Tootfinder

Anthropic CEO says a 10-year moratorium on AI regulation is "far too blunt an instrument" and calls for US federal transparency standards for AI companies (Dario Amodei/New York Times)
https://www.nyti…

Opinion | Anthropic C.E.O.: Don’t Let A.I. Companies off the Hook
The A.I. industry needs to be regulated, with a focus on transparency.

Enduring Disparities in the Workplace: A Pilot Study in the AI Community
Yunusa Simipa Abdulsalam, Siobhan Mackenzie Hall, Ana Quintero-Ossa, William Agnew, Carla Muntean, Sarah Tan, Ashley Heady, Savannah Thais, Jessica Schrouff
https://arxiv.org/abs/2506.04305

Enduring Disparities in the Workplace: A Pilot Study in the AI Community
In efforts toward achieving responsible artificial intelligence (AI), fostering a culture of workplace transparency, diversity, and inclusion can breed innovation, trust, and employee contentment. In AI and Machine Learning (ML), such environments correlate with higher standards of responsible development. Without transparency, disparities, microaggressions and misconduct will remain unaddressed, undermining the very structural inequities responsible AI aims to mitigate. While prior work invest…

Understanding Mental Models of Generative Conversational Search and The Effect of Interface Transparency
Chadha Degachi, Samuel Kernan Freire, Evangelos Niforatos, Gerd Kortuem
https://arxiv.org/abs/2506.03807

Understanding Mental Models of Generative Conversational Search and The Effect of Interface Transparency
The experience and adoption of conversational search is tied to the accuracy and completeness of users' mental models -- their internal frameworks for understanding and predicting system behaviour. Thus, understanding these models can reveal areas for design interventions. Transparency is one such intervention which can improve system interpretability and enable mental model alignment. While past research has explored mental models of search engines, those of generative conversational search re…

Long Story Short: Oklahoma Watch Files Transparency Lawsuit Against Ed. Dept. - Oklahoma Watch
https://oklahomawatch.org/2025/06/03/long-story-short-oklahoma-watch-files-transparency-lawsuit-against-ed-dept/

Real-Time Monitoring and Transparency in Pizza Production Using IoT and Blockchain
Azmat Ullah, Maria Ilaria Lunesu, Lodovica Marchesi, Roberto Tonelli
https://arxiv.org/abs/2507.02536

Real-Time Monitoring and Transparency in Pizza Production Using IoT and Blockchain
This paper presents a blockchain-based Internet of Things (IoT) system for monitoring pizza production in restaurants. IoT devices track temperature and humidity in real-time, while blockchain ensures secure and tamper-proof data. A Raspberry Pi processes sensor data, captures images, triggers alerts, and interacts with smart contracts. The system detects abnormal conditions, enabling quick responses. Blockchain adds transparency and traceability, supporting compliance and audits. Experiments s…

HHS faces transparency lawsuit over race-focused organ transplant reforms under Biden (Kaelan Deese/Washington Examiner)
https://www.washingtonexaminer.com/news/3459882/hhs-transparency-lawsuit-race-focused-equity-organ-transplants-biden/
http://www.memeorandum.com/250701/p159#a250701p159

This https://arxiv.org/abs/2506.03507 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Software Bill of Materials in Software Supply Chain Security A Systematic Literature Review
Software Bill of Materials (SBOMs) are increasingly regarded as essential tools for securing software supply chains (SSCs), yet their real-world use and adoption barriers remain poorly understood. This systematic literature review synthesizes evidence from 40 peer-reviewed studies to evaluate how SBOMs are currently used to bolster SSC security. We identify five primary application areas: vulnerability management, transparency, component assessment, risk assessment, and SSC integrity. Despite c…

Improving Regulatory Oversight in Online Content Moderation
Benedetta Tessa, Denise Amram, Anna Monreale, Stefano Cresci
https://arxiv.org/abs/2506.04145 h…

Improving Regulatory Oversight in Online Content Moderation
The European Union introduced the Digital Services Act (DSA) to address the risks associated with digital platforms and promote a safer online environment. However, despite the potential of components such as the Transparency Database, Transparency Reports, and Article 40 of the DSA to improve platform transparency, significant challenges remain. These include data inconsistencies and a lack of detailed information, which hinder transparency in content moderation practices. Additionally, the ab…

Apple's July 2022 to June 2024 transparency report shows it gave governments data on thousands of push notifications, which can include unencrypted content (Joseph Cox/404 Media)
https://www.404media.co/apple-gave-governments-data-on-tho…

Apple Gave Governments Data on Thousands of Push Notifications
Push notification data can sometimes include the unencrypted content of notifications. Requests include from the U.S., U.K., Germany, and Israel.

Fascinating. Leaked LLM prompt instructions from most of the chat sites.
#AI

GitHub - elder-plinius/CL4R1T4S: SYSTEM PROMPT TRANSPARENCY FOR ALL - CHATGPT, GEMINI, GROK, CLAUDE, PERPLEXITY, CURSOR, WINDSURF, DEVIN, REPLIT, AND MORE!
SYSTEM PROMPT TRANSPARENCY FOR ALL - CHATGPT, GEMINI, GROK, CLAUDE, PERPLEXITY, CURSOR, WINDSURF, DEVIN, REPLIT, AND MORE! - elder-plinius/CL4R1T4S

Penalizing Transparency? How AI Disclosure and Author Demographics Shape Human and AI Judgments About Writing
Inyoung Cheong, Alicia Guo, Mina Lee, Zhehui Liao, Kowe Kadoma, Dongyoung Go, Joseph Chee Chang, Peter Henderson, Mor Naaman, Amy X. Zhang
https://arxiv.org/abs/2507.01418

Penalizing Transparency? How AI Disclosure and Author Demographics Shape Human and AI Judgments About Writing
As AI integrates in various types of human writing, calls for transparency around AI assistance are growing. However, if transparency operates on uneven ground and certain identity groups bear a heavier cost for being honest, then the burden of openness becomes asymmetrical. This study investigates how AI disclosure statement affects perceptions of writing quality, and whether these effects vary by the author's race and gender. Through a large-scale controlled experiment, both human raters (n =…

This https://arxiv.org/abs/2310.17451 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings
Making neural visual generative models controllable by logical reasoning systems is promising for improving faithfulness, transparency, and generalizability. We propose the Abductive visual Generation (AbdGen) approach to build such logic-integrated models. A vector-quantized symbol grounding mechanism and the corresponding disentanglement training method are introduced to enhance the controllability of logical symbols over generation. Furthermore, we propose two logical abduction methods to ma…

The Anatomy of Evidence: An Investigation Into Explainable ICD Coding
Katharina Beckh, Elisa Studeny, Sujan Sai Gannamaneni, Dario Antweiler, Stefan R\"uping
https://arxiv.org/abs/2507.01802

The Anatomy of Evidence: An Investigation Into Explainable ICD Coding
Automatic medical coding has the potential to ease documentation and billing processes. For this task, transparency plays an important role for medical coders and regulatory bodies, which can be achieved using explainability methods. However, the evaluation of these approaches has been mostly limited to short text and binary settings due to a scarcity of annotated data. Recent efforts by Cheng et al. (2023) have introduced the MDACE dataset, which provides a valuable resource containing code ev…

Viewpoint: Making key COVID vaccine decisions without input, transparency is a public disservice:
https://www.cidrap.umn.edu/covid-19/viewpoint-making-key-covid-vaccine-decisions-without-input-transparency-public-disservice

"Suspend UK from oil oversight body over protests crackdown, say campaign groups"
#UK #UnitedKingdom #FossilFuels

Risk and Reward of Transitioning from a National to a Zonal Electricity Market in Great Britain
Lukas Franken, Andrew Lyden, Daniel Friedrich
https://arxiv.org/abs/2506.04107

Risk and Reward of Transitioning from a National to a Zonal Electricity Market in Great Britain
More spatially granular electricity wholesale markets promise more efficient operation and better asset siting in highly renewable power systems. Great Britain is considering moving from its current single-price national wholesale market to a zonal design. Existing studies reach varying and difficult-to-reconcile conclusions about the desirability of a zonal market in GB, partly because they rely on models that vary in their transparency and assumptions about future power systems. Using a novel…

This https://arxiv.org/abs/2502.20491 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Examining Algorithmic Curation on Social Media: An Empirical Audit of Reddit's r/popular Feed
Platforms are increasingly relying on algorithms to curate the content within users' social media feeds. However, the growing prominence of proprietary, algorithmically curated feeds has concealed what factors influence the presentation of content on social media feeds and how that presentation affects user behavior. This lack of transparency can be detrimental to users, from reducing users' agency over their content consumption to the propagation of misinformation and toxic content. To uncover…

Software Bill of Materials in Software Supply Chain Security A Systematic Literature Review
Eric O'Donoghue, Yvette Hastings, Ernesto Ortiz, A. Redempta Manzi Muneza
https://arxiv.org/abs/2506.03507

Software Bill of Materials in Software Supply Chain Security A Systematic Literature Review
Software Bill of Materials (SBOMs) are increasingly regarded as essential tools for securing software supply chains (SSCs), yet their real-world use and adoption barriers remain poorly understood. This systematic literature review synthesizes evidence from 40 peer-reviewed studies to evaluate how SBOMs are currently used to bolster SSC security. We identify five primary application areas: vulnerability management, transparency, component assessment, risk assessment, and SSC integrity. Despite c…

Generation and Coherent Control of Dark-State Spatial Modes
Huai-Che Shia, Siang-Wei Shao, Wu-Cheng Chiang, Yu-Hung Kuan, I-Kang Liu, Teodora Kirova, Gediminas Juzeli\=unas, Yu-Ju Lin, Wen-Te Liao
https://arxiv.org/abs/2507.00558

Generation and Coherent Control of Dark-State Spatial Modes
The generation and dynamic control of the spatial mode of the dark-state polarization using electromagnetically induced transparency are theoretically investigated. We demonstrate that a combination of synthetic scalar and vector potentials can be employed to engineer discrete spatial modes of the dark state polariton, enabling quantum interference among these modes. We verify this concept by showing the Rabi oscillation between two spatial modes and stimulated Raman adiabatic passage among $Λ…

We in Game Workers Unite Ireland stand in solidarity with Animation Workers of Ireland, and the international trade union coalition happening to organise against the threat of AI in the animation industry, and we support their call to acton.
Join them Thursday 12 June at 14:00 at the Pâquier in Annecy!!
#Animation

This https://arxiv.org/abs/2504.16811 has been replaced.
initial toot: https://mastoxiv.page/@ar…

A novel method for measuring the attenuation length and the group velocity of transparent liquids in a variable length cavity
The transparency of liquid scintillators or water is an important parameter for many detectors in particle and astroparticle physics. In this work, the Cavity Enhanced Long Light Path Attenuation Length Screening (CELLPALS) method for the determination of the attenuation length is presented for the first time. The method is based on an experimental setup similar to a Fabry-Pérot interferometer but adding up multiple-reflected intensities of a modulated light source. CELLPALS was developed to m…

Learning Interpretable Rules from Neural Networks: Neurosymbolic AI for Radar Hand Gesture Recognition
Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille
https://arxiv.org/abs/2506.22443

Learning Interpretable Rules from Neural Networks: Neurosymbolic AI for Radar Hand Gesture Recognition
Rule-based models offer interpretability but struggle with complex data, while deep neural networks excel in performance yet lack transparency. This work investigates a neuro-symbolic rule learning neural network named RL-Net that learns interpretable rule lists through neural optimization, applied for the first time to radar-based hand gesture recognition (HGR). We benchmark RL-Net against a fully transparent rule-based system (MIRA) and an explainable black-box model (XentricAI), evaluating a…

Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives
Ander Artola Velasco, Stratis Tsirtsis, Nastaran Okati, Manuel Gomez-Rodriguez
https://arxiv.org/abs/2505.21627

Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives
State-of-the-art large language models require specialized hardware and substantial energy to operate. As a consequence, cloud-based services that provide access to large language models have become very popular. In these services, the price users pay for an output provided by a model depends on the number of tokens the model uses to generate it -- they pay a fixed price per token. In this work, we show that this pricing mechanism creates a financial incentive for providers to strategize and mi…

Searching for gluon saturation effects in momentum transfer dependence of coherent charmonium electroproduction off nuclei
J. Nemchik, J. \'Obertov\'a
https://arxiv.org/abs/2507.01531

Searching for gluon saturation effects in momentum transfer dependence of coherent charmonium electroproduction off nuclei
We study for the first time the transverse momentum transfer distributions $dσ/dt$ in coherent production of charmonia in nuclear ultra-peripheral and electron-ion collisions within the QCD color dipole approach based on a rigorous Green function formalism. This allows us to treat properly the color transparency effects, as well as the higher and leading-twist shadowing corrections associated with the $|Q\bar Q\rangle$ and $|Q\bar QnG\rangle$ Fock components of the photon. While the …

Galileo Project Observatory Class System Architecture
Phillip Bridgham, Alex Delacroix, Laura Domine, Andriy Fedorenko, Ezra Kelderman, Sarah Little, Abraham Loeb, Robert Lundstrom, Eric Masson, Andrew Mead, Michael W Prior, Matthew Szenher, Foteini Vervelidou, Wesley Andres Watters
https://arxiv.org/abs/2506.00125

Galileo Project Observatory Class System Architecture
Scientific investigation of Unidentified Anomalous Phenomena (UAP) is limited by poor data quality and a lack of transparency. Existing data are often fragmented, uncalibrated, and missing critical metadata. To address these limitations, the authors present the Observatory Class Integrated Computing Platform (OCICP), a system designed for the systematic and scientific study of UAPs. OCICP employs multiple sensors to collect and analyze data on aerial phenomena. The OCICP system consists of two …

Poster: FedBlockParadox -- A Framework for Simulating and Securing Decentralized Federated Learning
Gabriele Digregorio, Francesco Bleggi, Federico Caroli, Michele Carminati, Stefano Zanero, Stefano Longari
https://arxiv.org/abs/2506.02679

Poster: FedBlockParadox -- A Framework for Simulating and Securing Decentralized Federated Learning
A significant body of research in decentralized federated learning focuses on combining the privacy-preserving properties of federated learning with the resilience and transparency offered by blockchain-based systems. While these approaches are promising, they often lack flexible tools to evaluate system robustness under adversarial conditions. To fill this gap, we present FedBlockParadox, a modular framework for modeling and evaluating decentralized federated learning systems built on blockcha…

This https://arxiv.org/abs/2505.19253 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research
Deep research systems represent an emerging class of agentic information retrieval methods that generate comprehensive and well-supported reports to complex queries. However, most existing frameworks rely on dynamic commercial search APIs, which pose reproducibility and transparency challenges in addition to their cost. To address these limitations, we introduce DeepResearchGym, an open-source sandbox that combines a reproducible search API with a rigorous evaluation protocol for benchmarking d…

This https://arxiv.org/abs/2501.12912 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Quantification of Ultrafast Nonlinear Photothermal and Photoacoustic Effects in Molecular Thin Films via Time-Domain Brillouin Scattering
Improving the efficiency of photothermal (PT) therapies and photoacoustic (PA) imaging at the microscopic scale hinges on developing multiphoton-absorbing photothermal molecules or contrast agents that operate in the near-infrared (NIR) range. These advanced agents or molecules will enable excitation with NIR lasers, in an improved transparency range for biological tissues, while enabling minute, highly localized spatial control of the excitation area. However, progress in this field requires i…

"The Office of Cybersecurity has deemed WhatsApp a high-risk to users due to the lack of transparency in how it protects user data, absence of stored data encryption, and potential security risks involved with its use."
This follows Iran's ban on WhatsApp.
https://www.axi…

Scoop: WhatsApp banned on House staffers' devices
The House's cybersecurity office deemed the messaging app "high risk" due to its treatment of user data.

Beyond the Black Box: Interpretability of LLMs in Finance
Hariom Tatsat (Barclays), Ariye Shater (Barclays)
https://arxiv.org/abs/2505.24650 https://

Beyond the Black Box: Interpretability of LLMs in Finance
Large Language Models (LLMs) exhibit remarkable capabilities across a spectrum of tasks in financial services, including report generation, chatbots, sentiment analysis, regulatory compliance, investment advisory, financial knowledge retrieval, and summarization. However, their intrinsic complexity and lack of transparency pose significant challenges, especially in the highly regulated financial sector, where interpretability, fairness, and accountability are critical. As far as we are aware, t…

Low-Perplexity LLM-Generated Sequences and Where To Find Them
Arthur Wuhrmann, Anastasiia Kucherenko, Andrei Kucharavy
https://arxiv.org/abs/2507.01844 htt…

Low-Perplexity LLM-Generated Sequences and Where To Find Them
As Large Language Models (LLMs) become increasingly widespread, understanding how specific training data shapes their outputs is crucial for transparency, accountability, privacy, and fairness. To explore how LLMs leverage and replicate their training data, we introduce a systematic approach centered on analyzing low-perplexity sequences - high-probability text spans generated by the model. Our pipeline reliably extracts such long sequences across diverse topics while avoiding degeneration, the…

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies
Kourosh Shahnazari, Seyed Moein Ayyoubzadeh, Mohammadali Keshtparvar
https://arxiv.org/abs/2506.00328

BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies
The quest for interpretable reinforcement learning is a grand challenge for the deployment of autonomous decision-making systems in safety-critical applications. Modern deep reinforcement learning approaches, while powerful, tend to produce opaque policies that compromise verification, reduce transparency, and impede human oversight. To address this, we introduce BASIL (Best-Action Symbolic Interpretable Learning), a systematic approach for generating symbolic, rule-based policies via online ev…

WOOT '25 conference schedule has been announced!
I'm pleased to say that I have not one but two papers (one as first author) being presented there:
"Security through Transparency: Tales from the RP2350 Hacking Challenge", Marius Muench, University of Birmingham; Aedan Cullen and Kévin Courdesses, Independent; Thomas 'stacksmashing' Roth, Hextree; Andrew Zonenberg, IOActive
"Extraction of Secrets from 40nm CMOS Gate Dielectric Breakdown Antifus…

WOOT '25 Technical Sessions

Cosmic Distance Duality Relation with DESI DR2 and Transparency
Xuwei Zhang, Xiaofeng Yang, Yunliang Ren, Shuangnan Chen, Yangjun Shi, Cheng Cheng, Xiaolong He
https://arxiv.org/abs/2506.17926

Cosmic Distance Duality Relation with DESI DR2 and Transparency
The Cosmic Distance Duality Relation (CDDR), a fundamental assumption in modern cosmology, posits a direct link between angular diameter distance and luminosity distance. This study presents a comprehensive, model-independent, and data-driven test of the CDDR using a combination of cosmological observations, including Supernovae (SN), Baryon Acoustic Oscillations (BAO), and Hubble parameter ($H(z)$) measurements. We employ both Gaussian Process Regression (GPR) and a novel Compressed Point (CPI…

AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions
Adriana Eufrosina Bora, Akshatha Arodi, Duoyi Zhang, Jordan Bannister, Mirko Bronzi, Arsene Fansi Tchango, Md Abul Bashar, Richi Nayak, Kerrie Mengersen
https://arxiv.org/abs/2506.01671

AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions
Modern Slavery Acts mandate that corporations disclose their efforts to combat modern slavery, aiming to enhance transparency and strengthen practices for its eradication. However, verifying these statements remains challenging due to their complex, diversified language and the sheer number of statements that must be reviewed. The development of NLP tools to assist in this task is also difficult due to a scarcity of annotated data. Furthermore, as modern slavery transparency legislation has bee…

Naive parton picture for color transparency of kaon in the electronuclear reaction $A(e,e'K^ )$
Kook-Jin Kong, Tae Keun Choi, Byung-Geel Yu
https://arxiv.org/abs/2506.15331

Naive parton picture for color transparency of kaon in the electronuclear reaction $A(e,e'K^+)$
Nuclear transparency in the kaon-induced nuclear reaction $A(e,e'K^+)$ is investigated in parallel with our previous study on the pion transparency in Phys. Rev. C {\bf111}, 064608 (2025). Based on the Glauber scattering theory, which incorporates shadowing by the two-step process, the kaon color transparency (CT) is analyzed to find that the slope of the kaon CT steeper than the pion CT along with the photon virtuality $Q^2$ increase is well accounted for by the naive parton model (NPM) rather…

Dichoptic Opacity: Managing Occlusion in Stereoscopic Displays via Dichoptic Presentation
George Bell (Newcastle University), Alma Cantu (Newcastle University)
https://arxiv.org/abs/2506.22841

Dichoptic Opacity: Managing Occlusion in Stereoscopic Displays via Dichoptic Presentation
Adjusting transparency is a common method of mitigating occlusion but is often detrimental for understanding the relative depth relationships between objects as well as removes potentially important information from the occluding object. We propose using dichoptic opacity, a novel method for occlusion management that contrasts the transparency of occluders presented to each eye. This allows for better simultaneous understanding of both occluder and occluded. A user study highlights the techniqu…

This https://arxiv.org/abs/2412.11648 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nuc…

Isotopic Transparency in Central Xe+Sn Collisions at 100 MeV/nucleon
A new method, based on comparing isotopic yield ratios measured at forward and sideward polar angles and on cross-bombarding heavy nuclei with different neutron-to-proton ratios, is used to quantify the stopping power of nuclear matter in heavy-ion collisions. For central collisions of isotopically separated $^{124,129}$Xe+$^{112,124}$Sn at 100~MeV/nucleon bombarding energy, measured with the 4$π$ multidetector INDRA at GSI, a moderate transparency is deduced for hydrogen isotopes, whereas for…

Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment
Anum Nawaz, Hafiz Humza Mahmood Ramzan, Xianjia Yu, Zhuo Zou, Tomi Westerlund
https://arxiv.org/abs/2506.02038

Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment
Edge Intelligence (EI) serves as a critical enabler for privacy-preserving systems by providing AI-empowered computation and distributed caching services at the edge, thereby minimizing latency and enhancing data privacy. The integration of blockchain technology further augments EI frameworks by ensuring transactional transparency, auditability, and system-wide reliability through a decentralized network model. However, the operational architecture of such systems introduces inherent vulnerabil…

Nonlinear Rank Scaling and Hidden Structure in NHS Expenditure Transparency Data
Animotu Mohammed, Golnaz Shahtahmassebi, Haroldo V. Ribeiro, Jack Sutton, Quentin S. Hanley
https://arxiv.org/abs/2506.19520

Nonlinear Rank Scaling and Hidden Structure in NHS Expenditure Transparency Data
A variety of transparency initiatives have been introduced by governments to reduce corruption and allow citizens to independently evaluate effectiveness and efficiency of spending. In 2010, the UK government mandated transparency for many expenditures exceeding £25,000. The resulting data is dispersed across a range of governmental organizations and presents an opportunity to understand expenditure at scale, interrogate organizational structures and develop transparency measures. Here, we foc…

Reconfiguring Digital Accountability: AI-Powered Innovations and Transnational Governance in a Postnational Accounting Context
Claire Li, David Freeborn
https://arxiv.org/abs/2507.00288

Reconfiguring Digital Accountability: AI-Powered Innovations and Transnational Governance in a Postnational Accounting Context
This study explores how AI-powered digital innovations are reshaping organisational accountability in a transnational governance context. As AI systems increasingly mediate decision-making in domains such as auditing and financial reporting, traditional mechanisms of accountability, based on control, transparency, and auditability, are being destabilised. We integrate the Technology Acceptance Model (TAM), Actor-Network Theory (ANT), and institutional theory to examine how organisations adopt A…

#GISjob at Uni Twente: https://utwentecareers.nl/en/vacancies/2140/phd-candidate-in-explainable-ai-for-earth-observation/

PhD Candidate in Explainable AI for Earth Observation - Looking for a job that matters?
With the growing integration of Artificial Intelligence (AI) in geospatial decision-making processes, ensuring transparency, accountability, and trust in model outputs has become imperative, especially in critical domains such as disaster risk management,…

Medicare Advantage's supplemental benefits will cost taxpayers $86 billion this year, with little transparency (Tara Bannow/STAT)
https://www.statnews.com/2025/06/12/medicare-advantages-supplemental-benefits-cost-86-billion-little-transparency/
http://www.memeorandum.com/250612/p60#a250612p60

Where Projects are Evaluated – To see if they're as free and open source as advertised
The software rights of users are continously (and often opaquely) being eroded by the desire of growth.
This website aims to push back against that by bringing transparency to FOSS software users.
🧑‍💻 https://isitreallyfoss.com

Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?
Zhuojun Gu, Quan Wang, Shuchu Han
https://arxiv.org/abs/2506.00751

Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?
Recent advances in Large Language Models (LLMs) highlight the need to align their behaviors with human values. A critical, yet understudied, issue is the potential divergence between an LLM's stated preferences (its reported alignment with general principles) and its revealed preferences (inferred from decisions in contextualized scenarios). Such deviations raise fundamental concerns for the interpretability, trustworthiness, reasoning transparency, and ethical deployment of LLMs, particularly …

DOGE's push from tape archives to cloud-based "permanent modern digital records" (not a thing) opens the door to increased software obsolescence, hacking, and climate impact. Greater transparency? Maybe—or these wannabe nerds just plan to surveil and monetize govt data

Everybody is crushing their challenges, but I'm ashamed to have lost my 0 post challenge for this year :) Here is the evidence: https://www-gem.codeberg.page/picom/.

"America Is Becoming the World’s Largest Tax Haven"
By Joseph E. Stiglitz
https://rooseveltinstitute.org/blog/largest-tax-haven/

Integrating Vehicle Acoustic Data for Enhanced Urban Traffic Management: A Study on Speed Classification in Suzhou
Pengfei Fan, Yuli Zhang, Xinheng Wang, Ruiyuan Jiang, Hankang Gu, Dongyao Jia, Shangbo Wang
https://arxiv.org/abs/2506.21269

Integrating Vehicle Acoustic Data for Enhanced Urban Traffic Management: A Study on Speed Classification in Suzhou
This study presents and publicly releases the Suzhou Urban Road Acoustic Dataset (SZUR-Acoustic Dataset), which is accompanied by comprehensive data-acquisition protocols and annotation guidelines to ensure transparency and reproducibility of the experimental workflow. To model the coupling between vehicular noise and driving speed, we propose a bimodal-feature-fusion deep convolutional neural network (BMCNN). During preprocessing, an adaptive denoising and normalization strategy is applied to …

BBC bias on Palestine, letter from journalists
"We believe the refusal to broadcast the documentary ‘Gaza: Medics Under Fire’ is just one in a long line of agenda driven decisions. ...
"We are not asking the BBC to take a side.  We are asking to be allowed to do our jobs in delivering facts transparently and with due context. ...
"As an organisation we have not offered any significant analysis of the UK government's involvement in the war on Palestinians. We have failed to report on weapons sales or their legal implications.  These stories have instead been broken by the BBC’s competitors. ...
"In some instances staff have been accused of having an agenda because they have posted news articles critical of the Israeli government on their social media. By comparison, [Robbie] Gibb remains in an influential post with little transparency regarding his decisions despite his ideological leanings being well known. ...
"There is a gulf between the BBC’s coverage of what is happening in Gaza and the West Bank and what our audiences can see is happening via multiple credible sources including human rights organisations, staff at the UN and journalists on the ground. ...
"We believe the role of Robbie Gibb, both on the Board, and as part of the Editorial Standards Committee, is untenable. We call on the BBC to do better for our audiences and recommit to our values of impartiality, honesty and reporting without fear or favour."
Full text here, Owen Jones article up-thread:
#BBC #media #bias #Israel #Palestine #Gaza #RobbieGibb #UKPol

Methodological Rigour in Algorithm Application: An Illustration of Topic Modelling Algorithm
Malmi Amadoru
https://arxiv.org/abs/2507.00547 https://…

Methodological Rigour in Algorithm Application: An Illustration of Topic Modelling Algorithm
The rise of advanced computational algorithms has opened new avenues for computationally intensive research approaches to theory development. However, the opacity of these algorithms and lack of transparency and rigour in their application pose methodological challenges, potentially undermining trust in research. The discourse on methodological rigour in this new genre of research is still emerging. Against this backdrop, I attempt to offer guidance on methodological rigour, particularly in the…

Pacific Ocean life at risk from noisy deep-sea mining #Pacific

Pacific Ocean life at risk from noisy deep-sea mining
Noise pollution from deep-sea mining carries an invisible risk for sea life, warn researchers, urging greater transparency from the industry to help mitigate the harms.

Assessing the accuracy of the GENIE event generator with electron scattering data: Reduced cross section and nuclear transparency
A. V. Butkevich, S. V. Luchuk
https://arxiv.org/abs/2506.19355

Assessing the accuracy of the GENIE event generator with electron scattering data: Reduced cross section and nuclear transparency
The reduced cross sections of the semi-exclusive $(l,l'p)$ lepton scattering process can be identified with distorted nuclear spectral functions. Irrespective of the type of interaction the distorted spectral function is determined mainly by intrinsic properties of the target and the ejected nucleon interaction with residual nucleus. Thus the reduced cross sections of the neutrino and electron scattering on nuclei as functions of nucleon missing momentum and energy are similar up to Coulomb cor…

Analysis: of 750 data brokers registered in at least one US state, many failed to register in other states with transparency laws, undermining consumer privacy (Electronic Frontier Foundation)
https://www.eff.org/deeplinks/2025/06/why-are…

Why Are Hundreds of Data Brokers Not Registering with States?
Hundreds of data brokers have not registered with state consumer protection agencies. A new analysis by Privacy Rights Clearinghouse (PRC) and the Electronic Frontier Foundation (EFF) reveals that many data brokers registered in one state aren’t registered in others.

Saw this on my kitchen counter today and thought „hmm, ‚Solid Porcelain‘ might be a cool design language, actually.“
Can do the same 3d effects, nice highlights / reflections, and easier to read on than the transparency of #LiquidGlass. Plus, stuff sticking out of the icon is always fun. #iOS

#OrganicMaps wurde geforkt, weil es Probleme mit der Transparenz und den Finanzen zu geben scheint. Das neue Communityprojekt heißt #CoMaps #OSM

CoMaps
A community-led fork of Organic Maps. Reinforced with commitment to transparency, privacy and being not-for-profit.

Birthplaces of X-ray emission lines in Cygnus X-3
Osmi Vilhu, Karri I. I. Koljonen
https://arxiv.org/abs/2506.19380 https://arxiv.org…

Birthplaces of X-ray emission lines in Cygnus X-3
We investigate the formation of X-ray emission lines in the wind of the Wolf-Rayet (WR) companion in Cyg X-3 by analyzing their orbital dynamics using Chandra High Energy Transmission Grating (HEG) observations during a hypersoft state. Our goal is to constrain the X-ray transparency of the recently discovered funnel-like structure surrounding the compact star, as revealed by X-ray polarimetry. All lines exhibit sinusoidal orbital modulation, with the velocity amplitude generally increasing and…

AI Data Development: A Scorecard for the System Card Framework
Tadesse K. Bahiru, Haileleol Tibebu, Ioannis A. Kakadiaris
https://arxiv.org/abs/2506.02071 …

AI Data Development: A Scorecard for the System Card Framework
Artificial intelligence has transformed numerous industries, from healthcare to finance, enhancing decision-making through automated systems. However, the reliability of these systems is mainly dependent on the quality of the underlying datasets, raising ongoing concerns about transparency, accountability, and potential biases. This paper introduces a scorecard designed to evaluate the development of AI datasets, focusing on five key areas from the system card framework data development life cy…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[3/5]:
Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection

Cost for research -- how cost data of research can be included in open metadata to be reused and evaluated
Julia Bartlewski, Christoph Broschinski, Gernot Deinzer, Cornelia Lang, Dirk Pieper, Bianca Schweighofer, Colin Sippl, Lisa-Marie Stein, Alexander Wagner, Silke Weisheit
https://arxiv.org/abs/2506.18517

Cost for research -- how cost data of research can be included in open metadata to be reused and evaluated
The openCost project aims to enhance transparency in research funding by making publication-related costs publicly accessible, following FAIR principles. It introduces a metadata schema for cost data, allowing aggregation and analysis across institutions. The project promotes open access and cost-efficient models, benefiting academic institutions, funders, and policymakers.

LDI: Localized Data Imputation
Soroush Omidvartehrani, Davood Rafiei
https://arxiv.org/abs/2506.16616 https://arxiv.org/pdf/2506.1661…

LDI: Localized Data Imputation
Missing values are a common challenge in real-world tabular data and can significantly impair downstream analysis. While Large Language Models (LLMs) have recently shown promise in data imputation, existing methods often rely on broad, unfiltered prompts that compromise accuracy, scalability, and explainability. We introduce LDI (Localized Data Imputation), a novel framework that improves both the accuracy and transparency of LLM-based imputation by selecting a compact, contextually relevant su…

TRUST: Transparent, Robust and Ultra-Sparse Trees
Albert Dorador
https://arxiv.org/abs/2506.15791 https://arxiv.org/pdf/2506.15791

TRUST: Transparent, Robust and Ultra-Sparse Trees
Piecewise-constant regression trees remain popular for their interpretability, yet often lag behind black-box models like Random Forest in predictive accuracy. In this work, we introduce TRUST (Transparent, Robust, and Ultra-Sparse Trees), a novel regression tree model that combines the accuracy of Random Forests with the interpretability of shallow decision trees and sparse linear models. TRUST further enhances transparency by leveraging Large Language Models to generate tailored, user-friendl…

Abandoning 'Transparency,' RFK Jr Initiates Shady Drug Approval Scheme - National Memo
https://www.nationalmemo.com/rfk-jr-fda

TeamCMU at Touch\'e: Adversarial Co-Evolution for Advertisement Integration and Detection in Conversational Search
To Eun Kim, Jo\~ao Coelho, Gbemileke Onilude, Jai Singh
https://arxiv.org/abs/2507.00509

TeamCMU at Touché: Adversarial Co-Evolution for Advertisement Integration and Detection in Conversational Search
As conversational search engines increasingly adopt generation-based paradigms powered by Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), the integration of advertisements into generated responses presents both commercial opportunities and challenges for user experience. Unlike traditional search, where advertisements are clearly delineated, generative systems blur the boundary between informational content and promotional material, raising concerns around transparency an…

Enhancing Meme Token Market Transparency: A Multi-Dimensional Entity-Linked Address Analysis for Liquidity Risk Evaluation
Qiangqiang Liu, Qian Huang, Frank Fan, Haishan Wu, Xueyan Tang
https://arxiv.org/abs/2506.05359

Enhancing Meme Token Market Transparency: A Multi-Dimensional Entity-Linked Address Analysis for Liquidity Risk Evaluation
Meme tokens represent a distinctive asset class within the cryptocurrency ecosystem, characterized by high community engagement, significant market volatility, and heightened vulnerability to market manipulation. This paper introduces an innovative approach to assessing liquidity risk in meme token markets using entity-linked address identification techniques. We propose a multi-dimensional method integrating fund flow analysis, behavioral similarity, and anomalous transaction detection to iden…

When Kids Mode Isn't For Kids: Investigating TikTok's "Under 13 Experience"
Olivia Figueira, Pranathi Chamarthi, Tu Le, Athina Markopoulou
https://arxiv.org/abs/2507.00299

When Kids Mode Isn't For Kids: Investigating TikTok's "Under 13 Experience"
TikTok, the social media platform that is popular among children and adolescents, offers a more restrictive "Under 13 Experience" exclusively for young users in the US, also known as TikTok's "Kids Mode". While prior research has studied various aspects of TikTok's regular mode, including privacy and personalization, TikTok's Kids Mode remains understudied, and there is a lack of transparency regarding its content curation and its safety and privacy protections for children. In this paper, (i) …

Revolutionizing Validation and Verification: Explainable Testing Methodologies for Intelligent Automotive Decision-Making Systems
Halit Eris, Stefan Wagner
https://arxiv.org/abs/2506.16876

Revolutionizing Validation and Verification: Explainable Testing Methodologies for Intelligent Automotive Decision-Making Systems
Autonomous Driving Systems (ADS) use complex decision-making (DM) models with multimodal sensory inputs, making rigorous validation and verification (V&V) essential for safety and reliability. These models pose challenges in diagnosing failures, tracing anomalies, and maintaining transparency, with current manual testing methods being inefficient and labor-intensive. This vision paper presents a methodology that integrates explainability, transparency, and interpretability into V&V processes. W…

Record-high-Q AMTIR-1 microresonators for mid- to long-wave infrared nonlinear photonics
Liu Yang, Ryo Sugano, Ryomei Takabayashi, Hajime Kumazaki, Yongyong Zhuang, Xiaoyong Wei, Takasumi Tanabe, Shun Fujii
https://arxiv.org/abs/2505.23362

Record-high-Q AMTIR-1 microresonators for mid- to long-wave infrared nonlinear photonics
AMTIR-1 chalcogenide glass has shown its potential for use in thermal imaging systems owing to its low refractive index, thermal resistance and high transparency across the infrared wavelength regime. Here we report a millimeter-scale high-Q whispering gallery mode microresonator made of AMTIR-1. The recorded Q-factor has reached $1.2\times10^7$ at 1550~nm, which is almost two-orders of magnitude higher than previously reported values. We characterize the thermal properties, where low thermal c…

Interpretable by Design: MH-AutoML for Transparent and Efficient Android Malware Detection without Compromising Performance
Joner Assolin, Gabriel Canto, Diego Kreutz, Eduardo Feitosa, Hendrio Bragan\c{c}a, Angelo Nogueira, Vanderson Rocha
https://arxiv.org/abs/2506.23314

Interpretable by Design: MH-AutoML for Transparent and Efficient Android Malware Detection without Compromising Performance
Malware detection in Android systems requires both cybersecurity expertise and machine learning (ML) techniques. Automated Machine Learning (AutoML) has emerged as an approach to simplify ML development by reducing the need for specialized knowledge. However, current AutoML solutions typically operate as black-box systems with limited transparency, interpretability, and experiment traceability. To address these limitations, we present MH-AutoML, a domain-specific framework for Android malware d…

#Blakes7 Series A, Episode 07 - Mission To Destiny
RAFFORD: [Into microphone] Log entry one forty three. Flight time zero one zero, elapsed nine zero. We have reached course delta red two. New heading locked in, all systems functioning. Log entry closes.
[He picks up map viewer and inserts a new map transparency. Cut to corridor, someone is approaching the door. Back to Rafford, he…

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Beyond Black Boxes: Enhancing Interpretability of Transformers Trained on Neural Data
Laurence Freeman, Philip Shamash, Vinam Arora, Caswell Barry, Tiago Branco, Eva Dyer
https://arxiv.org/abs/2506.14014

Beyond Black Boxes: Enhancing Interpretability of Transformers Trained on Neural Data
Transformer models have become state-of-the-art in decoding stimuli and behavior from neural activity, significantly advancing neuroscience research. Yet greater transparency in their decision-making processes would substantially enhance their utility in scientific and clinical contexts. Sparse autoencoders offer a promising solution by producing hidden units that respond selectively to specific variables, enhancing interpretability. Here, we introduce SAEs into a neural decoding framework by a…

This https://arxiv.org/abs/2505.00616 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Catastrophic Liability: Managing Systemic Risks in Frontier AI Development
As artificial intelligence systems grow more capable and autonomous, frontier AI development poses potential systemic risks that could affect society at a massive scale. Current practices at many AI labs developing these systems lack sufficient transparency around safety measures, testing procedures, and governance structures. This opacity makes it challenging to verify safety claims or establish appropriate liability when harm occurs. Drawing on liability frameworks from nuclear energy, aviati…

Developers criticize Google for its decision to hide raw reasoning tokens, essential for debugging complex AI workflows, of its flagship model Gemini 2.5 Pro (Ben Dickson/VentureBeat)
https://venturebeat.com/ai/googles-gemin…

Multilevel Electromagnetically Induced Transparency Cooling
Katya Fouka, Athreya Shankar, Ting Rei Tan, Arghavan Safavi-Naini
https://arxiv.org/abs/2506.14546

Concerning the Responsible Use of AI in the US Criminal Justice System
Cristopher Moore, Catherine Gill, Nadya Bliss, Kevin Butler, Stephanie Forrest, Daniel Lopresti, Mary Lou Maher, Helena Mentis, Shashi Shekhar, Amanda Stent, Matthew Turk
https://arxiv.org/abs/2506.00212

Concerning the Responsible Use of AI in the US Criminal Justice System
Artificial intelligence (AI) is increasingly being adopted in most industries, and for applications such as note taking and checking grammar, there is typically not a cause for concern. However, when constitutional rights are involved, as in the justice system, transparency is paramount. While AI can assist in areas such as risk assessment and forensic evidence generation, its "black box" nature raises significant questions about how decisions are made and whether they can be contested. This pa…

How to Elicit Explainability Requirements? A Comparison of Interviews, Focus Groups, and Surveys
Martin Obaidi, Jakob Droste, Hannah Deters, Marc Herrmann, Raymond Ochsner, Jil Kl\"under, Kurt Schneider
https://arxiv.org/abs/2505.23684

How to Elicit Explainability Requirements? A Comparison of Interviews, Focus Groups, and Surveys
As software systems grow increasingly complex, explainability has become a crucial non-functional requirement for transparency, user trust, and regulatory compliance. Eliciting explainability requirements is challenging, as different methods capture varying levels of detail and structure. This study examines the efficiency and effectiveness of three commonly used elicitation methods - focus groups, interviews, and online surveys - while also assessing the role of taxonomy usage in structuring a…

Automating Financial Statement Audits with Large Language Models
Rushi Wang, Jiateng Liu, Weijie Zhao, Shenglan Li, Denghui Zhang
https://arxiv.org/abs/2506.17282

Automating Financial Statement Audits with Large Language Models
Financial statement auditing is essential for stakeholders to understand a company's financial health, yet current manual processes are inefficient and error-prone. Even with extensive verification procedures, auditors frequently miss errors, leading to inaccurate financial statements that fail to meet stakeholder expectations for transparency and reliability. To this end, we harness large language models (LLMs) to automate financial statement auditing and rigorously assess their capabilities, …

A look at California's 52-page California Report on Frontier Policy, which proposes an AI regulatory framework based on transparency, risk assessments, and more (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-int

California is trying to regulate its AI giants — again
California has released a safety report proposing new legislation after Governor Gavin Newsom vetoed SB 1047.

All-optical convolution utilizing processing in memory based on a cold atomic ensemble
Ying-Hao Ye, Jia-Qi Jiang, En-Ze Li, Wei Zhang, Da-Chuang Li, Zhi-Han Zhu, Dong-Sheng Ding, Bao-Sen Shi
https://arxiv.org/abs/2506.14716

All-optical convolution utilizing processing in memory based on a cold atomic ensemble
Processing in memory (PIM) has received significant attention due to its high efficiency, low latency, and parallelism. In optical computation, coherent memory is a crucial infrastructure for PIM frameworks. This study presents an all-optical convolution experiment conducted within computational storage based on a cold atomic ensemble. By exploiting the light-atom phase transfer facilitated by the electromagnetically induced transparency, we demonstrated spiral phase contrast processing of phot…

Misinformation by Omission: The Need for More Environmental Transparency in AI
Sasha Luccioni, Boris Gamazaychikov, Theo Alves da Costa, Emma Strubell
https://arxiv.org/abs/2506.15572

Misinformation by Omission: The Need for More Environmental Transparency in AI
In recent years, Artificial Intelligence (AI) models have grown in size and complexity, driving greater demand for computational power and natural resources. In parallel to this trend, transparency around the costs and impacts of these models has decreased, meaning that the users of these technologies have little to no information about their resource demands and subsequent impacts on the environment. Despite this dearth of adequate data, escalating demand for figures quantifying AI's environme…

This https://arxiv.org/abs/2410.14839 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Multi-Task Dynamic Pricing in Credit Market with Contextual Information
We study the dynamic pricing problem faced by a broker seeking to learn prices for a large number of credit market securities, such as corporate bonds, government bonds, loans, and other credit-related securities. A major challenge in pricing these securities stems from their infrequent trading and the lack of transparency in over-the-counter (OTC) markets, which leads to insufficient data for individual pricing. Nevertheless, many securities share structural similarities that can be exploited.…

Passive radiative cooling using temperature-dependent emissivity can sometimes outperform static emitters
Yeonghoon Jin, Jin-Woo Cho, Mikhail A. Kats
https://arxiv.org/abs/2506.11259

Passive radiative cooling using temperature-dependent emissivity can sometimes outperform static emitters
In passive sky-facing radiative cooling, wavelength-selective thermal emitters in the atmospheric transparency window of 8-13 $μ$m can reach lower temperatures compared to broadband emitters, but broadband emitters always have higher cooling power when the emitter is warmer than the ambient. Here, we propose a temperature-tunable thermal emitter that switches between a wavelength-selective state -- with high emissivity only in the atmospheric transparency window of 8-13 $μ$m -- and a broadban…

This https://arxiv.org/abs/2506.00540 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Manipulation of Photonic Spin Hall Effect via Interacting Rydberg Atom
We present a theoretical study demonstrating enhanced tunability of the photonic spin Hall effect (PSHE) using a strongly interacting Rydberg atomic medium under electromagnetically induced transparency (EIT) conditions. In contrast to conventional approaches that rely on static refractiveindex profiles or metamaterials, here the PSHE is controlled via a nonlocal third-order nonlinear susceptibility arising from long range Rydberg-Rydberg interactions. We show that this nonlocal nonlinearity en…

New York State passes a bill mandating safety and transparency requirements for frontier AI models; it awaits Governor Hochul's decision (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/06/13/new-york-passes-a-bill-to-prevent-ai-fu…

New York passes a bill to prevent AI-fueled disasters | TechCrunch
New York has a new AI safety bill that tries to regulate frontier AI models from OpenAI, Google, and Anthropic.

Methodological Advances and Challenges in Indirect Treatment Comparisons: A Review of International Guidelines and HAS TC Case Studies
Matthias Monnereau, Ana Jarne, Axel Benoist, Cl\'emence Fradet, Maurice Perol, Thomas Filleron, Louise Baschet
https://arxiv.org/abs/2506.11587

Methodological Advances and Challenges in Indirect Treatment Comparisons: A Review of International Guidelines and HAS TC Case Studies
To evaluate methodological challenges and regulatory considerations of indirect treatment comparisons (ITCs) with the analysis of international health technology assessment guidelines and French Transparency Committee (TC) decisions. We conducted a pragmatic review of ITC guidelines from major health technology assessment (HTA) bodies and multistakeholder organizations. Then, we analyzed TC opinions published between 2021-2023. We extracted data on ITC methodology, therapeutic areas, acceptabil…

"Who Should I Believe?": User Interpretation and Decision-Making When a Family Healthcare Robot Contradicts Human Memory
Hong Wang, Natalia Calvo-Barajas, Katie Winkle, Ginevra Castellano
https://arxiv.org/abs/2506.21322

"Who Should I Believe?": User Interpretation and Decision-Making When a Family Healthcare Robot Contradicts Human Memory
Advancements in robotic capabilities for providing physical assistance, psychological support, and daily health management are making the deployment of intelligent healthcare robots in home environments increasingly feasible in the near future. However, challenges arise when the information provided by these robots contradicts users' memory, raising concerns about user trust and decision-making. This paper presents a study that examines how varying a robot's level of transparency and sociabilit…

Social Media Can Reduce Misinformation When Public Scrutiny is High
Gavin Wang, Haofei Qin, Xiao Tang, Lynn Wu
https://arxiv.org/abs/2506.16355 https://

Social Media Can Reduce Misinformation When Public Scrutiny is High
Misinformation poses a growing global threat to institutional trust, democratic stability, and public decision-making. While prior research has often portrayed social media as a channel for spreading falsehoods, less is known about the conditions under which it may instead constrain misinformation by enhancing transparency and accountability. Here we show this dual potential in the context of local governments' GDP reporting in China, where data falsifications are widespread. Analyzing official…

Replaced article(s) found for physics.optics. https://arxiv.org/list/physics.optics/new
[1/1]:
- Plasmon-induced coherence, exciton-induced transparency and Fano interference for hybrid plasmoni...
Zoe Scott, Shafi Muhammad, Tigran V. Shahbazyan

Filters of Identity: AR Beauty and the Algorithmic Politics of the Digital Body
Miriam Doh, Corinna Canali, Nuria Oliver
https://arxiv.org/abs/2506.19611 h…

Filters of Identity: AR Beauty and the Algorithmic Politics of the Digital Body
This position paper situates AR beauty filters within the broader debate on Body Politics in HCI. We argue that these filters are not neutral tools but technologies of governance that reinforce racialized, gendered, and ableist beauty standards. Through naming conventions, algorithmic bias, and platform governance, they impose aesthetic norms while concealing their influence. To address these challenges, we advocate for transparency-driven interventions and a critical rethinking of algorithmic …

Apple unveils a Liquid Glass design language across its platforms, adding transparency and glass shine effects to Apple's in-app interfaces (Tom Warren/The Verge)
https://www.theverge.com/news/682636/apple-liquid-design-glass-theme-wwdc-2025

Apple’s new design language is Liquid Glass
Apple is launching a new design language. Liquid Glass will be available on all of Apple’s software.

Effects of inert background gases and photo-illumination on three-color electromagnetically induced transparency of rubidium vapor
Alisher Duspayev, Bineet Dash, Georg Raithel
https://arxiv.org/abs/2506.05656

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution
Yibo Wang, Zhihao Peng, Ying Wang, Zhao Wei, Hai Yu, Zhiliang Zhu
https://arxiv.org/abs/2506.12728

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution
LLMs demonstrate strong performance in auto-mated software engineering, particularly for code generation and issue resolution. While proprietary models like GPT-4o achieve high benchmarks scores on SWE-bench, their API dependence, cost, and privacy concerns limit adoption. Open-source alternatives offer transparency but underperform in complex tasks, especially sub-100B parameter models. Although quality Chain-of-Thought (CoT) data can enhance reasoning, current methods face two critical flaws:…

Epass: Efficient and Privacy-Preserving Asynchronous Payment on Blockchain
Weijie Wang, Jinwen Liang, Chuan Zhang, Ximeng Liu, Liehuang Zhu, Song Guo
https://arxiv.org/abs/2506.09387

Epass: Efficient and Privacy-Preserving Asynchronous Payment on Blockchain
Buy Now Pay Later (BNPL) is a rapidly proliferating e-commerce model, offering consumers to get the product immediately and defer payments. Meanwhile, emerging blockchain technologies endow BNPL platforms with digital currency transactions, allowing BNPL platforms to integrate with digital wallets. However, the transparency of transactions causes critical privacy concerns because malicious participants may derive consumers' financial statuses from on-chain asynchronous payments. Furthermore, th…

AI labeling reduces the perceived accuracy of online content but has limited broader effects
Chuyao Wang, Patrick Sturgis, Daniel de Kadt
https://arxiv.org/abs/2506.16202

AI labeling reduces the perceived accuracy of online content but has limited broader effects
Explicit labeling of online content produced by artificial intelligence (AI) is a widely mooted policy for ensuring transparency and promoting public confidence. Yet little is known about the scope of AI labeling effects on public assessments of labeled content. We contribute new evidence on this question from a survey experiment using a high-quality nationally representative probability sample (n = 3,861). First, we demonstrate that explicit AI labeling of a news article about a proposed publi…

Designing Intent: A Multimodal Framework for Human-Robot Cooperation in Industrial Workspaces
Francesco Chiossi, Julian Rasch, Robin Welsch, Albrecht Schmidt, Florian Michahelles
https://arxiv.org/abs/2506.15293

Designing Intent: A Multimodal Framework for Human-Robot Cooperation in Industrial Workspaces
As robots enter collaborative workspaces, ensuring mutual understanding between human workers and robotic systems becomes a prerequisite for trust, safety, and efficiency. In this position paper, we draw on the cooperation scenario of the AIMotive project in which a human and a cobot jointly perform assembly tasks to argue for a structured approach to intent communication. Building on the Situation Awareness-based Agent Transparency (SAT) framework and the notion of task abstraction levels, we …

Silicon Nitride Microresonator Raman Lasers
Yi Zheng, Haoyang Tan, Andreas Jacobsen, Yang Liu, Chaochao Ye, Yanjing Zhao, Cheng Xiang, Kresten Yvind, Minhao Pu
https://arxiv.org/abs/2506.12658

Silicon Nitride Microresonator Raman Lasers
Silicon nitride (SiN) has emerged as a promising platform for integrated nonlinear photonics because of its low propagation loss, wide transparency window, and CMOS compatibility. Nonlinear processes arising from photon-electron interactions, such as Kerr frequency comb generation and second harmonic generation, have been extensively explored. In contrast, photon-phonon interaction-based nonlinearities, such as stimulated Raman scattering, remain largely unexplored in this integrated platform, …

This https://arxiv.org/abs/2503.21301 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Low-loss silicon nitride Kerr-microresonators fabricated with metallic etch masks via metal lift-off
Stoichiometric silicon nitride has emerged as a widely used integrated photonic material owing to its high index of refraction, nonlinear optical properties, and broad transparency window spanning visible to mid-IR frequencies. However, silicon nitride is generally more resistant to reactive ion etching than are typical etch masks made of polymer-based resist. This necessitates resist layers that are significantly thicker than the silicon nitride and results in mask patterns which are tall and …

TikTok's Research API: Problems Without Explanations
Carlos Entrena-Serrano, Martin Degeling, Salvatore Romano, Raziye Buse \c{C}etin
https://arxiv.org/abs/2506.09746

TikTok's Research API: Problems Without Explanations
Following the Digital Services Act of 2023, which requires Very Large Online Platforms (VLOPs) and Very Large Online Search Engines (VLOSEs) to facilitate data accessibility for independent research, TikTok augmented its Research API access within Europe in July 2023. This action was intended to ensure compliance with the DSA, bolster transparency, and address systemic risks. Nonetheless, research findings reveal that despite this expansion, notable limitations and inconsistencies persist withi…