Tootfinder

Senate Republicans share an AI-generated video falsely depicting Chuck Schumer saying on camera comments he made in a print interview on the government shutdown (Thomas Beaumont/Associated Press)
https://apnews.com/article/schumer-art

GOP uses AI-generated video in anti-Schumer ad
Senate Republican campaign leaders are using artificial intelligence-generated video to falsely depict Senate Democratic Leader Chuck Schumer appearing to say on camera comments he made in a print publication interview about the political impacts of the partial government shutdown. The 30-second digital ad from the National Republican Senate Committee features the Democratic New York senator appearing to say on camera about the shutdown, now in its 3rd week, “Every day gets better for us.” …

Advancing Medical Artificial Intelligence Using a Century of Cases
Thomas A. Buckley, Riccardo Conci, Peter G. Brodeur, Jason Gusdorf, Sourik Beltr\'an, Bita Behrouzi, Byron Crowe, Jacob Dockterman, Muzzammil Muhammad, Sarah Ohnigian, Andrew Sanchez, James A. Diao, Aashna P. Shah, Daniel Restrepo, Eric S. Rosenberg, Andrew S. Lea, Marinka Zitnik, Scott H. Podolsky, Zahir Kanjee, Raja-Elie E. Abdulnour, Jacob M. Koshy, Adam Rodman, Arjun K. Manrai

Advancing Medical Artificial Intelligence Using a Century of Cases
BACKGROUND: For over a century, the New England Journal of Medicine Clinicopathological Conferences (CPCs) have tested the reasoning of expert physicians and, recently, artificial intelligence (AI). However, prior AI evaluations have focused on final diagnoses without addressing the multifaceted reasoning and presentation skills required of expert discussants. METHODS: Using 7102 CPCs (1923-2025) and 1021 Image Challenges (2006-2025), we conducted extensive physician annotation and automated …

Smartphone user experience designs still don't have decent intelligent graphical interfaces, speech interfaces, or text interfaces... though maybe a few things have changed since 2017. https://bookofadamz.com/when-will-smartphones-be-intelligent/

Artificial Emotion: A Survey of Theories and Debates on Realising Emotion in Artificial Intelligence
Yupei Li, Qiyang Sun, Michelle Schlicher, Yee Wen Lim, Bj\"orn W. Schuller
https://arxiv.org/abs/2508.10286

Artificial Emotion: A Survey of Theories and Debates on Realising Emotion in Artificial Intelligence
Affective Computing (AC) has enabled Artificial Intelligence (AI) systems to recognise, interpret, and respond to human emotions - a capability also known as Artificial Emotional Intelligence (AEI). It is increasingly seen as an important component of Artificial General Intelligence (AGI). We discuss whether in order to peruse this goal, AI benefits from moving beyond emotion recognition and synthesis to develop internal emotion-like states, which we term as Artificial Emotion (AE). This shift …

Assisting the Grading of a Handwritten General Chemistry Exam with Artificial Intelligence
Jan Cvengros, Gerd Kortemeyer
https://arxiv.org/abs/2509.10591 https://

Assisting the Grading of a Handwritten General Chemistry Exam with Artificial Intelligence
We explore the effectiveness and reliability of an artificial intelligence (AI)-based grading system for a handwritten general chemistry exam, comparing AI-assigned scores to human grading across various types of questions. Exam pages and grading rubrics were uploaded as images to account for chemical reaction equations, short and long open-ended answers, numerical and symbolic answer derivations, drawing, and sketching in pencil-and-paper format. Using linear regression analyses and psychometr…

Anthropic announces Skills for Claude, a tool with folders of instructions, scripts, and resources that Claude can load to improve performance on some tasks (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-intelligence/800868/anthro…

Anthropic turns to ‘skills’ to make Claude more useful at work
Anthropic has announced a new feature for its Claude AI chatbot called Skills, which should make AI agents more useful.

Artificial Intelligence in Breast Cancer Care: Transforming Preoperative Planning and Patient Education with 3D Reconstruction
Mustafa Khanbhai, Giulia Di Nardo, Jun Ma, Vivienne Freitas, Caterina Masino, Ali Dolatabadi, Zhaoxun "Lorenz" Liu, Wey Leong, Wagner H. Souza, Amin Madani
https://arxiv.org/abs/2509.12242

Artificial Intelligence in Breast Cancer Care: Transforming Preoperative Planning and Patient Education with 3D Reconstruction
Effective preoperative planning requires accurate algorithms for segmenting anatomical structures across diverse datasets, but traditional models struggle with generalization. This study presents a novel machine learning methodology to improve algorithm generalization for 3D anatomical reconstruction beyond breast cancer applications. We processed 120 retrospective breast MRIs (January 2018-June 2023) through three phases: anonymization and manual segmentation of T1-weighted and dynamic contras…

#RealEstate listing photos edited through artificial intelligence create false impressions of homes for sale online. How A.I. slop is making house hunting in #USA even more dishonest and distorted than ever before.

ChatGPT 5 power consumption could be as much as eight times higher than GPT 4
— Research institute estimates medium-sized GPT-5 response can consume up to 40 watt-hours of electricity

ChatGPT 5 power consumption could be as much as eight times higher than GPT 4 — research institute estimates medium-sized GPT-5 response can consume up to 40 watt-hours of electricity
But the figures rely on hardware and usage assumptions that may be inaccurate.

Large Language Models Meet Legal Artificial Intelligence: A Survey
Zhitian Hou, Zihan Ye, Nanli Zeng, Tianyong Hao, Kun Zeng
https://arxiv.org/abs/2509.09969 https://

Large Language Models Meet Legal Artificial Intelligence: A Survey
Large Language Models (LLMs) have significantly advanced the development of Legal Artificial Intelligence (Legal AI) in recent years, enhancing the efficiency and accuracy of legal tasks. To advance research and applications of LLM-based approaches in legal domain, this paper provides a comprehensive review of 16 legal LLMs series and 47 LLM-based frameworks for legal tasks, and also gather 15 benchmarks and 29 datasets to evaluate different legal capabilities. Additionally, we analyse the chal…

Half of journalists use generative AI, new survey shows. Yet the majority still think it harms trust in newsrooms.😆
https://www.politico.eu/article/journalists-use-generative-ai-new-survey-shows-artificial-intelligence-chatgpt/…

Half of journalists use generative AI, new survey shows
Yet the majority still think it harms trust in newsrooms.

Wait I thought it’s the future of humanity and close to AGI https://www.theverge.com/ai-artificial-intelligence/759965/sam-altman-openai-ai-bubble-interview

YouTube says it has paid out $100B to creators over the last four years and the number of YouTube channels making over $100K from TV screens has jumped 45% YoY (Zach Vallese/CNBC)
https://www.cnbc.com/2025/09/16/youtube-creators-pay.html

YouTube says it has paid creators more than $100 billion over last 4 years
The company also announced new artificial intelligence tools for YouTube Shorts, its short-form vertical video product.

A Decision Theoretic Perspective on Artificial Superintelligence: Coping with Missing Data Problems in Prediction and Treatment Choice
Jeff Dominitz, Charles F. Manski
https://arxiv.org/abs/2509.12388 …

A Decision Theoretic Perspective on Artificial Superintelligence: Coping with Missing Data Problems in Prediction and Treatment Choice
Enormous attention and resources are being devoted to the quest for artificial general intelligence and, even more ambitiously, artificial superintelligence. We wonder about the implications for our methodological research, which aims to help decision makers cope with what econometricians call identification problems, inferential problems in empirical research that do not diminish as sample size grows. Of particular concern are missing data problems in prediction and treatment choice. Essential…

Bitcoin Cross-Chain Bridge: A Taxonomy and Its Promise in Artificial Intelligence of Things
Guojun Tang, Carylyne Chan, Ning Nan, Spencer Yang, Jiayu Zhou, Henry Leung, Mohammad Mamun, Steve Drew
https://arxiv.org/abs/2509.10413

Bitcoin Cross-Chain Bridge: A Taxonomy and Its Promise in Artificial Intelligence of Things
Bitcoin's limited scripting capabilities and lack of native interoperability mechanisms have constrained its integration into the broader blockchain ecosystem, especially decentralized finance (DeFi) and multi-chain applications. This paper presents a comprehensive taxonomy of Bitcoin cross-chain bridge protocols, systematically analyzing their trust assumptions, performance characteristics, and applicability to the Artificial Intelligence of Things (AIoT) scenarios. We categorize bridge design…

Neuromorphic Intelligence
Marcel van Gerven
https://arxiv.org/abs/2509.11940 https://arxiv.org/pdf/2509.11940

Neuromorphic Intelligence
Neuromorphic computing seeks to replicate the remarkable efficiency, flexibility, and adaptability of the human brain in artificial systems. Unlike conventional digital approaches, which depend on massive computational and energy resources, neuromorphic systems exploit brain-inspired principles of computation to achieve orders of magnitude greater energy efficiency. By drawing on insights from artificial intelligence, neuroscience, physics, chemistry, and materials science, neuromorphic computi…

Bock, Gärtner und was weiß ich.
Wichtig in Erinnerung zu behalten: ein Schwerpunkt in Trumps kürzlich veröffentlichter KI-Stretegie ist der Export von KI-Technik und Services an "Freunde und Partner". Der auf "amerikanische Werte" getrimmte Müll soll auch hier die Hirne fluten. Die Fristen zur Umsetzung laufen, wer nächstes Jahr noch ChatGPT, Perplexity usw. nutzt, dem ist nicht mehr zu helfen.

"Margaret Boden, a British philosopher and cognitive scientist who used the language of computers to explore the nature of thought and creativity, leading her to prescient insights about the possibilities and limitations of artificial intelligence, died on July 18."
https://www.nytimes.com/202…

Margaret Boden, Philosopher of Artificial Intelligence, Dies at 88
A cognitive scientist, she used the language of computers to explore the nature of human thought and creativity, offering prescient insights about A.I.

Sounds like we need to find where the Cluely CEO is illegally living in his office in SoMa and throw him out. He's the guy who started the company with the motto "cheat on anything". https://www.nytimes.com/2025/10/16/technology/san-francisco-rent-ai-boo…

Renting a San Francisco Apartment in the A.I. Boom? Good Luck.
The artificial intelligence gold rush has pushed San Francisco’s residential rents up by the most in the nation, as A.I. companies lease apartments and offer rent stipends to employees.

Call for Papers: Religion and AI in Science Fiction and Horror
https://ift.tt/ziOgmLW
Book Title: A (Holy?) Ghost in the Machine: Religion and Artificial Intelligence in Science-Fiction…
via Input 4 RELCFP

Call for Papers: Religion and AI in Science Fiction and Horror
Book Title: A (Holy?) Ghost in the Machine: Religion and Artificial Intelligence in Science-Fiction and Horror Editor: Gregory Stevenson, York University The genres of Science-Fiction and Horror ha…

Cognitive scientist Margaret Boden, whose books helped shape the philosophical conversation about human intelligence and AI, passed away on July 18 at age 88 (Michael S. Rosenwald/New York Times)
https://www.nytimes.com/2025/08/14/science…

Margaret Boden, Philosopher of Artificial Intelligence, Dies at 88
A cognitive scientist, she used the language of computers to explore the nature of human thought and creativity, offering prescient insights about A.I.

Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning
Shaba Shaon, Md Raihan Uddin, Dinh C. Nguyen, Seyyedali Hosseinalipour, Dusit Niyato, Octavia A. Dobre
https://arxiv.org/abs/2509.10559

Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning
AI-native 6G networks are envisioned to tightly embed artificial intelligence (AI) into the wireless ecosystem, enabling real-time, personalized, and privacy-preserving intelligence at the edge. A foundational pillar of this vision is federated learning (FL), which allows distributed model training across devices without sharing raw data. However, implementing classical FL methods faces several bottlenecks in heterogeneous dynamic wireless networks, including limited device compute capacity, un…

AI Asset Management for Manufacturing (AIM4M): Development of a Process Model for Operationalization
Lukas Rauh, Mel-Rick S\"uner, Daniel Schel, Thomas Bauernhansl
https://arxiv.org/abs/2509.11691

AI Asset Management for Manufacturing (AIM4M): Development of a Process Model for Operationalization
The benefits of adopting artificial intelligence (AI) in manufacturing are undeniable. However, operationalizing AI beyond the prototype, especially when involved with cyber-physical production systems (CPPS), remains a significant challenge due to the technical system complexity, a lack of implementation standards and fragmented organizational processes. To this end, this paper proposes a new process model for the lifecycle management of AI assets designed to address challenges in manufacturin…

Converting IEC 61131-3 LD into SFC Using Large Language Model: Dataset and Testing
Yimin Zhang, Mario de Sousa
https://arxiv.org/abs/2509.12593 https://arx…

Converting IEC 61131-3 LD into SFC Using Large Language Model: Dataset and Testing
In the domain of Programmable Logic Controller (PLC) programming, converting a Ladder Diagram (LD) into a Sequential Function Chart (SFC) is an inherently challenging problem, primarily due to the lack of domain-specific knowledge and the issue of state explosion in existing algorithms. However, the rapid development of Artificial Intelligence (AI) - especially Large Language Model (LLM) - offers a promising new approach. Despite this potential, data-driven approaches in this field have been …

[OT] Revealed: Apple is teaching its AI to adapt to the Trump era https://www.politico.eu/article/apple-teaching-artificial-intelligence-adapt-to-trump-era/ "updated guidelines on how the AI talks about diversity, equity and inclusion poli…

Apple is teaching its artificial intelligence to adapt to the Trump era
Apple policy documents enacted by a subcontractor show how the company shifted its approach to fine-tuning its AI in March, two months after the U.S. president was inaugurated.

Time for another round of critical AI weekend reading:
Crashing hard: why talking about bubbles obscures the real social cost of overinvesting into “Artificial Intelligence”
Aline Blankertz (@…)

Crashing hard: why talking about bubbles obscures the real social cost of overinvesting into “Artificial Intelligence”
More and more commentators talk about and warn of an “AI bubble”, and everybody seems to congratulate each other on being such a smart financial analyst. BUT: A bubble pops and you are left with air and maybe a splash of soap somewhere on the floor. A fairly clean affair. This kind of investor speak

Designing Shadow Tomography Protocols by Natural Language Processing
Yadong Wu, Pengfei Zhang, Ce Wang, Juan Yao, Yi-Zhuang You
https://arxiv.org/abs/2509.12782 https://

Designing Shadow Tomography Protocols by Natural Language Processing
Quantum circuits form a foundational framework in quantum science, enabling the description, analysis, and implementation of quantum computations. However, designing efficient circuits, typically constructed from single- and two-qubit gates, remains a major challenge for specific computational tasks. In this work, we introduce a novel artificial intelligence-driven protocol for quantum circuit design, benchmarked using shadow tomography for efficient quantum state readout. Inspired by technique…

AI-Driven Adaptive Air Transit Network with Modular Aerial Pods
Amir Shafiee, Alireza Yazdiani, Hanieh Rastegar, Rui Li, Rayan Karim, Aolei Cao, Ziyang Li, Xieqing Yu, Charlle Sy, Zhaoyao Bao, Xi Cheng, H. Oliver Gao
https://arxiv.org/abs/2509.12644

AI-Driven Adaptive Air Transit Network with Modular Aerial Pods
This paper presents an adaptive air transit network leveraging modular aerial pods and artificial intelligence (AI) to address urban mobility challenges. Passenger demand, forecasted from AI models, serves as input parameters for a Mixed-Integer Nonlinear Programming (MINLP) optimization model that dynamically adjusts pod dispatch schedules and train lengths in response to demand variations. The results reveal a complex interplay of factors, including demand levels, headway bounds, train config…

A Scenario-Driven Cognitive Approach to Next-Generation AI Memory
Linyue Cai, Yuyang Cheng, Xiaoding Shao, Huiming Wang, Yong Zhao, Wei Zhang, Kang Li
https://arxiv.org/abs/2509.13235

A Scenario-Driven Cognitive Approach to Next-Generation AI Memory
As artificial intelligence advances toward artificial general intelligence (AGI), the need for robust and human-like memory systems has become increasingly evident. Current memory architectures often suffer from limited adaptability, insufficient multimodal integration, and an inability to support continuous learning. To address these limitations, we propose a scenario-driven methodology that extracts essential functional requirements from representative cognitive scenarios, leading to a unifie…

The Gates Foundation, Ballmer Group, and others form NextLadder to spend $1B over 15 years to develop AI tools for public defenders, parole officers, and more (Thalia Beaty/Associated Press)
https://apnews.com/article/artificial-

Artificial Intelligence for Optimal Learning: A Comparative Approach towards AI-Enhanced Learning Environments
Ananth Hariharan
https://arxiv.org/abs/2510.11755 https://

Artificial Intelligence for Optimal Learning: A Comparative Approach towards AI-Enhanced Learning Environments
In the rapidly evolving educational landscape, the integration of technology has shifted from an enhancement to a cornerstone of educational strategy worldwide. This transition is propelled by advancements in digital technology, especially the emergence of artificial intelligence as a crucial tool in learning environments. This research project critically evaluates the impact of three distinct educational settings: traditional educational methods without technological integration, those enhance…

#GoldmanSachs sees AI as the #NextBigThing and isn’t blinking as it dumps investments into the #ArtificialIntelligence abyss... Analysts expect AI adoption to lift U.S.

Cognitive Cybersecurity for Artificial Intelligence: Guardrail Engineering with CCS-7
Yuksel Aydin
https://arxiv.org/abs/2508.10033 https://arxiv.org/pdf/2…

Cognitive Cybersecurity for Artificial Intelligence: Guardrail Engineering with CCS-7
Language models exhibit human-like cognitive vulnerabilities, such as emotional framing, that escape traditional behavioral alignment. We present CCS-7 (Cognitive Cybersecurity Suite), a taxonomy of seven vulnerabilities grounded in human cognitive security research. To establish a human benchmark, we ran a randomized controlled trial with 151 participants: a "Think First, Verify Always" (TFVA) lesson improved cognitive security by +7.9% overall. We then evaluated TFVA-style guardrails across 1…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/7]:
- Beyond Artificial Misalignment: Detecting and Grounding Semantic-Coordinated Multimodal Manipulat...
Jinjie Shen, Yaxiong Wang, Lechao Cheng, Nan Pu, Zhun Zhong

RailSafeNet: Visual Scene Understanding for Tram Safety
Ing. Ondrej Valach, Ing. Ivan Gruber
https://arxiv.org/abs/2509.12125 https://arxiv.org/pdf/2509.12…

RailSafeNet: Visual Scene Understanding for Tram Safety
Tram-human interaction safety is an important challenge, given that trams frequently operate in densely populated areas, where collisions can range from minor injuries to fatal outcomes. This paper addresses the issue from the perspective of designing a solution leveraging digital image processing, deep learning, and artificial intelligence to improve the safety of pedestrians, drivers, cyclists, pets, and tram passengers. We present RailSafeNet, a real-time framework that fuses semantic segmen…

80% of ransomware attacks now use artificial intelligence
https://mitsloan.mit.edu/ideas-made-to-matter/80-ransomware-attacks-now-use-artificial-intelligence

80% of ransomware attacks now use artificial intelligence | MIT Sloan

Exploring Artificial Intelligence and Culture: Methodology for a comparative study of AI's impact on norms, trust, and problem-solving across academic and business environments
Matthias Huemmer, Theophile Shyiramunda, Michelle J. Cummings-Koether
https://arxiv.org/abs/2510.11530

Exploring Artificial Intelligence and Culture: Methodology for a comparative study of AI's impact on norms, trust, and problem-solving across academic and business environments
This paper proposes a rigorous framework to examine the two-way relationship between artificial intelligence (AI), human cognition, problem-solving, and cultural adaptation across academic and business settings. It addresses a key gap by asking how AI reshapes cognitive processes and organizational norms, and how cultural values and institutional contexts shape AI adoption, trust, and use over time. We employ a three-wave longitudinal design that tracks AI knowledge, perceived competence, trust…

YouTube says it has paid out $100B to creators over the last four years and the number of YouTube channels making over $100K from TV screens has jumped 45% YoY (Zach Vallese/CNBC)
https://www.cnbc.com/2025/09/16/youtube-creators-pay.html

YouTube says it has paid creators more than $100 billion over last 4 years
The company also announced new artificial intelligence tools for YouTube Shorts, its short-form vertical video product.

Artificial Intelligence Virtual Cells: From Measurements to Decisions across Modality, Scale, Dynamics, and Evaluation
Chengpeng Hu, Calvin Yu-Chian Chen
https://arxiv.org/abs/2510.12498

Artificial Intelligence Virtual Cells: From Measurements to Decisions across Modality, Scale, Dynamics, and Evaluation
Artificial Intelligence Virtual Cells (AIVCs) aim to learn executable, decision-relevant models of cell state from multimodal, multiscale measurements. Recent studies have introduced single-cell and spatial foundation models, improved cross-modality alignment, scaled perturbation atlases, and explored pathway-level readouts. Nevertheless, although held-out validation is standard practice, evaluations remain predominantly within single datasets and settings; evidence indicates that transport acr…

How AI-powered tools like PainChek, an app that scans a person's face for tiny muscle movements, are helping healthcare providers better assess patients' pain (Deena Mousa/MIT Technology Review)

AI is changing how we quantify pain
Artificial intelligence is helping health-care providers better assess their patients’ discomfort.

Generative AI in Game Development: A Qualitative Research Synthesis
Alexandru Ternar, Alena Denisova, Jo\~ao M. Cunha, Annakaisa Kultima, Christian Guckelsberger
https://arxiv.org/abs/2509.11898

Generative AI in Game Development: A Qualitative Research Synthesis
Generative Artificial Intelligence (GenAI) has had a tremendous impact on game production and promises lasting transformations. In the last five years since GenAI's inception, several studies, typically via qualitative methods, have explored its impact on game production from different settings and demographic angles. However, these studies often contextualise and consolidate their findings weakly with related work, and a big picture view is still missing. Here, we aim to provide such a view of…

Funding AI for Good: A Call for Meaningful Engagement
Hongjin Lin, Anna Kawakami, Catherine D'Ignazio, Kenneth Holstein, Krzysztof Gajos
https://arxiv.org/abs/2509.12455 htt…

Funding AI for Good: A Call for Meaningful Engagement
Artificial Intelligence for Social Good (AI4SG) is a growing area exploring AI's potential to address social issues like public health. Yet prior work has shown limited evidence of its tangible benefits for intended communities, and projects frequently face inadequate community engagement and sustainability challenges. Funding agendas play a crucial role in framing AI4SG initiatives and shaping their approaches. Through a qualitative analysis of 35 funding documents -- representing about $410 m…

Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics
Meryem Malak Dif, Mouhamed Amine Bouchiha, Abdelaziz Amara Korba, Yacine Ghamri-Doudane
https://arxiv.org/abs/2509.12233

Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics
The Internet of Electric Vehicles (IoEV) envisions a tightly coupled ecosystem of electric vehicles (EVs), charging infrastructure, and grid services, yet it remains vulnerable to cyberattacks, unreliable battery-state predictions, and opaque decision processes that erode trust and performance. To address these challenges, we introduce a novel Agentic Artificial Intelligence (AAI) framework tailored for IoEV, where specialized agents collaborate to deliver autonomous threat mitigation, robust a…

Sources: Nvidia's China-only RTX 6000D receives lukewarm demand, with some seeing it as expensive given its performance lags the RTX 5090 (Reuters)
https://www.thestandard.com.hk/tech-and-st

Nvidia's new RTX6000D chip for China finds little favour with major firms, sources say
Nvidia's RTX6000D, its newest artificial intelligence chip tailored for the Chinese market, has seen only lukewarm demand with some major tech firms opting not to place orders, two people with knowledge of procurement discussions said.

Extending the Entropic Potential of Events for Uncertainty Quantification and Decision-Making in Artificial Intelligence
Mark Zilberman
https://arxiv.org/abs/2508.10241 https://…

Extending the Entropic Potential of Events for Uncertainty Quantification and Decision-Making in Artificial Intelligence
This work demonstrates how the concept of the entropic potential of events -- a parameter quantifying the influence of discrete events on the expected future entropy of a system -- can enhance uncertainty quantification, decision-making, and interpretability in artificial intelligence (AI). Building on its original formulation in physics, the framework is adapted for AI by introducing an event-centric measure that captures how actions, observations, or other discrete occurrences impact uncertai…

The UK has ramped up the use of facial recognition, AI, and internet regulation to address crime and other issues, stoking concerns of surveillance overreach (New York Times)
https://www.nytimes.com/2025/09/17/t…

Has Britain Gone Too Far With Its Digital Controls?
British authorities have ramped up the use of facial recognition, artificial intelligence and internet regulation to address crime and other issues, stoking concerns of surveillance overreach.

Data selves and identity theft in the age of AI
Tim Gorichanaz
https://arxiv.org/abs/2509.12383 https://arxiv.org/pdf/2509.12383

Data selves and identity theft in the age of AI
This chapter examines identity theft in the digital age, particularly in the context of emerging artificial intelligence (AI) technologies. It begins with a discussion of big data and selfhood, the concepts of data selves and data doubles, and the process of identification in the digital age. Next, the literature on online identity theft is reviewed, including its theoretical and empirical aspects. As is evident from that review, AI technologies have increased the speed and scale of identity cr…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[11/11]:
- Deceptive Risk Minimization: Out-of-Distribution Generalization by Deceiving Distribution Shift D...
Anirudha Majumdar

Alibaba, Tencent, and Baidu have raised $5B via bonds this month for AI and digital infra; with JD.com, their combined 2025 AI capex is projected to top $32B (Bloomberg)
https://www.bloomberg.com/news/articles/2025-09-17…

China’s AI Funding Spree: Why Alibaba, Baidu Are Tapping Bond Markets
Companies in China’s technology sector have been raising billions in capital to advance their artificial intelligence capabilities and other digital infrastructure.

Qualitative Research in an Era of AI: A Pragmatic Approach to Data Analysis, Workflow, and Computation
Corey M. Abramson, Zhuofan Li, Tara Prendergast, Daniel Dohan
https://arxiv.org/abs/2509.12503

Qualitative Research in an Era of AI: A Pragmatic Approach to Data Analysis, Workflow, and Computation
Rapid computational developments - particularly the proliferation of artificial intelligence (AI) - increasingly shape social scientific research while raising new questions about in-depth qualitative methods such as ethnography and interviewing. Building on classic debates about using computers to analyze qualitative data, we revisit longstanding concerns and assess possibilities and dangers in an era of automation, AI chatbots, and 'big data.' We first historicize developments by revisiting c…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[10/11]:
- Tenma: Robust Cross-Embodiment Robot Manipulation with Diffusion Transformer
Travis Davies, Yiqi Huang, Yunxin Liu, Xiang Chen, Huxian Liu, Luhui Hu

Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives
Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John Stamper
https://arxiv.org/abs/2509.10782

Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives
Generative artificial intelligence (GenAI) is rapidly entering K-12 classrooms worldwide, initiating urgent debates about its potential to either reduce or exacerbate educational inequalities. Drawing on interviews with 30 K-12 teachers across the United States, South Africa, and Taiwan, this study examines how teachers navigate this GenAI tension around educational equalities. We found teachers actively framed GenAI education as an equality-oriented practice: they used it to alleviate pre-exis…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[9/11]:
- Inducing Uncertainty for Test-Time Privacy
Muhammad H. Ashiq, Peter Triantafillou, Hung Yun Tseng, Grigoris G. Chrysos

Aesthetic Experience and Educational Value in Co-creating Art with Generative AI: Evidence from a Survey of Young Learners
Chengyuan Zhang, Suzhe Xu
https://arxiv.org/abs/2509.10576

Aesthetic Experience and Educational Value in Co-creating Art with Generative AI: Evidence from a Survey of Young Learners
This study investigates the aesthetic experience and educational value of collaborative artmaking with generative artificial intelligence (AI) among young learners and art students. Based on a survey of 112 participants, we examine how human creators renegotiate their roles, how conventional notions of originality are challenged, how the creative process is transformed, and how aesthetic judgment is formed in human--AI co-creation. Empirically, participants generally view AI as a partner that s…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/11]:
- Framing AI System Benchmarking as a Learning Task: FlexBench and the Open MLPerf Dataset
Grigori Fursin, Daniel Altunay

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/11]:
- Quantum Architecture Search for Solving Quantum Machine Learning Tasks
Michael K\"olle, Simon Salfer, Tobias Rohe, Philipp Altmann, Claudia Linnhoff-Popien

Understanding Computer Science Students' Career Fair Experiences: Goals, Preparation, and Outcomes
Briana Lee, Samantha Limon, Alyssia Chen, Kenny Ka'aiakamanu-Quibilan, Anthony Peruma
https://arxiv.org/abs/2509.10717

Understanding Computer Science Students' Career Fair Experiences: Goals, Preparation, and Outcomes
The technology industry offers exciting and diverse career opportunities, ranging from traditional software development to emerging fields such as artificial intelligence, cybersecurity, and data science. Career fairs play a crucial role in helping Computer Science (CS) students understand the various career pathways available to them in the industry. However, limited research exists on how CS students experience and benefit from these events. Through a survey of 86 students, we investigate the…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/11]:
- Membership Inference Attacks on Recommender System: A Survey
Jiajie He, Yuechun Gu, Keke Chen, Xintong Chen

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/11]:
- Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized D...
Sangyeop Kim, Yohan Lee, Sanghwa Kim, Hyunjong Kim, Sungzoon Cho

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/11]:
- LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems
Moia, Sanz, Rebello, de Meneses, Hitaj, Lindqvist

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/11]:
- AVEC: Bootstrapping Privacy for Local LLMs
Madhava Gaikwad
https://

Salesforce says it expects FY 2030 revenue of $60B , vs. $58.37B est., excluding impact from the $8B pending acquisition of data management company Informatica (Jordan Novet/CNBC)
https://www.cnbc.com/2025/10/15/salesforce-stock-jumps-a…

Salesforce stock jumps after company offers rosy forecast for 2030
Salesforce is counting on Agentforce artificial intelligence software to pull in more revenue from customers.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/11]:
- FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medica...
Prajit Sengupta, Islem Rekik

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/11]:
- Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural Networks
Friedrich Wolf-Monheim

Researchers say they used generative AI algorithms to design novel antibiotics targeting drug-resistant Neisseria gonorrhoeae and MRSA (Anne Trafton/MIT News)
https://news.mit.edu/2025/using-generative-ai-researchers-design-compoun…

Using generative AI, researchers design compounds that can kill drug-resistant bacteria
With help from artificial intelligence, MIT researchers designed novel antibiotics that can combat a drug-resistant form of Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA).

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/8]:
- Similarity-based Outlier Detection for Noisy Object Re-Identification Using Beta Mixtures
Waqar Ahmad, Evan Murphy, Vladimir A. Krylov

Sources: Meta plans its fourth AI restructuring in six months, dividing Superintelligence Labs into TBD Lab, a product team, an infrastructure team, and FAIR (Kalley Huang/The Information)
https://www.theinformation.com/articles/meta-plans-fourth…

Meta Plans Fourth Restructuring of AI Efforts in Six Months
Meta Platforms is planning the fourth restructuring of its artificial intelligence efforts in six months, according to three people familiar with the matter. Meta’s new AI organization, Meta Superintelligence Labs, is expected to be divided into four groups: a new lab that has been going by TBD ...

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/8]:
- MTalk-Bench: Evaluating Speech-to-Speech Models in Multi-Turn Dialogues via Arena-style and Rubri...
Du, Huang, Zhu, Dai, Chen, Zhu, Pan, Chen, Zhang, Zhou, Wang, Li

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/8]:
- Occlusion-Aware Temporally Consistent Amodal Completion for 3D Human-Object Interaction Reconstru...
Hyungjun Doh, Dong In Lee, Seunggeun Chi, Pin-Hao Huang, Kwonjoon Lee, Sangpil Kim, Karthik Ramani

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/8]:
- Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation
Hongxiang Zhang, Hao Chen, Muhao Chen, Tianyi Zhang

Doctronic, which uses generative AI for health guidance and offers video visits with licensed doctors, raised a $20M Series A led by Lightspeed Venture Partners (PYMNTS.com)
https://www.pymnts.com/healthcare/2025/doctronic-raise…

Doctronic Raises $20 Million for AI-Powered Health Guidance Platform
Doctronic raised $20 million in a Series A funding round to expand its services and grow the adoption of its artificial intelligence-native platform

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/8]:
- DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks
Yupei Liu, Yuqi Jia, Jinyuan Jia, Dawn Song, Neil Zhenqiang Gong

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/8]:
- Leveraging Large Language Models to Democratize Access to Costly Datasets for Academic Research
Julian Junyan Wang, Victor Xiaoqi Wang

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/8]:
- Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting
Shashidhar Reddy Javaji, Bhavul Gauri, Zining Zhu

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/8]:
- A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative AI techn...
Rongqian Ma, Meredith Dedema, Andrew Cox

CB Insights: the number of AI unicorns reached 498 with a combined value of $2.7T, 100 founded since 2023, and over 1,300 AI startups valued above $100M (Robert Frank/CNBC)
https://www.cnbc.com/2025/08/10/ai-artificial-intelligence-billionaires-wealth.html…

AI is creating new billionaires at a record pace
With time, and IPOs, many of today's private AI fortunes will eventually become more liquid, providing a historic opportunity for wealth management firms

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- ICR: Iterative Clarification and Rewriting for Conversational Search
Zhiyu Cao, Peifeng Li, Qiaoming Zhu

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/5]:
- Evaluating the Robustness of Open-Source Vision-Language Models to Domain Shift in Object Captioning
Federico Tavella, Amber Drinkwater, Angelo Cangelosi

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/5]:
- TokenSkip: Controllable Chain-of-Thought Compression in LLMs
Heming Xia, Chak Tou Leong, Wenjie Wang, Yongqi Li, Wenjie Li

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/5]:
- EMOE: A Framework for Out-of-distribution Uncertainty Based Rejection via Model-Agnostic Expansiv...
Yunni Qu, James Wellnitz, Dzung Dinh, Bhargav Vaduri, Alexander Tropsha, Junier Oliva

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/5]:
- Concurrent Linguistic Error Detection (CLED): a New Methodology for Error Detection in Large Lang...
Jinhua Zhu, Javier Conde, Zhen Gao, Pedro Reviriego, Shanshan Liu, Fabrizio Lombardi

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/7]:
- ResidualViT for Efficient Temporally Dense Video Encoding
Mattia Soldan, Fabian Caba Heilbron, Bernard Ghanem, Josef Sivic, Bryan Russell

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/7]:
- Validating Solidity Code Defects using Symbolic and Concrete Execution powered by Large Language ...
\c{S}tefan-Claudiu Susan, Andrei Arusoaie, Dorel Lucanu

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/7]:
- A Pressure-Based Diffusion Model for Influence Maximization on Social Networks
Curt Stutsman, Eliot W. Robson, Abhishek K. Umrawal

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/7]:
- Understanding Prompt Management in GitHub Repositories: A Call for Best Practices
Hao Li, Hicham Masri, Filipe R. Cogo, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/7]:
- A Variational Physics-Informed Neural Network Framework Using Petrov-Galerkin Method for Solving ...
Vijay Kumar, Gautam Singh

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/7]:
- Scalable RF Simulation in Generative 4D Worlds
Zhiwei Zheng, Dongyin Hu, Mingmin Zhao

Towards Robust Artificial Intelligence: Self-Supervised Learning Approach for Out-of-Distribution Detection
Wissam Salhab, Darine Ameyed, Hamid Mcheick, Fehmi Jaafar
https://arxiv.org/abs/2510.12713

Towards Robust Artificial Intelligence: Self-Supervised Learning Approach for Out-of-Distribution Detection
Robustness in AI systems refers to their ability to maintain reliable and accurate performance under various conditions, including out-of-distribution (OOD) samples, adversarial attacks, and environmental changes. This is crucial in safety-critical systems, such as autonomous vehicles, transportation, or healthcare, where malfunctions could have severe consequences. This paper proposes an approach to improve OOD detection without the need of labeled data, thereby increasing the AI systems' robu…

[2025-09-16 Tue (UTC), 50 new articles found for cs.AI Artificial Intelligence]
toXiv_bot_toot

How to Evaluate Medical AI
Ilia Kopanichuk, Petr Anokhin, Vladimir Shaposhnikov, Vladimir Makharev, Ekaterina Tsapieva, Iaroslav Bespalov, Dmitry V. Dylov, Ivan Oseledets
https://arxiv.org/abs/2509.11941

How to Evaluate Medical AI
The integration of artificial intelligence (AI) into medical diagnostic workflows requires robust and consistent evaluation methods to ensure reliability, clinical relevance, and the inherent variability in expert judgments. Traditional metrics like precision and recall often fail to account for the inherent variability in expert judgments, leading to inconsistent assessments of AI performance. Inter-rater agreement statistics like Cohen's Kappa are more reliable but they lack interpretability.…

Is the `Agent' Paradigm a Limiting Framework for Next-Generation Intelligent Systems?
Jesse Gardner, Vladimir A. Baulin
https://arxiv.org/abs/2509.10875 https://

Is the `Agent' Paradigm a Limiting Framework for Next-Generation Intelligent Systems?
The concept of the 'agent' has profoundly shaped Artificial Intelligence (AI) research, guiding development from foundational theories to contemporary applications like Large Language Model (LLM)-based systems. This paper critically re-evaluates the necessity and optimality of this agent-centric paradigm. We argue that its persistent conceptual ambiguities and inherent anthropocentric biases may represent a limiting framework. We distinguish between agentic systems (AI inspired by agency, often…

The PacifAIst Benchmark:Would an Artificial Intelligence Choose to Sacrifice Itself for Human Safety?
Manuel Herrador
https://arxiv.org/abs/2508.09762 https://

The PacifAIst Benchmark:Would an Artificial Intelligence Choose to Sacrifice Itself for Human Safety?
As Large Language Models (LLMs) become increasingly autonomous and integrated into critical societal functions, the focus of AI safety must evolve from mitigating harmful content to evaluating underlying behavioral alignment. Current safety benchmarks do not systematically probe a model's decision-making in scenarios where its own instrumental goals - such as self-preservation, resource acquisition, or goal completion - conflict with human safety. This represents a critical gap in our ability t…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/6]:
- ICL-Router: In-Context Learned Model Representations for LLM Routing
Wang, Li, Zhang, Chen, Chen, Jian, Ye, Zhang, Hu

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/6]:
- StegOT: Trade-offs in Steganography via Optimal Transport
Chengde Lin, Xuezhu Gong, Shuxue Ding, Mingzhe Yang, Xijun Lu, Chengjun Mo

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/6]:
- VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Int...
Sam Yu-Te Lee, Chenyang Ji, Shicheng Wen, Lifu Huang, Dongyu Liu, Kwan-Liu Ma

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- Query Brand Entity Linking in E-Commerce Search
Dong Liu, Sreyashi Nag
https://

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/6]:
- TripScore: Benchmarking and rewarding real-world travel planning with fine-grained evaluation
Yincen Qu, Huan Xiao, Feng Li, Gregory Li, Hui Zhou, Xiangying Dai

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/6]:
- Causal Agent based on Large Language Model
Kairong Han, Kun Kuang, Ziyu Zhao, Junjian Ye, Fei Wu

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/6]:
- Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis
Shelley Zixin Shu, Haozhe Luo, Alexander Poellinger, Mauricio Reyes

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/6]:
- Unconditional Human Motion and Shape Generation via Balanced Score-Based Diffusion
David Bj\"orkstrand, Tiesheng Wang, Lars Bretzner, Josephine Sullivan