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Physics Preprint PDF DOI

A No-Cloning Trade-off Between Black Hole No-Hair and Horizon Smoothness

Sudhanva Joshi, Sunil Kumar Mishra · 2026

The black hole no-hair theorem is traditionally derived from the uniqueness theorems of general relativity. We show that a quantitative form follows from unitarity together with the standard semiclass…

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Computer Science Preprint PDF DOI

When and How AI Should Assist Brainstorming for AI Impact Assessment

Jarod Govers, Sanja Scepanovic, Daniele Quercia · 2026

A key task in AI practice is to assess potential impacts to prevent harm. Current AI tools assisting AI impact assessment have not been designed or evaluated for collaborative team brainstorming, and …

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Physics Preprint PDF DOI

Spin-Induced Nonlinear Scalarization of Kerr Black Holes in Einstein-scalar-Gauss-Bonnet Gravity

Meng-Yun Lai, Hyat Huang, Jutta Kunz, Yun Soo Myung, De-Cheng Zou · 2026

We investigate spin-induced scalarization of Kerr black holes in an Einstein-scalar-Gauss-Bonnet (EsGB) model that does not admit a linear tachyonic instability of the scalar-free solution. The scalar…

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Engineering Preprint PDF DOI

On the Nesterov's acceleration: A NAIM perspective

Rachit Mehra, M Parimi, Amol Yerudkar, S.R. Wagh, Navdeep Singh · 2026

We present a unifying Nearly Asymptotically Invariant Manifold (NAIM) framework for understanding Nesterovs Accelerated Gradient (NAG) method. By lifting the first-order gradient flow into a second-or…

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Computer Science Preprint PDF DOI

From Notepad AI to Social Media: How Can Text Style Transformation Mitigate Social Harm?

Syed Mhamudul Hasan, Mohd. Farhan Israk Soumik, Abdur R. Shahid · 2026

The rapid proliferation of harmful and emotionally damaging content on social media platforms has intensified concerns regarding societal harm. While content moderation efforts primarily focus on dete…

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AI & Data Science Preprint PDF DOI

From Prompt Risk to Response Risk: Paired Analysis of Safety Behavior of Large Language Model

Mengya Hu, Qiong Wei, Sandeep Atluri · 2026

Safety evaluations of large language models (LLMs) typically report binary outcomes such as attack success rate, refusal rate, or harmful/not-harmful response classification. While useful, these can h…

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Computer Science Preprint PDF DOI

Lexical Anthropomorphization Influences on Moral Judgments of AI Bad Behavior

Jaime Banks, Nicholas David Bowman, Roman Saladino · 2026

Anthropomorphic language describing artificial intelligence (AI) is widespread in media, policy, and everyday discourse; so too are discussions of AI bad behavior, from hallucinations to inappropriate…

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Physics Preprint PDF DOI

Thermodynamic Phase Transitions in Einstein-Maxwell-Scalar-Gauss-Bonnet Gravity

Cristian Erices, Stella Kiorpelidi · 2026

Although asymptotically flat black holes generically lack thermodynamic phase transitions, we show that curvature-induced scalarization of electrically charged black holes in Einstein-Maxwell- Scalar-…

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Computer Science Preprint PDF DOI

Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains

Emaan Bilal Khan, Amy Winecoff, Miranda Bogen, Dylan Hadfield-Menell · 2026

Foundation models are routinely fine-tuned for use in particular domains, yet safety assessments are typically conducted only on base models, implicitly assuming that safety properties persist through…

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Computer Science Preprint PDF DOI

Why AI Harms Can't Be Fixed One Identity at a Time: What 5300 Incident Reports Reveal About Intersectionality

Edyta Bogucka, Sanja Scepanovic, Daniele Quercia · 2026

AI risk assessment is the primary tool for identifying harms caused by AI systems. These include intersectional harms, which arise from the interaction between identity categories (e.g., class and ski…

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Sociology & Anthropology Preprint PDF DOI

Leadership, Cooperation and Conflicts in Physics -- Research Leaders' Perspective

Maike Reimer, Bianca Burkert, Theresa Goerg, Isabell M. Welpe · 2026

Conflict in research teams was a near-ubiquitous phenomenon, with the three top issues being lack of respect or overconfidence, non-collegial behaviour and authorship. Most frequently involved (and pe…

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AI & Data Science Preprint PDF DOI

Seeing Is No Longer Believing: Frontier Image Generation Models, Synthetic Visual Evidence, and Real-World Risk

Shuai Wu, Xue Li, Yanna Feng, Yufang Li, Zhijun Wang, Ran Wang · 2026

Frontier image generation has moved from artistic synthesis toward synthetic visual evidence. Systems such as GPT Image 2, Nano Banana Pro, Nano Banana 2, Grok Imagine, Qwen Image 2.0 Pro, and Seedrea…

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AI & Data Science Preprint PDF DOI

AI Safety Training Can be Clinically Harmful

Suhas BN, Andrew M. Sherrill, Rosa I. Arriaga, Chris W. Wiese, Saeed Abdullah · 2026

Large language models are being deployed as mental health support agents at scale, yet only 16% of LLM-based chatbot interventions have undergone rigorous clinical efficacy testing, and simulations re…

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Computer Science Preprint PDF DOI

Designing escalation criteria for international AI incident response: criteria, triggers, and thresholds

Francesca Gomez, Matthew Ball, Michael Harre, Lydia Preston, Josephine Schwab, Caio Machado · 2026

AI incident reporting requirements are emerging in regulation and policy, yet no operational criteria exist for determining when a detected AI incident warrants escalation beyond national handling to …

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AI & Data Science Preprint PDF DOI

Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities

Ilana Nguyen, Harini Suresh, Thema Monroe-White, Evan Shieh · 2026

Large language models (LLMs) are increasingly used for text generation tasks from everyday use to high-stakes enterprise and government applications, including simulated interviews with asylum seekers…

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Computer Science Preprint PDF DOI

What People See (and Miss) About Generative AI Risks: Perceptions of Failures, Risks, and Who Should Address Them

Megan Li, Wendy Bickersteth, Ningjing Tang, Parv Kapoor, Khinezin Win, Peter Zhong, Jason I. Hong, Lorrie Faith Cranor, Hoda Heidari, Hong Shen · 2026

Despite growing concerns about the risks of Generative AI (GenAI), there is limited understanding of public perceptions of these risks and their associated failure modes -- defined as recurring patter…

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Engineering Preprint PDF DOI

RedVLA: Physical Red Teaming for Vision-Language-Action Models

Yuhao Zhang, Borong Zhang, Jiaming Fan, Jiachen Shen, Yishuai Cai, Yaodong Yang, Jiaming Ji · 2026

The real-world deployment of Vision-Language-Action (VLA) models remains limited by the risk of unpredictable and irreversible physical harm. However, we currently lack effective mechanisms to proacti…

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Physics Preprint PDF DOI

Spontaneous spherical symmetry breaking of black holes with resonant hair

Jose Ferreira, Carlos A. R. Herdeiro, Eugen Radu, Miguel Zilhao · 2026

Black holes with resonant hair are static, spherical, electrically charged solutions of the Einstein-Maxwell-(gauged-)scalar system. Scalar self-interactions are mandatory for their existence. Initial…

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Physics Preprint PDF DOI

Shadow dependent phenomenology framework for rotating black hole metric

Nikko John Leo S. Lobos, Emmanuel T. Rodulfo · 2026

We establish a thermodynamic-optical duality that directly bridges the semiclassical quantum evaporation of black holes with their classical macroscopic geometry. By employing a diffeomorphic inversio…

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AI & Data Science Preprint PDF DOI

Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems

Meghana Karnam, Ananya Joshi · 2026

Emerging AI systems in behavioral health and psychiatry use multi-step or multi-agent LLM pipelines for tasks like assessing self-harm risk and screening for depression. However, common evaluation app…

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