Tootfinder

epinions_trust: Epinions trust network (2003)
A who-trusts-whom online social network of the general consumer review site Epinions.com. Members can decide whether to "trust" each other. These trust relationships are combined with review ratings to determine which reviews are shown to the user.
This network has 75888 nodes and 508837 edges.
Tags: Social, Online, Unweighted

UN scientists propose ‘minerals trust’ to power green energy, protect communities
https://news.mongabay.com/short-article/2025/06/un-scientists-propose-minerals-trust-to-power-green-energy-protect-communities/

TRUST: Test-time Resource Utilization for Superior Trustworthiness
Haripriya Harikumar, Santu Rana
https://arxiv.org/abs/2506.06048 https://

TRUST: Test-time Resource Utilization for Superior Trustworthiness
Standard uncertainty estimation techniques, such as dropout, often struggle to clearly distinguish reliable predictions from unreliable ones. We attribute this limitation to noisy classifier weights, which, while not impairing overall class-level predictions, render finer-level statistics less informative. To address this, we propose a novel test-time optimization method that accounts for the impact of such noise to produce more reliable confidence estimates. This score defines a monotonic subs…

epinions_trust: Epinions trust network (2003)
A who-trusts-whom online social network of the general consumer review site Epinions.com. Members can decide whether to "trust" each other. These trust relationships are combined with review ratings to determine which reviews are shown to the user.
This network has 75888 nodes and 508837 edges.
Tags: Social, Online, Unweighted

Enhanced Trust Region Sequential Convex Optimization for Multi-Drone Thermal Screening Trajectory Planning in Urban Environments
Kaiyuan Chen, Zhengjie Hu, Shaolin Zhang, Yuanqing Xia, Wannian Liang, Shuo Wang
https://arxiv.org/abs/2506.06012

Enhanced Trust Region Sequential Convex Optimization for Multi-Drone Thermal Screening Trajectory Planning in Urban Environments
The rapid detection of abnormal body temperatures in urban populations is essential for managing public health risks, especially during outbreaks of infectious diseases. Multi-drone thermal screening systems offer promising solutions for fast, large-scale, and non-intrusive human temperature monitoring. However, trajectory planning for multiple drones in complex urban environments poses significant challenges, including collision avoidance, coverage efficiency, and constrained flight environmen…

Some WordPress veterans and the Linux Foundation start FAIR, a federated update network to decentralize WordPress infrastructure and boost supply chain security (Chris Stokel-Walker/Fast Company)
https://www.fastcompany.com/91347003/wordp

WordPress veterans launch FAIR project to tackle security and control concerns
Backed by the Linux Foundation, the new federated update network aims to decentralize WordPress infrastructure, strengthen supply chain security, and restore trust amid growing tensions with Automattic.

The 79th edition of De Programmatica Ipsum is out!
This month, we explore trust and its importance in human society and culture; in the Library section, we review “Geekonomics” by David Rice; and in our Vidéothèque section, we watch a video on the Veritasium channel where Derek Muller hacks Linus Sebastian’s phone.
https://deprogrammaticaipsum.com/issue-79-trust/

FAA to eliminate floppy disks used in air traffic control systems - Windows 95 also being phased out
https://www.tomshardware.com/pc-components/storage/the-faa-seeks-to-eliminate-floppy-disk-usage-in-air-traffic-co…

FAA to eliminate floppy disks used in air traffic control systems - Windows 95 also being phased out
Millions trust their lives daily to floppy disks and Windows 95.

It seems that chatting with AIs can either cause or trigger psychotic episodes
Please be careful. My suggestion, if you're using AI frequently, would be to tell someone you trust that you're using AI frequently, ask them to keep an eye on you, and even allow them to access your chat log.

People Are Losing Loved Ones to AI-Fueled Spiritual Fantasies
Marriages and families are falling apart as people are sucked into fantasy worlds of spiritual prophecy by AI tools like OpenAI's ChatGPT

"The damage isn't theoretical. It's active. It's live. And it's reshaping the world. Trade routes are shifting. Investment is diversifying. Global power is rebalancing. China, Korea, and Japan are shaking hands. All of it is premised on a hard-earned truth: the United States cannot be trusted to lead. Not because of one man but because of what half the country has chosen to normalize. Not because of Trump alone but because every institution built to restrain him failed and then got in line."
#USPolitics
https://www.theindex.media/trust-is-dead-trump-keeps-selling-the-corpse/?ref=dispatches-newsletter

#WordWeavers 9 June: MC POV: Whose advice do you value the most?
MC: There are some people I listen to, whose advice I consider. But one of the few that can make me go along with a course of action despite my misgivings, is my brother. But don't you dare tell him that, he'll never let me hear the end of it. I trust him with my life, but sometimes he's insufferable.

epinions_trust: Epinions trust network (2003)
A who-trusts-whom online social network of the general consumer review site Epinions.com. Members can decide whether to "trust" each other. These trust relationships are combined with review ratings to determine which reviews are shown to the user.
This network has 75888 nodes and 508837 edges.
Tags: Social, Online, Unweighted

Para los regalones mšs metaleros también tenemos lanzamientos musicales. «God Of Angels Trust» de los daneses Volbeat.
#Volbeat

Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems
Pengfei He, Zhenwei Dai, Xianfeng Tang, Yue Xing, Hui Liu, Jingying Zeng, Qiankun Peng, Shrivats Agrawal, Samarth Varshney, Suhang Wang, Jiliang Tang, Qi He
https://arxiv.org/abs/2506.02546

Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems
Large Language Model-based Multi-Agent Systems (LLM-MAS) have demonstrated strong capabilities in solving complex tasks but remain vulnerable when agents receive unreliable messages. This vulnerability stems from a fundamental gap: LLM agents treat all incoming messages equally without evaluating their trustworthiness. While some existing studies approach the trustworthiness, they focus on a single type of harmfulness rather than analyze it in a holistic approach from multiple trustworthiness p…

"We can't verify that the DNS root servers are running the code they say they are nor trust that the root zone won't be manipulated by a rogue U.S. administration. Therefore, we need [something completely different]."
DNS is a convenient example, but substitute almost any widely deployed subsystem or tech of your choice.
I find these sorts of hand wavy, shallow 240-character arguments to be as easily dismissed as they are so often made.

“As design ethicist Aral Balkan explains: ‘Dark patterns might boost short-term metrics, but they ultimately corrode trust and damage brand reputation. Ethical design creates sustainable relationships rather than one-time transactions.’”
https://ui-deploy.com/blog/e…

Ethical Dark Patterns: Identifying and Avoiding Manipulative Design
Learn to identify and avoid manipulative dark patterns in favor of ethical design that builds long-term user trust.

(1/2) Can you trust what you hear? 🎧 Episode 344 of the EdTech Situation Room (from 15 Jan 2025) explores AI voice tech, misinformation, and media ethics in the digital age.
on Substack:
https://open.substack.com/p…

Some of these numbers don't add up... Don't trust this data...
https://ggwash.org/view/99723/new-data-tool-reveals-access-to-built-environment-features-across-dc-neighborhoods

This https://arxiv.org/abs/2404.06432 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Missing Pieces: How Do Designs that Expose Uncertainty Longitudinally Impact Trust in AI Decision Aids? An In Situ Study of Gig Drivers
Decision aids based on artificial intelligence (AI) induce a wide range of outcomes when they are deployed in uncertain environments. In this paper, we investigate how users' trust in recommendations from an AI decision aid is impacted over time by designs that expose uncertainty in predicted outcomes. Unlike previous work, we focus on gig driving - a real-world, repeated decision-making context. We report on a longitudinal mixed-methods study ($n=51$) where we measured gig drivers' trust as th…

I've had a number of reasons to want to understand the standards (did you know that the industry work group creating the standards has vested interests in what is/ is not included, what the test method is, etc. So of course you can trust them without knowing the details, right?).
So this👇 is spot on:
https://

I've had a number of reasons to want to understand the standards (did you know that the industry work group creating the standards has vested interests in what is/ is not included, what the test method is, etc. So of course you can trust them without knowing the details, right?).
So this👇 is spot on:
https://

@… You mean, once one user on an instance can see a post, every user can?
You would have to trust that “followers only” is respected, but that’s also true for everything else. Creators on Patreon trust that I don’t forward the emails to others, or give them read-only access to my mailbox.

Trust the process: mapping data-driven reconstructions to informed models using stochastic processes
Stefano Rinaldi, Alexandre Toubiana, Jonathan R. Gair
https://arxiv.org/abs/2506.05153

Trust the process: mapping data-driven reconstructions to informed models using stochastic processes
Gravitational-wave astronomy has entered a regime where it can extract information about the population properties of the observed binary black holes. The steep increase in the number of detections will offer deeper insights, but it will also significantly raise the computational cost of testing multiple models. To address this challenge, we propose a procedure that first performs a non-parametric (data-driven) reconstruction of the underlying distribution, and then remaps these results onto a …

This https://arxiv.org/abs/2505.01651 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Human-AI Governance (HAIG): A Trust-Utility Approach
This paper introduces the HAIG framework for analysing trust dynamics across evolving human-AI relationships. Current categorical frameworks (e.g., "human-in-the-loop" models) inadequately capture how AI systems evolve from tools to partners, particularly as foundation models demonstrate emergent capabilities and multi-agent systems exhibit autonomous goal-setting behaviours. As systems advance, agency redistributes in complex patterns that are better represented as positions along continua rat…

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

New blog post by a colleague: Will quantum computing topple SAML?
https://trustandidentity.jiscinvolve.org/wp/2025/05/16/will-quantum-computing-topple-saml/

Will quantum computing topple SAML? - Trust and Identity
  The UK federation is arguably one of the largest SAML federations in the Research and Education sector, with over 1200 member organisations spanning Higher Education (HE) and Further Education (FE), and with significant representation from the research and commercial sectors. We are a trust broker. A level playing field. We help people securely access […]

The best thing I can say so far is our seats are covered...
#baseball
#braves
#mlb

Next investigation should be into the councillors themselves
Warrnambool council abandons peer-reviewed flood study, citing 'supposed science' - ABC News
https://www.abc.net.au/news/2025-06-05/regiona…

Warrnambool council abandons peer-reviewed flood study, questioning 'supposed science'
An independent flood study flagging high-risk areas in Victoria's south-west is abandoned after councillors decide they do not trust the data.

Trust in the Trenches: NFC East offensive line rankings for 2025 https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/02/ranking-offensive-line-nfc-east-cowboys-eagles-command…

A democracy is – how Pratchett puts it in Small Gods – a system where everyone distrusts the government, so everyone is somehow (un-)happy about it. And this is how it is meant to be and where checks and balances comes in.
And now there is a Trump administration where a alarming number of people just trust everything done by them regardless of what it is.¹ If we needed another sign² of Trumpism being far from being democratic: here it is.
I really hope people in Germany continue …

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things
Kai Li, Conggai Li, Xin Yuan, Shenghong Li, Sai Zou, Syed Sohail Ahmed, Wei Ni, Dusit Niyato, Abbas Jamalipour, Falko Dressler, Ozgur B. Akan
https://arxiv.org/abs/2505.23792

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things
This paper focuses on Zero-Trust Foundation Models (ZTFMs), a novel paradigm that embeds zero-trust security principles into the lifecycle of foundation models (FMs) for Internet of Things (IoT) systems. By integrating core tenets, such as continuous verification, least privilege access (LPA), data confidentiality, and behavioral analytics into the design, training, and deployment of FMs, ZTFMs can enable secure, privacy-preserving AI across distributed, heterogeneous, and potentially adversari…

So, if you've been using Fly to deploy stuff you might want to reconsider. Given this true believer post on "AI" my trust into the security of their infrastructure has plummeted to zero. (My one deployment I had with them was incidentally already deleted before reading this 😅).
https://fly.io/blog/youre-all-nuts/

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…

The cats trust me more than the fish do. They can sense I'm not going to flush them down the toilet.

This https://arxiv.org/abs/2505.15173 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

AvatarShield: Visual Reinforcement Learning for Human-Centric Video Forgery Detection
The rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies, particularly in video generation, has led to unprecedented creative capabilities but also increased threats to information integrity, identity security, and public trust. Existing detection methods, while effective in general scenarios, lack robust solutions for human-centric videos, which pose greater risks due to their realism and potential for legal and ethical misuse. Moreover, current detection approach…

Sources: JPMorgan aims to let clients use some crypto-linked assets as collateral for loans in the coming weeks, starting with BlackRock's iShares Bitcoin Trust (Bloomberg)
https://www.bloomberg.com/news/articles/20

How to Favicon in 2025: Three files that fit most needs
It’s time to rethink how we cook a set of favicons for modern browsers and stop the icon generator madness. Frontend developers currently have to deal with 20 static PNG files just to display a tiny website logo in a browser tab or on a touchscreen. Read on to see how to take a smarter approach and adopt a minimal set of icons that fits most modern needs.
🖌️

How to Favicon in 2025: Three files that fit most needs—Martian Chronicles, Evil Martians’ team blog
Prefer SVG over PNG, trust browsers to downscale, drop obscure formats—the ultimate, exhaustive guide to favicons for modern web. Includes steps for static HTML and Webpack.

If you’re asking yourself … How to Favicon in 2025?!?, this post by @… has you covered:
https://evilmartians.com/chronicles/ho

How to Favicon in 2025: Three files that fit most needs—Martian Chronicles, Evil Martians’ team blog
Prefer SVG over PNG, trust browsers to downscale, drop obscure formats—the ultimate, exhaustive guide to favicons for modern web. Includes steps for static HTML and Webpack.

🇺🇦 #NowPlaying on BBCRadio3's #SoundOfCinema
Thomas Newman & Studio Orchestra:
🎵 Finding Nemo "Why Trust a Shark?" "Friends Not Food"
#ThomasNewman #StudioOrchestra
Please 🔁 BOOST to share what you like
- your followers don't see if you ⭐ favourite a post

"I think it is a huge mistake for people to assume that they can trust AI when they do not trust each other. The safest way to develop superintelligence is to first strengthen trust between humans, and then cooperate with each other to develop superintelligence in a safe manner. But what we are doing now is exactly the opposite. Instead, all efforts are being directed toward developing a superintelligence."
#AGI #AI
https://www.wired.com/story/questions-answered-by-yuval-noah-harari-for-wired-ai-artificial-intelligence-singularity/

The more I think about those, the more I want #PGP Web of Trust for everything: cryptographically autographed content where I decide the degree if trust for the author.
It failed for a reason, but still better than #WorldCoin…

Q&A with Tom Llamas, the new permanent anchor of NBC Nightly News, on the importance of network news despite a shrinking audience, low trust in media, and more (Ted Johnson/Deadline)
https://deadline.com/2025/06/tom-llamas-nbc-nightly-news-pla…

Tom Llamas Lays Out His Plans For ‘NBC Nightly News’: “We’re Going To Run Our Own Race, And I Think That’s How You Get To Number One”
Tom Llamas in an interview with Deadline talks about his plans after he succeeds Lester Holt as anchor of the NBC Nightly News.

Benchmarking Time-localized Explanations for Audio Classification Models
Cecilia Bola\~nos, Leonardo Pepino, Martin Meza, Luciana Ferrer
https://arxiv.org/abs/2506.04391

Benchmarking Time-localized Explanations for Audio Classification Models
Most modern approaches for audio processing are opaque, in the sense that they do not provide an explanation for their decisions. For this reason, various methods have been proposed to explain the outputs generated by these models. Good explanations can result in interesting insights about the data or the model, as well as increase trust in the system. Unfortunately, evaluating the quality of explanations is far from trivial since, for most tasks, there is no clear ground truth explanation to u…

🇺🇦 #NowPlaying on #BBC6Music's #LaurenLaverne
1-800 GIRLS:
🎵 trust me
#1800GIRLS
#newRelease 🆕 single
https://1-800girls.bandcamp.com/track/trust-me
https://open.spotify.com/track/0dlrTpcU6rkElbDhPw4SUO

Interested in how "sovereign EU" AWS will work with Cloudfront and Trust Services (certificates) as these still currently require the use of us-east-1... and the subsequent agreement to submit to US courts for disputes.
https://www.theregister.com/2025/06/03/aws

AWS forms EU-based cloud unit as customers fret about Trump 2.0
: Locally run, Euro-controlled, ‘legally independent,' and ready by the end of 2025

#LB Esse texto sobre LLMs do @… é bem grande, mas excelente. Vale a leitura, apesar do tamanho.
…

This https://arxiv.org/abs/2505.23397 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

A Unified Framework for Human AI Collaboration in Security Operations Centers with Trusted Autonomy
This article presents a structured framework for Human-AI collaboration in Security Operations Centers (SOCs), integrating AI autonomy, trust calibration, and Human-in-the-loop decision making. Existing frameworks in SOCs often focus narrowly on automation, lacking systematic structures to manage human oversight, trust calibration, and scalable autonomy with AI. Many assume static or binary autonomy settings, failing to account for the varied complexity, criticality, and risk across SOC tasks c…

This https://arxiv.org/abs/2502.12267 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

NeuroStrata: Harnessing Neurosymbolic Paradigms for Improved Design, Testability, and Verifiability of Autonomous CPS
Autonomous cyber-physical systems (CPSs) leverage AI for perception, planning, and control but face trust and safety certification challenges due to inherent uncertainties. The neurosymbolic paradigm replaces stochastic layers with interpretable symbolic AI, enabling determinism. While promising, challenges like multisensor fusion, adaptability, and verification remain. This paper introduces NeuroStrata, a neurosymbolic framework to enhance the testing and verification of autonomous CPS. We out…

CiteEval: Principle-Driven Citation Evaluation for Source Attribution
Yumo Xu, Peng Qi, Jifan Chen, Kunlun Liu, Rujun Han, Lan Liu, Bonan Min, Vittorio Castelli, Arshit Gupta, Zhiguo Wang
https://arxiv.org/abs/2506.01829

CiteEval: Principle-Driven Citation Evaluation for Source Attribution
Citation quality is crucial in information-seeking systems, directly influencing trust and the effectiveness of information access. Current evaluation frameworks, both human and automatic, mainly rely on Natural Language Inference (NLI) to assess binary or ternary supportiveness from cited sources, which we argue is a suboptimal proxy for citation evaluation. In this work we introduce CiteEval, a citation evaluation framework driven by principles focusing on fine-grained citation assessment wit…

pgp_strong: PGP web of trust (2009)
Strongly connected component of the Pretty-Good-Privacy (PGP) web of trust among users, circa November 2009.
This network has 39796 nodes and 301498 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/pgp_strong

I'm getting a lot of mileage out of ChatGPT but it's very hard to trust it when it so confidently gets the most basic arithmetic wrong. I asked it to find an integer N such that N choose 2 = 90. It says 15. But 15 choose 2 = 105, not 90. It showed me a convincing looking equation but it's literally just wrong math.

This https://arxiv.org/abs/2503.16920 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Assessing AI Explainability: A Usability Study Using a Novel Framework Involving Clinicians
An AI design framework was developed based on three core principles, namely understandability, trust, and usability. The framework was conceptualized by synthesizing evidence from the literature and by consulting with experts. The initial version of the AI Explainability Framework was validated based on an in-depth expert engagement and review process. For evaluation purposes, an AI-anchored prototype, incorporating novel explainability features, was built and deployed online. The primary funct…

#F35 #killswitch
« Bien sûr, il y a un bouton d'arrêt. Tout ce qui est équipé d'un logiciel ou d'une connectivité internet est doté d'un kill switch. C'est comme ça que ça marche - bienvenue dans la société moderne ».

This https://arxiv.org/abs/2503.00600 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDB_…

Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems
AI-augmented data processing systems (DPSs) integrate large language models (LLMs) into query pipelines, allowing powerful semantic operations on structured and unstructured data. However, the reliability (a.k.a. trust) of these systems is fundamentally challenged by the potential for LLMs to produce errors, limiting their adoption in critical domains. To help address this reliability bottleneck, we introduce semantic integrity constraints (SICs) -- a declarative abstraction for specifying and …

My new post for #HealOurCulture: “Trust and Democracy”
https://healourculture.org/2025/05/15/trust-and-democracy/
Also on Substack:

Can you trust AI with your archives? On April 2 at 5pm EDT, UMaine's Digital Curation program hosts a webinar with Sara and Ben Brumfield on blending human crowdsourcing with AI's scale and speed. Join us for a discussion of practical uses and thorny ethics!
https://blog.still-wate…

Rather they are, amongst other things, that emails in Arabic be sent when Trust & Security moderates an account, so that recipients can understand how platform rules have been breached.
Given the extremity of the situation, this seems like an aggressively moderate ask.

Documenting Your Prompts a Best Practice for Success
#promptengineering

I'm having this wild idea of getting an SSD just for Linux, since I'm renewing the PC I only use for games (that I'm often too tired to play).
A friend keep saying that games just work on Linux now, but he's one of those tiling wm users so I'm not sure if I can trust him... 🧐

Comment on "Politicizing science funding undermines public trust in science, academic freedom, and the unbiased generation of knowledge"
John M. Herbert
https://arxiv.org/abs/2505.18196

Comment on "Politicizing science funding undermines public trust in science, academic freedom, and the unbiased generation of knowledge"
In a commentary published in mid-2024 (to which the present work is a direct response), a number of scientists argue that U.S. funding agencies have "politicized" the process by which grants are awarded, in service of diversifying the scientific workforce. The commentary in question, however, makes numerous unfounded assertions while recycling citations to a fusillade of opinion essays written by the same cabal of authors, in an effort to resemble a work of serious scholarship. Basic fact-check…

This https://arxiv.org/abs/2505.02945 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

The Cognitive Foundations of Economic Exchange: A Modular Framework Grounded in Behavioral Evidence
A key challenge in multi-agent AI is modeling social cooperation under realistic behavioral constraints. Many foundational concepts in economics and ethics such as "trust" or "morality" are often defined informally, without operational criteria or cognitive grounding, which limits their testability and implementation in artificial agents. Drawing on converging empirical evidence from primate behavior, infant cognition, and economic anthropology, we propose a conceptual framework composed of thr…

Did Freddie Mercury have a secret daughter? I need some sort of proof.
I don't trust the source which is Lesley-Ann Jones.
Also, if Freddie had a daughter he loved and valued, it seems weird that there is no hint of any of his money being allocated to her in his will.
#FreddieMercury #Queen

All tools create a path of least resistance. When it comes to AI chatbots, that path is to trust the AI's outputs.
Unfortunately, all LLMs hallucinate. And as users get used to relying on the machine, their ability and willingness to spot these errors deteriorates.
Blaming the user for this is irresponsible. The problem is caused by the way these tools are designed - so it's up to us, as designers, to fix it.

This https://arxiv.org/abs/2505.23847 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems
Large language models (LLMs) are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster response, supply-chain optimization, and other tasks that demand decentralized expertise without surrendering data ownership. Yet, cross-domain collaboration shatters the unified trust assumptions behind current alignment and containment techniques. An agent benign in isolation may, when receiving messages from an untrusted peer, leak secrets or viola…

“when I stopped chasing eyeballs, I started building trust. When I ditched the algorithm, I found an audience. Not a crowd—an audience. People who don’t just scroll past, but actually stop. Read. Think. Reply.”
- @…
https://www.joanwestenberg.com/notes-from-the-exit-why-i-left-the-attention-economy/

This https://arxiv.org/abs/2505.10661 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

It's only fair when I think it's fair: How Gender Bias Alignment Undermines Distributive Fairness in Human-AI Collaboration
Human-AI collaboration is increasingly relevant in consequential areas where AI recommendations support human discretion. However, human-AI teams' effectiveness, capability, and fairness highly depend on human perceptions of AI. Positive fairness perceptions have been shown to foster trust and acceptance of AI recommendations. Yet, work on confirmation bias highlights that humans selectively adhere to AI recommendations that align with their expectations and beliefs -- despite not being necessa…

ISMAF: Intrinsic-Social Modality Alignment and Fusion for Multimodal Rumor Detection
Zihao Yu, Xiang Li, Jing Zhang
https://arxiv.org/abs/2505.24176 https:…

ISMAF: Intrinsic-Social Modality Alignment and Fusion for Multimodal Rumor Detection
The rapid dissemination of rumors on social media highlights the urgent need for automatic detection methods to safeguard societal trust and stability. While existing multimodal rumor detection models primarily emphasize capturing consistency between intrinsic modalities (e.g., news text and images), they often overlook the intricate interplay between intrinsic and social modalities. This limitation hampers the ability to fully capture nuanced relationships that are crucial for a comprehensive …

Small Multifamily Investment Trends Report Q2 2025
Arbor Realty Trust - May 22, 2025
“Amid ongoing macroeconomic uncertainty, the small multifamily sector remains well-positioned to weather volatility and build on market momentum as the economy navigates stormy conditions.”

Small Multifamily Investment Trends Report Q2 2025 - Arbor Realty
Asset Valuations Edge Higher as Credit Conditions Tighten

This https://arxiv.org/abs/2505.21907 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy
AI copilots, context-aware, AI-powered systems designed to assist users in tasks such as software development and content creation, are becoming integral to modern workflows. As these systems grow in capability and adoption, personalization has emerged as a cornerstone for ensuring usability, trust, and productivity. Central to this personalization is preference optimization: the ability of AI copilots to detect, interpret, and align with individual user preferences. While personalization techn…

I understand why sensible people say not to trust "answers" from AI/LLM but I don't understand why they then act like that invalidates the usefulness of LLMs.
abbv dividends 2021 through 2025?
Answer for some reason lists a chart for Agilent Technologies, Inc.
Then lists a chart showing dividends for ABBV by year (including quarterly payment amounts).
I can see those amounts are close (probably exactly right...) and for my quick estimate good enough.

#WordWeavers 30. What’s the worst betrayal your MC has experienced?
That's a major plot twist I am not comfortable giving up. He's a soldier in a context where betrayals are rare and can be deadly, and even if it is not, it severely damages his ability to trust again.

"Labour issue Supplementary Badger Cull licences for 2025!"
#UK #UnitedKingdom #Badgers #Animals

Labour issue Supplementary Badger Cull licences for 2025!
Natural England confirms second year of badger culling under 2024 Supplementary licences, challenged in upcoming court case by Badger Trust and Wild Justice.

As a former Pebble user (and a big fan of the whole concept) I'm looking at this with interest. At the same time though, this very project killed my interest in any hardware project funded on Kickstarter, so I have trust issues.
https://store.repebble.com/countdown

🇺🇦 #NowPlaying on #BBC6Music's #NewMusicFix
1-800 GIRLS:
🎵 trust me
#1800GIRLS
#newRelease 🆕 single
https://1-800girls.bandcamp.com/track/trust-me
https://open.spotify.com/track/0dlrTpcU6rkElbDhPw4SUO

Reducing energy poverty increases trust https://www.sciencedirect.com/science/article/pii/S0140988325003846 @…

This https://arxiv.org/abs/2505.17418 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI
Generative AI (genAI) tools are advertised as productivity aids. Yet, issues related to miscalibrated trust and usage friction continue to hinder their adoption. Additionally, AI can be exclusionary, failing to support diverse users adequately, further exacerbating these concerns. One such aspect of diversity is cognitive diversity -- variations in users' cognitive styles -- that leads to divergence in interaction styles. When an individual's cognitive styles are unsupported, it creates additio…

This https://arxiv.org/abs/2501.16007 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
Large language models (LLMs) have proven to be very capable, but access to frontier models currently relies on inference providers. This introduces trust challenges: how can we be sure that the provider is using the model configuration they claim? We propose TOPLOC, a novel method for verifiable inference that addresses this problem. TOPLOC leverages a compact locality-sensitive hashing mechanism for intermediate activations, which can detect unauthorized modifications to models, prompts, or pr…

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…

So, two people who were readers of my book on change are bringing out books on change. This happened with my PhD (& my game). Two people published books on my research (with unrepresentative credit). This is why I haven't presented my work publicly this time.
On the one hand, it's great that the ideas spread (they're not mine anyway). On the other, I don't trust these folks & don't respect them anymore.
I need to learn who is safe to share my WIP wit…

#WordWeavers 30. What’s the worst betrayal your MC has experienced?
That's a major plot twist I am not comfortable giving up. He's a soldier in a context where betrayals are rare and can be deadly, and even if it is not, it severely damages his ability to trust again.

Sonnet 048 - XLVIII
How careful was I when I took my way,
Each trifle under truest bars to thrust,
That to my use it might unused stay
From hands of falsehood, in sure wards of trust!
But thou, to whom my jewels trifles are,
Most worthy comfort, now my greatest grief,
Thou best of dearest, and mine only care,
Art left the prey of every vulgar thief.
Thee have I not lock'd up in any chest,
Save where thou art not, though I feel t…

This https://arxiv.org/abs/2412.16772 has been replaced.
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Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
The ongoing revolution in language modeling has led to various novel applications, some of which rely on the emerging social abilities of large language models (LLMs). Already, many turn to the new cyber friends for advice during the pivotal moments of their lives and trust them with the deepest secrets, implying that accurate shaping of the LLM's personality is paramount. To this end, state-of-the-art approaches exploit a vast variety of training data, and prompt the model to adopt a particula…

This https://arxiv.org/abs/2505.23821 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

SpeechVerifier: Robust Acoustic Fingerprint against Tampering Attacks via Watermarking
With the surge of social media, maliciously tampered public speeches, especially those from influential figures, have seriously affected social stability and public trust. Existing speech tampering detection methods remain insufficient: they either rely on external reference data or fail to be both sensitive to attacks and robust to benign operations, such as compression and resampling. To tackle these challenges, we introduce SpeechVerifer to proactively verify speech integrity using only the …

Self-driving technologies need the help of the public: A narrative review of the evidence
Jonathan Smith, Siddartha Khastgir
https://arxiv.org/abs/2505.23472

Self-driving technologies need the help of the public: A narrative review of the evidence
If public trust is lot in a new technology early in its life cycle it can take much more time for the benefits of that technology to be realised. Eventually tens-of-millions of people will collectively have the power to determine self-driving technology success of failure driven by their perception of risk, data handling, safety, governance, accountability, benefits to their life and more. This paper reviews the evidence on safety critical technology covering trust, engagement, and acceptance. …

BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text
Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori
https://arxiv.org/abs/2505.18207

BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text
In scientific research, limitations refer to the shortcomings, constraints, or weaknesses within a study. Transparent reporting of such limitations can enhance the quality and reproducibility of research and improve public trust in science. However, authors often a) underreport them in the paper text and b) use hedging strategies to satisfy editorial requirements at the cost of readers' clarity and confidence. This underreporting behavior, along with an explosion in the number of publications, …

#AI poses a threat... that you trust in it too much, use it incorrectly and mess up your company, career or life. You're better off thinking of it as an artificial content generator than anything #intelligent.

SpeechVerifier: Robust Acoustic Fingerprint against Tampering Attacks via Watermarking
Lingfeng Yao (University of Houston), Chenpei Huang (University of Houston), Shengyao Wang (Waseda University), Junpei Xue (Waseda University), Hanqing Guo (University of Hawaii at M\=anoa), Jiang Liu (Waseda University), Xun Chen (Independent Researcher), Miao Pan (University of Houston)

SpeechVerifier: Robust Acoustic Fingerprint against Tampering Attacks via Watermarking
With the surge of social media, maliciously tampered public speeches, especially those from influential figures, have seriously affected social stability and public trust. Existing speech tampering detection methods remain insufficient: they either rely on external reference data or fail to be both sensitive to attacks and robust to benign operations, such as compression and resampling. To tackle these challenges, we introduce SpeechVerifer to proactively verify speech integrity using only the …

Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems
Ronny Ko, Jiseong Jeong, Shuyuan Zheng, Chuan Xiao, Taewan Kim, Makoto Onizuka, Wonyong Shin
https://arxiv.org/abs/2505.23847

Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems
Large language models (LLMs) are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster response, supply-chain optimization, and other tasks that demand decentralized expertise without surrendering data ownership. Yet, cross-domain collaboration shatters the unified trust assumptions behind current alignment and containment techniques. An agent benign in isolation may, when receiving messages from an untrusted peer, leak secrets or viola…

This https://arxiv.org/abs/2502.19082 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Trust-Enabled Privacy: Social Media Designs to Support Adolescent User Boundary Regulation
Adolescents heavily rely on social media to build and maintain close relationships, yet current platform designs often make self-disclosure feel risky or uncomfortable. Through a three-part study involving 19 teens aged 13-18, we identify key barriers to meaningful self-disclosure on social media. Our findings reveal that while these adolescents seek casual, frequent sharing to strengthen relationships, existing platform norms often discourage such interactions. Based on our co-design interview…

This https://arxiv.org/abs/2502.20995 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems
With the growing adoption of retrieval-augmented generation (RAG) systems, various attack methods have been proposed to degrade their performance. However, most existing approaches rely on unrealistic assumptions in which external attackers have access to internal components such as the retriever. To address this issue, we introduce a realistic black-box attack based on the RAG paradox, a structural vulnerability arising from the system's effort to enhance trust by revealing both the retrieved …

"Exposed: The Politics Behind Natural England’s Controversial Badger Cull Licences"
#UK #UnitedKingdom #Badgers #Animals

Exposed: The Politics Behind Natural England’s Controversial Badger Cull Licences
Badger Trust and Wild Justice expose troubling evidence from a Judicial Review revealing Natural England's controversial badger cull licensing. 

🇺🇦 #NowPlaying on BBCRadio3's #TheEarlyMusicShow
Orlando Gibbons, The Consort of Musicke & Anthony Rooley:
🎵 Trust not too much, fair youth
#OrlandoGibbons #TheConsortofMusicke #AnthonyRooley
#Spotify

This https://arxiv.org/abs/2505.19301 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control
Traditional Identity and Access Management (IAM) systems, primarily designed for human users or static machine identities via protocols such as OAuth, OpenID Connect (OIDC), and SAML, prove fundamentally inadequate for the dynamic, interdependent, and often ephemeral nature of AI agents operating at scale within Multi Agent Systems (MAS), a computational system composed of multiple interacting intelligent agents that work collectively. This paper posits the imperative for a novel Agentic AI I…

This https://arxiv.org/abs/2412.04629 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Argumentative Experience: Reducing Confirmation Bias on Controversial Issues through LLM-Generated Multi-Persona Debates
Large language models (LLMs) are enabling designers to give life to exciting new user experiences for information access. In this work, we present a system that generates LLM personas to debate a topic of interest from different perspectives. How might information seekers use and benefit from such a system? Can centering information access around diverse viewpoints help to mitigate thorny challenges like confirmation bias in which information seekers over-trust search results matching existing …

#AI poses a threat... that you trust in it too much, use it incorrectly and mess up your company, career or life. You're better off thinking of it as an artificial content generator than anything #intelligent.