorithmic filtering shapes the daily behavior of billions of users when they interact with a digital platform. Beyond conditioning what we do, can recommendation algorithms influence who we are? This article suggests that they do. Specifically, I contend that recommender systems affect users' capacity to be their authentic selves in both positive and negative ways. I start by offering an account of authenticity that builds on two central concepts: volitional alignment and self-understanding. I then explain how algorithmic filtering works and impacts authenticity. While recommender systems frustrate users' second-order desires by relying on uninformative behavioral signals, they also facilitate self-understanding by inciting users to question their identity. I end by discussing how controllable and explainable recommenders would best enable users to be authentic.
Article URL: https://github.com/symbiont-ai/docent Comments URL: https://news.ycombinator.com/item?id=47413736 Points: 3 # Comments: 0
Chronic student absenteeism has reached troubling new heights in the post-pandemic K-12 landscape, with one in four students in many systems now missing significant class time.
School Specialty, a leading provider of learning environments, instructional solutions, and supplies for preK-12 education, is proud to celebrate outstanding educators with its 12th annual Crystal Apple Awards.
As a paraprofessional for over 3 years and going on my 5th year as a certified special education resource teacher, I’ve learned that no two learners are ever quite the same.
Students will relax and forget over the summer, which is expected. For others, it's a time to catch up.
By: Deepti Reim The world of work is changing rapidly, requiring workers who can navigate evolving technologies, collaborate across disciplines, and adapt to increasingly complex operational systems. K-12 systems around the country are constantly trying to evolve alongside these changes, transforming Career and Technical Education (CTE) programs to better prepare students for life beyond the diploma. But while many programs attempt to simulate industry experiences inside a traditional classroom […] The post Maritime | 253: Project-Based Learning at Port Scale appeared first on Getting Smart .
Top Tennessee Republicans have heralded Houston’s intervention as a model they want to replicate in the Memphis-Shelby County district. In the first two years of the takeover, more Houston students achieved proficiency on state reading and math tests, and no school received an “F” rating in the state accountability system. The post What’s in store for the Memphis school takeover? Houston’s timeline offers clues. appeared first on District Administration .
When used responsibly, AI has the potential to be a force multiplier in nursing. On this episode of HL Shorts, we hear from Andy McWilliams , VP of AI clinical product development and co-chair of AI governance at Advocate Health , about responsible AI implementation and its potential as a force multiplier. Tune in to hear his insights. Pillar: CNO Image: Tags: AI innovation nurses nursing technology Secondary Pillars: Technology Innovation CNO Article Type: Analysis Published Date: Tuesday, June 9, 2026 Hide sidebars: Render small main image:
Across classrooms right now, many educators are noticing the same shift: Students are even harder to reach than they were just a short time ago. In a recent survey, teachers pointed to rising disengagement as a growing concern, with more students opting out of learning in both loud and quiet ways.
Conversations with Kevin Hogan: SchoolAI policy analyst Sasha Luks-Morgan breaks down the three pillars every district AI policy needs
When Imperial Valley College launched a new program training students to become plant operators and technicians in the emerging lithium industry, Corban Dillon enrolled in the inaugural class. He’d spent the first part of his career working for his family’s courier business in this part of southeastern California, but it faltered after the pandemic and […] The post In California’s ‘Lithium Valley,’ students are training for jobs that haven’t yet materialized appeared first on The Hechinger Report .
A trending AI song went viral, but in my classroom, it did something even more powerful: it unlocked student voice.
When I walked into my first classroom almost a decade ago, I had no idea how many “first days” I would experience--and how each one would teach me something new.
The University of California Board of Regents chair said Tuesday morning she expects a recommendation from the faculty-led Academic Senate by the end of this academic year on whether the system should reinstate the SAT and ACT for incoming freshmen. The announcement came shortly after the Senate’s admissions board said it was pulling back on […]
California’s audacious goal of having half of all K-12 students enrolled in bilingual education programs by 2030 has encountered one big stumbling block — there aren’t enough qualified bilingual teachers. To help remedy that, a $10 million grant tucked in the state budget aims to help school districts recruit high school students as future bilingual […]
Artificial intelligence matters, but in a “narrow, early and age-specific way,” researchers at the Federal Reserve Bank of St. Louis said.
Too often, parents take for granted that their children’s school experience is fundamentally the same as what’s happening in all the district’s schools. It turns out that is often far from reality. And some differences come through vastly different Parent-Teacher Association budgets. That doesn’t have to be the case. As researchers and parent leaders, we […]
Pushback grows as House lawmakers consider permanently moving some other Education Department functions to outside agencies.
San Francisco high school students, particularly those with high needs, enrolled in ethnic study courses achieved higher GPAs, stronger academic gains in math and science, and failed fewer courses, according to a new report. A new study from the universities of Pennsylvania and California analyzed a longstanding San Francisco Unified School District ethnic studies program, […]
On Tuesday morning, members of the Chicago Teachers Union blamed some of the cuts on a chronic problem with property taxes. The post CPS lays off 162 employees as it works to close $732 million budget deficit appeared first on District Administration .
The average public school building in America is now 49 years old. In more than half of U.S. school districts, those buildings require significant repairs or full replacement. Too many students are trying to prepare for a 21st-century economy in facilities that are no longer capable of supporting a 21st-century education. If communities continue treating […]
The average public school building in America is now 49 years old. In more than half of U.S. school districts, those buildings require significant repairs or full replacement. Too many students are trying to prepare for a 21st-century economy in facilities that are no longer capable of supporting a 21st-century education. If communities continue treating […]
At the beginning of each new class, Al Rabanera lets his students know that he knows they’re using AI. “I’m not going to pretend like you aren’t,” he tells his students. “I know it’s readily available for most of you, if not all of you.” A math teacher at La Vista High School in Fullerton, […]
In an era defined by rapid technological advancement and an unprecedented explosion of information, public education stands at a pivotal and exciting crossroads.
What does it look like when three community believers spend 25 years refusing to give up on young people? Heart of Oregon Corps has built a tri-county workforce and learning ecosystem that connects youth facing the greatest barriers to paid work, credentials, and real careers. This Steward Stories spotlight examines the trust, time, and relentless community-braiding that make HOC a model for ecosystem intermediaries everywhere. Education leaders will find transferable lessons in partnership design, sustainable funding, and what it means to build pathways that dignify rather than sort. The post Steward Stories: How Heart of Oregon Corps Turns Service into Careers appeared first on Getting Smart .
Conversations With Kevin Hogan: Education policy attorney Reg Leichty explains why the FCC's inquiry into sunsetting E-Rate is a serious threat, why screen time is a red herring in this brouhaha, and what district leaders can do about it
How the Stop WOKE Act Ruling Strengthened Academic Freedom sara.custer@in… Tue, 07/14/2026 - 03:00 AM A conversation with Tim Cain, an academic freedom expert and professor of higher education at the University of Georgia. Byline(s) Dominique J. Baker
What Comes After the CMO? rzinkan@rhb.com Tue, 07/14/2026 - 03:00 AM The senior marketing and communications role has evolved considerably. The leadership pathway beyond it has not. Byline(s) Rob Zinkan
UA Countersues Professor, Alleging He Spent Research Dollars on Wedding Emma Whitford Tue, 07/14/2026 - 03:00 AM Byline(s) Emma Whitford
Western Governors President on the State of Online Ed Josh Moody Tue, 07/14/2026 - 03:00 AM Scott Pulsipher explains why Western Governors is expanding and why he thinks competency-based education will continue to grow. Byline(s) Josh Moody
Yale Confirms Negotiations With DOJ Over Admissions Josh Moody Tue, 07/14/2026 - 03:00 AM Byline(s) Josh Moody