Tootfinder

»The Era of AI-Generated Ransomware Has Arrived:
Cybercriminals are increasingly using generative AI tools to fuel their attacks, with new research finding instances of AI being used to develop ransomware.«
This is not surprising, but how do we explain this to the people in charge?
🫤 https://www.

The Era of AI-Generated Ransomware Has Arrived
Cybercriminals are increasingly using generative AI tools to fuel their attacks, with new research finding instances of AI being used to develop ransomware.

Worth a read from historian Ed Dunsworth.
"On Generative AI in the Classroom: Give Up, Give In, or Stand Up" (June 2025)
https://activehistory.ca/blog/2025/06/11/on-generative-ai-in-the-classroom-give-up-give-in-or-stand…

On Generative AI in the Classroom: Give Up, Give In, or Stand Up
Edward Dunsworth Two approaches dominate discussion about how professors should handle generative “artificial intelligence” in the classroom: give up or give in. Give up. Faced with a powerful new …

People are increasingly using generative AI to create digital vision boards, such as videos depicting their ideal futures, to help them achieve their goals (Alyson Krueger/New York Times)
https://www.nytimes.com/2025/07/26/style/a…

Believers in Manifestation Are Using A.I. to Visualize Their Dream Lives
For some believers in manifestation, vision boards have become a little like movie trailers, as brought to you by A.I.

Hallucinating with AI: AI Psychosis as Distributed Delusions
Lucy Osler
https://arxiv.org/abs/2508.19588 https://arxiv.org/pdf/2508.19588

Hallucinating with AI: AI Psychosis as Distributed Delusions
There is much discussion of the false outputs that generative AI systems such as ChatGPT, Claude, Gemini, DeepSeek, and Grok create. In popular terminology, these have been dubbed AI hallucinations. However, deeming these AI outputs hallucinations is controversial, with many claiming this is a metaphorical misnomer. Nevertheless, in this paper, I argue that when viewed through the lens of distributed cognition theory, we can better see the dynamic and troubling ways in which inaccurate beliefs,…

Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers
Claudio Affolter, Sidi Wu, Yizi Chen, Lorenz Hurni
https://arxiv.org/abs/2508.18959 h…

Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers
Traditional map-making relies heavily on Geographic Information Systems (GIS), requiring domain expertise and being time-consuming, especially for repetitive tasks. Recent advances in generative AI (GenAI), particularly image diffusion models, offer new opportunities for automating and democratizing the map-making process. However, these models struggle with accurate map creation due to limited control over spatial composition and semantic layout. To address this, we integrate vector data to gu…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/7]:
- Automatic Question & Answer Generation Using Generative Large Language Model (LLM)
Md. Alvee Ehsan, A. S. M Mehedi Hasan, Kefaya Benta Shahnoor, Syeda Sumaiya Tasneem

Generative AI for Testing of Autonomous Driving Systems: A Survey
Qunying Song, He Ye, Mark Harman, Federica Sarro
https://arxiv.org/abs/2508.19882 https://

Generative AI for Testing of Autonomous Driving Systems: A Survey
Autonomous driving systems (ADS) have been an active area of research, with the potential to deliver significant benefits to society. However, before large-scale deployment on public roads, extensive testing is necessary to validate their functionality and safety under diverse driving conditions. Therefore, different testing approaches are required, and achieving effective and efficient testing of ADS remains an open challenge. Recently, generative AI has emerged as a powerful tool across many …

Orchid: Orchestrating Context Across Creative Workflows with Generative AI
Srishti Palani, Gonzalo Ramos
https://arxiv.org/abs/2508.19517 https://arxiv.org…

Orchid: Orchestrating Context Across Creative Workflows with Generative AI
Context is critical for meaningful interactions between people and Generative AI (GenAI). Yet mainstream tools offer limited means to orchestrate it, particularly across workflows that span multiple interactions, sessions, and models, as often occurs in creative projects. Re specifying prior details, juggling diverse artifacts, and dealing with context drift overwhelm users, obscure intent, and curtail creativity. To address these challenges, we present Orchid, a system that gives its users aff…

"You can tell what happened — Google promised iNaturalist free money if they would just do something, anything, that had some generative AI in it. iNaturalist forgot why people contribute at all, and took the cash."
(Original title: Google bribes iNaturalist to use generative AI — volunteers quit in outrage)

Google bribes iNaturalist to use generative AI — volunteers quit in outrage
iNaturalist is a website that crowdsources pictures of plants and animals to help identify species. Its tagline is “A Community for Naturalists.” iNaturalist is administered by its own small charit…

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
Muhammad Ahmed Mohsin, Junaid Ahmad, Muhammad Hamza Nawaz, Muhammad Ali Jamshed
https://arxiv.org/abs/2508.19495

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
Ambient intelligence (AmI) is a computing paradigm in which physical environments are embedded with sensing, computation, and communication so they can perceive people and context, decide appropriate actions, and respond autonomously. Realizing AmI at global scale requires sixth generation (6G) wireless networks with capabilities for real time perception, reasoning, and action aligned with human behavior and mobility patterns. We argue that Generative Artificial Intelligence (GenAI) is the crea…

'I Love Generative AI and Hate the Companies Building It' - 'when I fell in love with generative AI, I wanted to use it ethically.
That went well.
Turns out, there are no ethical AI companies. What I found instead was a hierarchy of harm where the question isn’t who’s good — it’s who sucks least.'

I Love Generative AI and Hate the Companies Building It
I’m just a regular person who buys fair trade coffee, uses a reusable water bottle, and takes Caltrain instead of driving to the city. Not an eco warrior or a professional ethicist, just someone…

That fact that I love using the emdash in my texts has nothing to do with me being a generative AI, but everything with being a recovering journalist.

A review of the legal challenges associated with generative AI training disputes emphasises the need for clarity from the UK government, legislature and courts.
https://www.computing.co.uk/feature/2025/scraping-surface-generative-ai-training-disputes…

Scraping the surface of generative AI training disputes and their legal challenges
A review of the legal challenges associated with generative AI training disputes emphasises the need for clarity from the UK government, legislature and courts.

This is the last straw! Working with Israel to commit genocide we can forgive but asking us to pay more for their services… now that’s unconscionable. https://mastodon.online/@parismarx/114914379016704186

It’s so funny (read: sad and disappointing) to watch the Apple developer community eat themselves over generative AI obsession.

A US judge rules that Meta's use of books to train AI is protected by fair use but says his opinion is more a reflection of the plaintiffs' poor arguments (Isaiah Poritz/Bloomberg Law)
https://news.bloomberglaw.com/legal-op

Meta Beats Authors’ Copyright Suit Over AI Training on Books (2)
Meta Platforms Inc. escaped a first-of-its-kind copyright lawsuit from a group of authors who alleged the tech giant hoovered up millions of copyrighted books without permission to train its generative AI model called Llama.

The Quasi-Creature and the Uncanny Valley of Agency: A Synthesis of Theory and Evidence on User Interaction with Inconsistent Generative AI
Mauricio Manhaes, Christine Miller, Nicholas Schroeder
https://arxiv.org/abs/2508.18563

The Quasi-Creature and the Uncanny Valley of Agency: A Synthesis of Theory and Evidence on User Interaction with Inconsistent Generative AI
The user experience with large-scale generative AI is paradoxical: superhuman fluency meets absurd failures in common sense and consistency. This paper argues that the resulting potent frustration is an ontological problem, stemming from the "Quasi-Creature"-an entity simulating intelligence without embodiment or genuine understanding. Interaction with this entity precipitates the "Uncanny Valley of Agency," a framework where user comfort drops when highly agentic AI proves erratically unreliab…

Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions
Shuo Yang, Xinran Zheng, Jinfeng Xu, Jinze Li, Danyang Song, Zheyu Chen, Edith C. H. Ngai
https://arxiv.org/abs/2506.20488

Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions
The rapid advancement of 6G wireless networks, IoT, and edge computing has significantly expanded the cyberattack surface, necessitating more intelligent and adaptive vulnerability detection mechanisms. Traditional security methods, while foundational, struggle with zero-day exploits, adversarial threats, and context-dependent vulnerabilities in highly dynamic network environments. Generative AI (GAI) emerges as a transformative solution, leveraging synthetic data generation, multimodal reasoni…

Judicial Requirements for Generative AI in Legal Reasoning
Eljas Linna, Tuula Linna
https://arxiv.org/abs/2508.18880 https://arxiv.org/pdf/2508.18880

Judicial Requirements for Generative AI in Legal Reasoning
Large Language Models (LLMs) are being integrated into professional domains, yet their limitations in high-stakes fields like law remain poorly understood. This paper defines the core capabilities that an AI system must possess to function as a reliable reasoning tool in judicial decision-making. Using the IRAC (Issue-Rule-Application-Conclusion) model as an analytical framework, the study focuses on the most challenging phases of legal adjudication: determining the applicable Rule (R) and perf…

https://fal.ai: Leading developer platform for generative media integration
🛡️ Safety Features
All images include invisible SynthID digital watermarks for AI-generated content identification.
🔧 Developer Tools
Updated Google AI Studio "build mode" with templates for:
Image editing apps

Generative AI for Multimedia Communication: Recent Advances, An Information-Theoretic Framework, and Future Opportunities
Yili Jin, Xue Liu, Jiangchuan Liu
https://arxiv.org/abs/2508.17163

Generative AI for Multimedia Communication: Recent Advances, An Information-Theoretic Framework, and Future Opportunities
Recent breakthroughs in generative artificial intelligence (AI) are transforming multimedia communication. This paper systematically reviews key recent advancements across generative AI for multimedia communication, emphasizing transformative models like diffusion and transformers. However, conventional information-theoretic frameworks fail to address semantic fidelity, critical to human perception. We propose an innovative semantic information-theoretic framework, introducing semantic entropy,…

WeDesign: Generative AI-Facilitated Community Consultations for Urban Public Space Design
Rashid Mushkani, Hugo Berard, Shin Koseki
https://arxiv.org/abs/2508.19256 https://

WeDesign: Generative AI-Facilitated Community Consultations for Urban Public Space Design
Community consultations are integral to urban planning processes intended to incorporate diverse stakeholder perspectives. However, limited resources, visual and spoken language barriers, and uneven power dynamics frequently constrain inclusive decision-making. This paper examines how generative text-to-image methods, specifically Stable Diffusion XL integrated into a custom platform (WeDesign), may support equitable consultations. A half-day workshop in Montreal involved five focus groups, eac…

Jad Tarifi, who founded Google's first generative AI team,
told Business Insider that he would not encourage people to get a Ph.D. to cash in on the AI hype.
"AI itself is going to be gone by the time you finish a Ph.D.
Even things like applying AI to robotics will be solved by then.
So either get into something niche like AI for biology, which is still in its very early stages,
or just don't get into anything [AI] at all," Tarifi said.

Early member of Google's AI team: It's too late to get a Ph.D. in AI
"AI itself is going to be gone by the time you finish a Ph.D.," Jad Tarifi, the founder of Google's first generative AI team, said.

"So if ChatGPT destroys literacy and law, then ChatGPT is going to kill God. By this I don’t mean that the bearded guy in the sky is going to be found dead of a gunshot wound to the chest, but that monotheistic religion as we have traditionally understood it will not be able to function in a post-literacy regime."
(Original title: ChatGPT is going to kill God)

ChatGPT is going to kill God
I hate generative AI. I hate how it’s destroying writing pedagogy and giving students even more excuses not to read (because they can just read a “summary”). I hate how whiny and …

Agentic AI and Hallucinations
Engin Iyidogan, Ali I. Ozkes
https://arxiv.org/abs/2507.19183 https://arxiv.org/pdf/2507.19183…

Agentic AI and Hallucinations
We model a competitive market where AI agents buy answers from upstream generative models and resell them to users who differ in how much they value accuracy and in how much they fear hallucinations. Agents can privately exert effort for costly verification to lower hallucination risks. Since interactions halt in the event of a hallucination, the threat of losing future rents disciplines effort. A unique reputational equilibrium exists under nontrivial discounting. The equilibrium effort, and t…

Amazon's VP of Generative AI Vasi Philomin left for another company; VP of Amazon Elastic Block Store Rajesh Sheth assumed some of Philomin's responsibilities (Greg Bensinger/Reuters)
https://www.reuters.com/business/retail-co…

A practical application of AI in research.
https://news.mit.edu/2025/using-genera

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).

On the Future of Software Reuse in the Era of AI Native Software Engineering
Antero Taivalsaari, Tommi Mikkonen, Cesare Pautasso
https://arxiv.org/abs/2508.19834 https://…

On the Future of Software Reuse in the Era of AI Native Software Engineering
Software development is currently under a paradigm shift in which artificial intelligence and generative software reuse are taking the center stage in software creation. Earlier opportunistic software reuse practices and organic software development methods are rapidly being replaced by "AI Native" approaches in which developers place their trust on code that has been generated by artificial intelligence. This is leading to a new form of software reuse that is conceptually not all that differen…

Exploring the Impact of Generative Artificial Intelligence on Software Development in the IT Sector: Preliminary Findings on Productivity, Efficiency and Job Security
Anton Ludwig Bonin, Pawel Robert Smolinski, Jacek Winiarski
https://arxiv.org/abs/2508.16811

Exploring the Impact of Generative Artificial Intelligence on Software Development in the IT Sector: Preliminary Findings on Productivity, Efficiency and Job Security
This study investigates the impact of Generative AI on software development within the IT sector through a mixed-method approach, utilizing a survey developed based on expert interviews. The preliminary results of an ongoing survey offer early insights into how Generative AI reshapes personal productivity, organizational efficiency, adoption, business strategy and job insecurity. The findings reveal that 97% of IT workers use Generative AI tools, mainly ChatGPT. Participants report significant …

Tell me again how you’re going replace people with AI?
https://thedailyadda.com/95-of-companies-see-zero-return-on-30-billion-generative-ai-spend-mit-report-finds/

95% of Companies See ‘Zero Return’ on $30 Billion Generative AI Spend, MIT Report Finds
Over the last three years, companies worldwide have invested between 30 and 40 billion dollars into generative artificial intelligence projects. Yet most of these efforts have brought no real business…

Generative Feature Imputing - A Technique for Error-resilient Semantic Communication
Jianhao Huang, Qunsong Zeng, Hongyang Du, Kaibin Huang
https://arxiv.org/abs/2508.17957 http…

Generative Feature Imputing - A Technique for Error-resilient Semantic Communication
Semantic communication (SemCom) has emerged as a promising paradigm for achieving unprecedented communication efficiency in sixth-generation (6G) networks by leveraging artificial intelligence (AI) to extract and transmit the underlying meanings of source data. However, deploying SemCom over digital systems presents new challenges, particularly in ensuring robustness against transmission errors that may distort semantically critical content. To address this issue, this paper proposes a novel fr…

Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects
Zihan Hong, Yushi Wu, Zhiting Zhao, Shanshan Feng, Jianghong Ma, Jiao Liu, Tianjun Wei
https://arxiv.org/abs/2506.16893

Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects
With the recent progress in generative artificial intelligence (Generative AI), particularly in the development of large language models, recommendation systems are evolving to become more versatile. Unlike traditional techniques, generative AI not only learns patterns and representations from complex data but also enables content generation, data synthesis, and personalized experiences. This generative capability plays a crucial role in the field of recommendation systems, helping to address t…

Sense of Self and Time in Borderline Personality. A Comparative Robustness Study with Generative AI
Marcin Moskalewicz, Anna Sterna, Marek Pokropski, Paula Flores
https://arxiv.org/abs/2508.19008

Sense of Self and Time in Borderline Personality. A Comparative Robustness Study with Generative AI
This study examines the capacity of large language models (LLMs) to support phenomenological qualitative analysis of first-person experience in Borderline Personality Disorder (BPD), understood as a disorder of temporality and selfhood. Building on a prior human-led thematic analysis of 24 inpatients' life-story interviews, we compared three LLMs (OpenAI GPT-4o, Google Gemini 2.5 Pro, Anthropic Claude Opus 4) prompted to mimic the interpretative style of the original investigators. The models w…

A Fourier Explanation of AI-music Artifacts
Darius Afchar, Gabriel Meseguer-Brocal, Kamil Akesbi, Romain Hennequin
https://arxiv.org/abs/2506.19108 https:/…

A Fourier Explanation of AI-music Artifacts
The rapid rise of generative AI has transformed music creation, with millions of users engaging in AI-generated music. Despite its popularity, concerns regarding copyright infringement, job displacement, and ethical implications have led to growing scrutiny and legal challenges. In parallel, AI-detection services have emerged, yet these systems remain largely opaque and privately controlled, mirroring the very issues they aim to address. This paper explores the fundamental properties of synthet…

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction
Ravi Shankar Prasad, Dinesh Singh
https://arxiv.org/abs/2508.18031 https://

FCR: Investigating Generative AI models for Forensic Craniofacial Reconstruction
Craniofacial reconstruction in forensics is one of the processes to identify victims of crime and natural disasters. Identifying an individual from their remains plays a crucial role when all other identification methods fail. Traditional methods for this task, such as clay-based craniofacial reconstruction, require expert domain knowledge and are a time-consuming process. At the same time, other probabilistic generative models like the statistical shape model or the Basel face model fail to ca…

A Theory of Information, Variation, and Artificial Intelligence
Bijean Ghafouri
https://arxiv.org/abs/2508.19264 https://arxiv.org/pdf/2508.19264

A Theory of Information, Variation, and Artificial Intelligence
A growing body of empirical work suggests that the widespread adoption of generative AI produces a significant homogenizing effect on information, creativity, and cultural production. I first develop a novel theoretical framework to explain this phenomenon. I argue that a dynamic of AI-derivative epistemology, in which individuals increasingly defer to AI outputs, allows a centralized AI Prism to function, a technical mechanism whose architecture is designed to reduce variance and converge on t…

Daydream, which raised a $50M seed in June 2024 to build a generative AI shopping agent for fashion, launches in beta, with an app expected later this summer (Hilary Milnes/Vogue Business)
https://www.voguebusiness.com/story/techno

Is Daydream’s AI platform the answer to fashion’s discovery problem?
Founder Julie Bornstein raised $50 million last year to create the ultimate AI shopping experience. Today, it launches in beta.

Wondering if I should add a deliberate missspelling to things I write, just as a "not generative AI" signifier. The tricky part is making it obviously intentional, and also not a common missspelling that gen-AI might learn to imitate

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors
Ming Huang, Zehan Li, Yan Hu, Wanjing Wang, Andrew Wen, Scott Lane, Salih Selek, Lokesh Shahani, Rodrigo Machado-Vieira, Jair Soares, Hua Xu, Hongfang Liu
https://arxiv.org/abs/2507.17009

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors
Suicide remains a pressing global health crisis, with over 720,000 deaths annually and millions more affected by suicide ideation (SI) and suicide attempts (SA). Early identification of suicidality-related factors (SrFs), including SI, SA, exposure to suicide (ES), and non-suicidal self-injury (NSSI), is critical for timely intervention. While prior studies have applied AI to detect SrFs in clinical notes, most treat suicidality as a binary classification task, overlooking the complexity of coo…

Interactive AI and Human Behavior: Challenges and Pathways for AI Governance
Yulu Pi, Cagatay Turkay, Daniel Bogiatzis-Gibbons
https://arxiv.org/abs/2508.16608 https://

Interactive AI and Human Behavior: Challenges and Pathways for AI Governance
As Generative AI systems increasingly engage in long-term, personal, and relational interactions, human-AI engagements are becoming significantly complex, making them more challenging to understand and govern. These Interactive AI systems adapt to users over time, build ongoing relationships, and even can take proactive actions on behalf of users. This new paradigm requires us to rethink how such human-AI interactions can be studied effectively to inform governance and policy development. In th…

DecoMind: A Generative AI System for Personalized Interior Design Layouts
Reema Alshehri, Rawan Alotaibi, Leen Almasri, Rawan Altaweel
https://arxiv.org/abs/2508.16696 https://

DecoMind: A Generative AI System for Personalized Interior Design Layouts
This paper introduces a system for generating interior design layouts based on user inputs, such as room type, style, and furniture preferences. CLIP extracts relevant furniture from a dataset, and a layout that contains furniture and a prompt are fed to Stable Diffusion with ControlNet to generate a design that incorporates the selected furniture. The design is then evaluated by classifiers to ensure alignment with the user's inputs, offering an automated solution for realistic interior design.

¿Os imaginšis que se vendiera un coche que no frenara correctamente el 95% de las veces que se pulsara el pedal de frenado?
https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/

LightCom: A Generative AI-Augmented Framework for QoE-Oriented Communications
Chunmei Xu, Siqi Zhang, Yi Ma, Rahim Tafazolli
https://arxiv.org/abs/2507.17352 https://

LightCom: A Generative AI-Augmented Framework for QoE-Oriented Communications
Data-intensive and immersive applications, such as virtual reality, impose stringent quality of experience (QoE) requirements that challenge traditional quality of service (QoS)-driven communication systems. This paper presents LightCom, a lightweight encoding and generative AI (GenAI)-augmented decoding framework, designed for QoE-oriented communications under low signal-to-noise ratio (SNR) conditions. LightCom simplifies transmitter design by applying basic low-pass filtering for source codi…

May 2025 recap | The latest edition of the GÉANT School of Software Engineering, hosted by PCSS, brought together developers and experts from across Europe to explore generative #AI tools, risks, secure coding practices.
Highlights:
🔹#GenAI Buzz-Free Programming with LLMs – training by Maciej Łabędzki…

Responsible AI in Practice: Shaping a Safer Future for AI-Powered Software Development | GÉANT CONNECT Online
Poznań, 20–22 May 2025 — The latest edition of the GÉANT School of Software Engineering, held at the Poznań Supercomputing and Networking Center (PSNC), brought together top-tier developers and experts from across Europe for a deep-dive into generative AI tools, risks, and secure coding practices. At the core of the event was the acclaimed training

In einem eventuellen Streit zwischen Meta und J. K. Rowling kann sich keine Seite auf mich verlassen. (Und sie brauchen mich ja auch gar nicht.)
https://arstechnica.com/ai/2025/06/study-metas-llama-3-1-can-recall-42-percent-of-the…

Study: Meta AI model can reproduce almost half of Harry Potter book
The research could have big implications for generative AI copyright lawsuits.

Muck Rack analysis of 1M citations by Gen AI models; journalistic content was cited 27% of the time, rising to 49% for queries implying "a level of recency" (Andrew Deck/Nieman Lab)
https://www.niemanlab.org/2025/07/generative-ai-…

A US judge rules that Meta's use of books to train AI is protected by fair use but says his opinion is more a reflection of the plaintiffs' poor arguments (Isaiah Poritz/Bloomberg Law)
https://news.bloomberglaw.com/legal-op

Meta Beats Copyright Suit From Authors Over AI Training on Books
Meta Platforms Inc. escaped a first-of-its-kind copyright lawsuit from a group of authors who alleged the tech giant hoovered up millions of copyrighted books without permission to train its generative AI model called Llama.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/7]:
- Domain-aligned generative downscaling enhances projections of extreme climate events
Ruian Tie, Xiaohui Zhong, Zhengyu Shi, Hao Li, Jun Liu, Wu Libo

"Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizations
Sanika Moharana, Cynthia L. Bennett, Erin Buehler, Michael Madaio, Vinita Tibdewal, Shaun K. Kane
https://arxiv.org/abs/2508.16607

"Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizations
The rapid emergence of generative AI has changed the way that technology is designed, constructed, maintained, and evaluated. Decisions made when creating AI-powered systems may impact some users disproportionately, such as people with disabilities. In this paper, we report on an interview study with 25 AI practitioners across multiple roles (engineering, research, UX, and responsible AI) about how their work processes and artifacts may impact end users with disabilities. We found that practiti…

Interpretable Evaluation of AI-Generated Content with Language-Grounded Sparse Encoders
Yiming Tang, Arash Lagzian, Srinivas Anumasa, Qiran Zou, Trang Nguyen, Ehsan Adeli, Ching-Yu Cheng, Yilun Du, Dianbo Liu
https://arxiv.org/abs/2508.18236

Interpretable Evaluation of AI-Generated Content with Language-Grounded Sparse Encoders
While the quality of AI-generated contents, such as synthetic images, has become remarkably high, current evaluation metrics provide only coarse-grained assessments, failing to identify specific strengths and weaknesses that researchers and practitioners need for model selection and development, further limiting the scientific understanding and commercial deployment of these generative models. To address this, we introduce Language-Grounded Sparse Encoders (LanSE), a novel architecture that cre…

YouTube gives Shorts creators access to new generative AI features powered by Veo 2, including an image-to-video tool and new effects (Aisha Malik/TechCrunch)
https://techcrunch.com/2025/07/23/youtube-shorts-is-adding-an-image-to-video-ai-…

YouTube Shorts is adding an image-to-video AI tool, new AI effects | TechCrunch
The image to video feature lets creators turn a picture from their camera roll into a a six-second video.

CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation
Zhejing Hu, Yan Liu, Gong Chen, Bruce X. B. Yu
https://arxiv.org/abs/2508.19603 htt…

CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation
Generative artificial intelligence in music has made significant strides, yet it still falls short of the substantial achievements seen in natural language processing, primarily due to the limited availability of music data. Knowledge-informed approaches have been shown to enhance the performance of music generation models, even when only a few pieces of musical knowledge are integrated. This paper seeks to leverage comprehensive music theory in AI-driven music generation tasks, such as algorit…

An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network
Yining Pang, Chenghan Li
https://arxiv.org/abs/2506.19871

An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network
Insurance fraud detection represents a pivotal advancement in modern insurance service, providing intelligent and digitalized monitoring to enhance management and prevent fraud. It is crucial for ensuring the security and efficiency of insurance systems. Although AI and machine learning algorithms have demonstrated strong performance in detecting fraudulent claims, the absence of standardized defense mechanisms renders current systems vulnerable to emerging adversarial threats. In this paper, w…

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices
Yile Gu, Rohan Kadekodi, Hoang Nguyen, Keisuke Kamahori, Yiyu Liu, Baris Kasikci
https://arxiv.org/abs/2506.17538

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices
The recent shift in Generative AI (GenAI) applications from cloud-only environments to end-user devices introduces new challenges in resource management, system efficiency, and user experience. This paper presents ConsumerBench, a comprehensive benchmarking framework designed to evaluate the system efficiency and response time of GenAI models running on end-user devices. Unlike existing benchmarks that assume exclusive model access on dedicated GPUs, ConsumerBench simulates realistic multi-appl…

Good article, regardless your opinion about GenAI , it will change society.
#ai

The Third Algorithm
ChatGPT and other generative AI isn't about to create superintelligence, but even if what we see now is it, the impact is on the scale of Google search and algorithmic social media, except maybe worse

DevLicOps: A Framework for Mitigating Licensing Risks in AI-Generated Code
Pratyush Nidhi Sharma, Lauren Wright, Anne Herfurth, Munsif Sokiyna, Pratyaksh Nidhi Sharma, Sethu Das, Mikko Siponen
https://arxiv.org/abs/2508.16853

DevLicOps: A Framework for Mitigating Licensing Risks in AI-Generated Code
Generative AI coding assistants (ACAs) are widely adopted yet pose serious legal and compliance risks. ACAs can generate code governed by restrictive open-source licenses (e.g., GPL), potentially exposing companies to litigation or forced open-sourcing. Few developers are trained in these risks, and legal standards vary globally, especially with outsourcing. Our article introduces DevLicOps, a practical framework that helps IT leaders manage ACA-related licensing risks through governance, incid…

'The digital commons should not be treated as an object ripe for extraction, but as an expression of “commoning” [Dulong de Rosnay and Stalder 2020]; i.e., as a manifestation of the practice of making, maintaining, and protecting shared and open resources.'
From 'Generative AI and the Future of the Digital Commons' https://www.…

Generative AI and the Future of the Digital Commons: Five Open Questions and Knowledge Gaps
The rapid advancement of Generative AI (GenAI) relies heavily on the digital commons, a vast collection of free and open online content that is created, shared, and maintained by communities. However, this relationship is becoming increasingly strained due to financial burdens, decreased contributions, and misalignment between AI models and community norms. As we move deeper into the GenAI era, it is essential to examine the interdependent relationship between GenAI, the long-term sustainabilit…

Using Generative AI to Uncover What Drives Player Enjoyment in PC and VR Games
Hisham Abdelqader
https://arxiv.org/abs/2508.16596 https://arxiv.org/pdf/250…

Using Generative AI to Uncover What Drives Player Enjoyment in PC and VR Games
As video games continue to evolve, understanding what drives player enjoyment remains a key challenge. Player reviews provide valuable insights, but their unstructured nature makes large-scale analysis difficult. This study applies generative AI and machine learning, leveraging Microsoft Phi-4 LLM and XGBoost, to quantify and analyze game reviews from Steam and Meta Quest stores. The approach converts qualitative feedback into structured data, enabling comprehensive evaluation of key game desig…

Generative Artificial Intelligence and Agents in Research and Teaching
Jussi S. Jauhiainen, Aurora Toppari
https://arxiv.org/abs/2508.16701 https://arxiv.o…

Generative Artificial Intelligence and Agents in Research and Teaching
This study provides a comprehensive analysis of the development, functioning, and application of generative artificial intelligence (GenAI) and large language models (LLMs), with an emphasis on their implications for research and education. It traces the conceptual evolution from artificial intelligence (AI) through machine learning (ML) and deep learning (DL) to transformer architectures, which constitute the foundation of contemporary generative systems. Technical aspects, including prompting…

In its December 2023 lawsuit against OpenAI, The New York Times produced dozens of examples where GPT-4 exactly reproduced significant passages from Times stories.
In its response, OpenAI described this as a “fringe behavior” and a “problem that researchers at OpenAI and elsewhere work hard to address.”
But is it actually a fringe behavior?
And have leading AI companies addressed it? 
New research—focusing on books rather than newspaper articles and on different compa…

Study: Meta AI model can reproduce almost half of Harry Potter book
The research could have big implications for generative AI copyright lawsuits.

Veracity: An Open-Source AI Fact-Checking System
Taylor Lynn Curtis, Maximilian Puelma Touzel, William Garneau, Manon Gruaz, Mike Pinder, Li Wei Wang, Sukanya Krishna, Luda Cohen, Jean-Fran\c{c}ois Godbout, Reihaneh Rabbany, Kellin Pelrine
https://arxiv.org/abs/2506.15794

Veracity: An Open-Source AI Fact-Checking System
The proliferation of misinformation poses a significant threat to society, exacerbated by the capabilities of generative AI. This demo paper introduces Veracity, an open-source AI system designed to empower individuals to combat misinformation through transparent and accessible fact-checking. Veracity leverages the synergy between Large Language Models (LLMs) and web retrieval agents to analyze user-submitted claims and provide grounded veracity assessments with intuitive explanations. Key feat…

Google has defended Search against the first wave of disruption from generative AI, but AI agents and apps that can reduce clicks now threaten its ad business (Richard Waters/Financial Times)

E.A.R.T.H.: Structuring Creative Evolution through Model Error in Generative AI
Yusen Peng, Shuhua Mao
https://arxiv.org/abs/2507.18004 https://arxiv.org/p…

E.A.R.T.H.: Structuring Creative Evolution through Model Error in Generative AI
How can AI move beyond imitation toward genuine creativity? This paper proposes the E.A.R.T.H. framework, a five-stage generative pipeline that transforms model-generated errors into creative assets through Error generation, Amplification, Refine selection, Transform, and Harness feedback. Drawing on cognitive science and generative modeling, we posit that "creative potential hides in failure" and operationalize this via structured prompts, semantic scoring, and human-in-the-loop evaluation. Im…

IAB survey: 86% of digital ad buyers use or plan to use generative AI for video ad creation, and expect it will account for 40% of all video ads by 2026 (Matthew Keys/TheDesk.net)
https://thedesk.net/2025/07/iab-generative-ai-ctv-advertising-report/

IAB: Generative AI, connected TV platforms influencing ad production
More than half of advertisers are using generative AI to create spots, the IAB concludes in its latest report.

Enlightening thread on Proton's new LLM
https://social.cryptography.dog/@ansuz/114906970072548804

Software Reuse in the Generative AI Era: From Cargo Cult Towards AI Native Software Engineering
Tommi Mikkonen, Antero Taivalsaari
https://arxiv.org/abs/2506.17937

Software Reuse in the Generative AI Era: From Cargo Cult Towards AI Native Software Engineering
Software development is currently under a paradigm shift in which artificial intelligence and generative software reuse are taking the center stage in software creation. Consequently, earlier software reuse practices and methods are rapidly being replaced by AI-assisted approaches in which developers place their trust on code that has been generated by artificial intelligence. This is leading to a new form of software reuse that is conceptually not all that different from cargo cult development…

Caregiver-in-the-Loop AI: A Simulation-Based Feasibility Study for Dementia Task Verification
Joy Lai, David Black, Kelly Beaton, Bing Ye, Alex Mihailidis
https://arxiv.org/abs/2508.18267

Caregiver-in-the-Loop AI: A Simulation-Based Feasibility Study for Dementia Task Verification
Caregivers of people living with dementia (PLwD) experience stress when verifying whether tasks are truly completed, even with digital reminder systems. Generative AI, such as GPT-4, may help by automating task verification through follow-up questioning and decision support. This feasibility study evaluates an AI-powered task verification system integrated with digital reminders for PLwD. It examines (1) GPT-4's ability to generate effective follow-up questions, (2) the accuracy of an AI-driv…

Weaving the Future: Generative AI and the Reimagining of Fashion Design
Pierre-Marie Chauvin (IFM, AHP-PReST), Ang\`ele Merlin (IFM, AHP-PReST), Xavier Fresquet (IFM, AHP-PReST), Hugo Caselles-Dupr\'e (IFM, AHP-PReST), Benjamin Simmenauer (IFM, AHP-PReST), Mathieu de Fayet
https://arxiv.org/abs/2507.17758…

Weaving the Future: Generative AI and the Reimagining of Fashion Design
This paper explores the integration of generative AI into the fashion design process. Drawing on insights from the January 2025 seminar ``Tisser le futur,'' it investigates how AI reshapes creative workflows, from ideation to prototyping, while interrogating the ethical, aesthetic, and labor implications. The paper highlights co-creative dynamics between humans and machines, the potential for aesthetic innovation, and the environmental and cultural challenges of algorithmic design.

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.

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation
Ashwath Vaithinathan Aravindan, Abha Jha, Matthew Salaway, Atharva Sandeep Bhide, Duygu Nur Yaldiz
https://arxiv.org/abs/2508.18235

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation
Text-to-image diffusion models have revolutionized generative AI, but their vulnerability to backdoor attacks poses significant security risks. Adversaries can inject imperceptible textual triggers into training data, causing models to generate manipulated outputs. Although text-based backdoor defenses in classification models are well-explored, generative models lack effective mitigation techniques against. We address this by selectively erasing the model's learned associations between adversa…

A profile of Stability AI, which under CEO Prem Akkaraju and Chair Sean Parker has shifted from building frontier AI models to a Hollywood-focused SaaS company (Zoë Schiffer/Wired)
https://www.wired.com/story/artificial-intelligence-hollywood-stability/

AI Isn’t Coming for Hollywood. It's Already Arrived
An early winner in the generative AI wars was near collapse—then bet everything on a star-studded comeback. Can Stability AI beat the competition?

Advanced Applications of Generative AI in Actuarial Science: Case Studies Beyond ChatGPT
Simon Hatzesberger, Iris Nonneman
https://arxiv.org/abs/2506.18942

Advanced Applications of Generative AI in Actuarial Science: Case Studies Beyond ChatGPT
This article demonstrates the transformative impact of Generative AI (GenAI) on actuarial science, illustrated by four implemented case studies. It begins with a historical overview of AI, tracing its evolution from early neural networks to modern GenAI technologies. The first case study shows how Large Language Models (LLMs) improve claims cost prediction by deriving significant features from unstructured textual data, significantly reducing prediction errors in the underlying machine learning…

A "watch your replay videos" reflection assignment on comparing programming without versus with generative AI: learning about programming, critical AI use and limitations, and reflection
Sarah "Magz" Fernandez, Greg L Nelson
https://arxiv.org/abs/2507.17226

A "watch your replay videos" reflection assignment on comparing programming without versus with generative AI: learning about programming, critical AI use and limitations, and reflection
Generative AI is disrupting computing education. Most interventions focus on teaching GenAI use rather than helping students understand how AI changes their programming process. We designed and deployed a novel comparative video reflection assignment adapting the Describe, Examine, then Articulate Learning (DEAL) framework. In an introductory software engineering course, students recorded themselves programming during their team project two times: first without, then with using generative AI. S…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/7]:
- Domain-aligned generative downscaling enhances projections of extreme climate events
Ruian Tie, Xiaohui Zhong, Zhengyu Shi, Hao Li, Jun Liu, Wu Libo

Federal judge concludes that using copyrighted works to train generative A.I. is transformative and ultimately a fair use.
#AI

Bartz

Understanding the Challenges and Promises of Developing Generative AI Apps: An Empirical Study
Buthayna AlMulla, Maram Assi, Safwat Hassan
https://arxiv.org/abs/2506.16453

Understanding the Challenges and Promises of Developing Generative AI Apps: An Empirical Study
The release of ChatGPT in 2022 triggered a rapid surge in generative artificial intelligence mobile apps (i.e., Gen-AI apps). Despite widespread adoption, little is known about how end users perceive and evaluate these Gen-AI functionalities in practice. In this work, we conduct a user-centered analysis of 676,066 reviews from 173 Gen-AI apps on the Google Play Store. We introduce a four-phase methodology, SARA (Selection, Acquisition, Refinement, and Analysis), that enables the systematic extr…

Analyzing Security and Privacy Challenges in Generative AI Usage Guidelines for Higher Education
Bei Yi Ng, Jiarui Li, Xinyuan Tong, Kevin Ye, Gauthami Yenne, Varun Chandrasekaran, Jingjie Li
https://arxiv.org/abs/2506.20463

Analyzing Security and Privacy Challenges in Generative AI Usage Guidelines for Higher Education
Educators and learners worldwide are embracing the rise of Generative Artificial Intelligence (GenAI) as it reshapes higher education. However, GenAI also raises significant privacy and security concerns, as models and privacy-sensitive user data, such as student records, may be misused by service providers. Unfortunately, end-users often have little awareness of or control over how these models operate. To address these concerns, universities are developing institutional policies to guide GenA…

"This strange brew of shock, confusion, and ambivalence, I’ve realized, is the defining emotion of the generative-AI era. Three years into the hype, it seems that one of AI’s enduring cultural impacts is to make people feel like they’re losing it."
https:/…

AI Is a Mass-Delusion Event
Three years in, one of AI’s enduring impacts is to make people feel like they’re losing it.

Internal memo: Goldman Sachs launches a generative AI assistant firmwide to boost productivity; around 10,000 employees are already using the GS AI Assistant (Reuters)
https://www.reuters.com/business/goldman-sachs-launches-ai-a…

Distinguishing Predictive and Generative AI in Regulation
Jennifer Wang, Andrew Selbst, Solon Barocas, Suresh Venkatasubramanian
https://arxiv.org/abs/2506.17347

Distinguishing Predictive and Generative AI in Regulation
Over the past decade, policymakers have developed a set of regulatory tools to ensure AI development aligns with key societal goals. Many of these tools were initially developed in response to concerns with predictive AI and therefore encode certain assumptions about the nature of AI systems and the utility of certain regulatory approaches. With the advent of generative AI, however, some of these assumptions no longer hold, even as policymakers attempt to maintain a single regulatory target tha…

A profile of Stability AI, which under CEO Prem Akkaraju and Chair Sean Parker has shifted from building frontier AI models to a Hollywood-focused SaaS company (Zoë Schiffer/Wired)
https://www.wired.com/story/artificial-intelligence-hollywood-stability/

AI Isn’t Coming for Hollywood. It's Already Arrived
An early winner in the generative AI wars was near collapse—then bet everything on a star-studded comeback. Can Stability AI beat the competition?

Exploring AI-Enabled Test Practice, Affect, and Test Outcomes in Language Assessment
Jill Burstein, Ramsey Cardwell, Ping-Ling Chuang, Allison Michalowski, Steven Nydick
https://arxiv.org/abs/2508.17108

Exploring AI-Enabled Test Practice, Affect, and Test Outcomes in Language Assessment
Practice tests for high-stakes assessment are intended to build test familiarity, and reduce construct-irrelevant variance which can interfere with valid score interpretation. Generative AI-driven, automated item generation (AIG) scales the creation of large item banks and multiple practice tests, enabling repeated practice opportunities. We conducted a large-scale observational study (N = 25,969) using the Duolingo English Test (DET) -- a digital, high-stakes, computer-adaptive English languag…

Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks
Manyi Li, Renshuai Tao, Yufan Liu, Chuangchuang Tan, Haotong Qin, Bing Li, Yunchao Wei, Yao Zhao
https://arxiv.org/abs/2506.20548

Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks
With the rapid advancement of deep learning, particularly through generative adversarial networks (GANs) and diffusion models (DMs), AI-generated images, or ``deepfakes", have become nearly indistinguishable from real ones. These images are widely shared across Online Social Networks (OSNs), raising concerns about their misuse. Existing deepfake detection methods overlook the ``block effects" introduced by compression in OSNs, which obscure deepfake artifacts, and primarily focus on raw images,…

Netflix used genAI for the first time in one of its TV shows, for a VFX sequence; Ted Sarandos says the VFX costs would have been too high otherwise (Mark Sweney/The Guardian)
https://www.theguardian.com/media/2025/jul/18/netflix-u…

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems
Zhangqi Liu
https://arxiv.org/abs/2507.17774 https://arxiv.org/pdf/2507.1…

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems
As artificial intelligence (AI) continues to evolve from a back-end computational tool into an interactive, generative collaborator, its integration into early-stage design processes demands a rethinking of traditional workflows in human-centered design. This paper explores the emergent paradigm of human-AI co-creation, where AI is not merely used for automation or efficiency gains, but actively participates in ideation, visual conceptualization, and decision-making. Specifically, we investigat…

Crosslisted article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new
[1/1]:
- WeDesign: Generative AI-Facilitated Community Consultations for Urban Public Space Design
Rashid Mushkani, Hugo Berard, Shin Koseki

Can theory-driven learning analytics dashboard enhance human-AI collaboration in writing learning? Insights from an empirical experiment
Angxuan Chen, Jingjing Lian, Xinran Kuang, Jiyou Jia
https://arxiv.org/abs/2506.19364

Can theory-driven learning analytics dashboard enhance human-AI collaboration in writing learning? Insights from an empirical experiment
The integration of Generative AI (GenAI) into education has raised concerns about over-reliance and superficial learning, particularly in writing tasks in higher education. This study explores whether a theory-driven learning analytics dashboard (LAD) can enhance human-AI collaboration in the academic writing task by improving writing knowledge gains, fostering self-regulated learning (SRL) skills and building different human-AI dialogue characteristics. Grounded in Zimmerman's SRL framework, t…

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).

AI Harmonizer: Expanding Vocal Expression with a Generative Neurosymbolic Music AI System
Lancelot Blanchard, Cameron Holt, Joseph A. Paradiso
https://arxiv.org/abs/2506.18143

AI Harmonizer: Expanding Vocal Expression with a Generative Neurosymbolic Music AI System
Vocals harmonizers are powerful tools to help solo vocalists enrich their melodies with harmonically supportive voices. These tools exist in various forms, from commercially available pedals and software to custom-built systems, each employing different methods to generate harmonies. Traditional harmonizers often require users to manually specify a key or tonal center, while others allow pitch selection via an external keyboard-both approaches demanding some degree of musical expertise. The AI …

An MIT report says 95% of GenAI pilots at companies have little to no financial impact, mainly due to a "learning gap" for both the tools and the companies (Sheryl Estrada/Fortune)
https://fortune.com/2025/08/18/mit-report-95-perc…

MIT report: 95% of generative AI pilots at companies are failing
There’s a stark difference in success rates between companies that purchase AI tools from vendors and those that build them internally.

A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology
Katelyn Morrison, Arpit Mathur, Aidan Bradshaw, Tom Wartmann, Steven Lundi, Afrooz Zandifar, Weichang Dai, Kayhan Batmanghelich, Motahhare Eslami, Adam Perer
https://arxiv.org/abs/2507.16207

A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology
As text-to-image generative models rapidly improve, AI researchers are making significant advances in developing domain-specific models capable of generating complex medical imagery from text prompts. Despite this, these technical advancements have overlooked whether and how medical professionals would benefit from and use text-to-image generative AI (GenAI) in practice. By developing domain-specific GenAI without involving stakeholders, we risk the potential of building models that are either …

Adobe releases iOS and Android apps for Firefly, letting users generate images and videos using text prompts and experiment with popular AI photo editing tools (Jess Weatherbed/The Verge)
https://www.theverge.com/news/688080/adobe-firefly-…

Adobe made a mobile app for its Firefly generative AI tools
The all-in-one platform for Adobe’s Firefly generative AI models is now available on iPhone and Android devices.

Designing for Learning with Generative AI is a Wicked Problem: An Illustrative Longitudinal Qualitative Case Series
Clara Scalzer, Saurav Pokhrel, Sara Hunt, Greg L Nelson
https://arxiv.org/abs/2507.17230

Designing for Learning with Generative AI is a Wicked Problem: An Illustrative Longitudinal Qualitative Case Series
Students continue their education when they feel their learning is meaningful and relevant for their future careers. Computing educators now face the challenge of preparing students for careers increasingly shaped by generative AI (GenAI) with the goals of supporting their learning, motivation, ethics, and career development. Our longitudinal qualitative study of students in a GenAI-integrated creative media course shows how this is a "wicked" problem: progress on one goal can then impede progr…

Anticipate, Simulate, Reason (ASR): A Comprehensive Generative AI Framework for Combating Messaging Scams
Xue Wen Tan, Kenneth See, Stanley Kok
https://arxiv.org/abs/2507.17543 …

Anticipate, Simulate, Reason (ASR): A Comprehensive Generative AI Framework for Combating Messaging Scams
The rapid growth of messaging scams creates an escalating challenge for user security and financial safety. In this paper, we present the Anticipate, Simulate, Reason (ASR) framework, a generative AI method that enables users to proactively identify and comprehend scams within instant messaging platforms. Using large language models, ASR predicts scammer responses, creates realistic scam conversations, and delivers real-time, interpretable support to end-users. We develop ScamGPT-J, a domain-sp…

Fanfiction in the Age of AI: Community Perspectives on Creativity, Authenticity and Adoption
Roi Alfassi, Angelora Cooper, Zoe Mitchell, Mary Calabro, Orit Shaer, Osnat Mokryn
https://arxiv.org/abs/2506.18706

Fanfiction in the Age of AI: Community Perspectives on Creativity, Authenticity and Adoption
The integration of Generative AI (GenAI) into creative communities, like fanfiction, is reshaping how stories are created, shared, and valued. This study investigates the perceptions of 157 active fanfiction members, both readers and writers, regarding AI-generated content in fanfiction. Our research explores the impact of GenAI on community dynamics, examining how AI affects the participatory and collaborative nature of these spaces. The findings reveal responses ranging from cautious acceptan…

Hollywood insiders report widespread off-the-books AI experimentation in studios, often hidden due to avoid backlash, despite union contracts limiting AI use (Lila Shapiro/Vulture)
https://www.vulture.com/article/generative-ai-hollywood-movies-tv.html…

Hollywood Already Uses Generative AI (And Is Hiding It)
With dozens of new studios and rapidly evolving tech, generative AI video is more embedded in Hollywood movies and TV than we may realize.