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• On Perception of Prevalence of Cheating and Usage of Generative AI
  This report investigates the perceptions of teaching staff on the prevalence of student cheating and the impact of Generative AI on academic integrity. Data was collected via an anonymous survey of teachers at the Department of Information Technology at Uppsal…
  arxiv Roman Denkin 2024-05-29T08:46:00Z 置信度 0.78 cs.CYcs.AI
• AI For Privacy in Smart Homes: Exploring How Leveraging AI-Powered Smart Devices Enhances Privacy Protection
  Privacy concerns and fears of unauthorized access in smart home devices often stem from misunderstandings about how data is collected, used, and protected. This study explores how AI-powered tools can offer innovative privacy protections through clear, persona…
  arxiv Wael Albayaydh, Ivan Flechais, Rui Zhao, Jood Albayaydh 2025-09-17T14:53:58Z 置信度 0.78 cs.HCcs.CY
• It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education
  The performance of Large Language Models (LLMs) on multiple-choice question (MCQ) benchmarks is frequently cited as proof of their medical capabilities. We hypothesized that LLM performance on medical MCQs may in part be illusory and driven by factors beyond m…
  arxiv Shrutika Singh, Anton Alyakin, Daniel Alexander Alber, Jaden Stryker 等 2025-03-13T19:42:04Z 置信度 0.78 cs.CLcs.AIcs.CY
• When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Education
  The AIED community envisions AI evolving "from tools to teammates," yet most research still examines AI agents primarily through one-on-one human-AI interactions. We provide an alternative perspective: a rapidly growing ecosystem of AI agent platforms where ov…
  arxiv Eason Chen, Ce Guan, Zhonghao Zhao, Joshua Zekeri 等 2026-03-17T15:30:36Z 置信度 0.78 cs.CYcs.AIcs.HCcs.MA
• Evaluating AI Evaluation: Perils and Prospects
  As AI systems appear to exhibit ever-increasing capability and generality, assessing their true potential and safety becomes paramount. This paper contends that the prevalent evaluation methods for these systems are fundamentally inadequate, heightening the ri…
  arxiv John Burden 2024-07-12T12:37:13Z 置信度 0.78 cs.AIcs.CY
• Steerable Cultural Preference Optimization of Reward Models
  It is essential for large language model (LLM) technology to serve many different cultural sub-communities in a manner that is acceptable to each community. However, research on LLM alignment has so far predominantly focused on predicting a unified response pr…
  arxiv Minsik Oh, Advit Deepak, Sophie Wu, Douwe Kiela 等 2026-06-17T02:10:07Z 置信度 0.78 cs.CLcs.AI
• AI Alignment From Social Choice Perspectives
  Alignment from human feedback uses human judgments about model outputs to steer the behavior of language models after pretraining. When those judgments reflect conflicting views of desirable behavior, the learned objective becomes an aggregate determination of…
  arxiv Daniel Halpern, Evi Micha, Ariel D. Procaccia, Benjamin Schiffer 等 2026-06-19T15:47:01Z 置信度 0.78 cs.AI
• Toward Ethical AI: A Qualitative Analysis of Stakeholder Perspectives
  As Artificial Intelligence (AI) systems become increasingly integrated into various aspects of daily life, concerns about privacy and ethical accountability are gaining prominence. This study explores stakeholder perspectives on privacy in AI systems, focusing…
  arxiv Ajay Kumar Shrestha, Sandhya Joshi 2025-01-23T02:06:25Z 置信度 0.78 cs.CYcs.AI
• AI Disclosure with DAISY
  The use of AI tools in research is becoming routine, alongside growing consensus that such use should be transparently disclosed. However, AI disclosure statements remain rare and inconsistent, with policies offering limited guidance and authors facing social,…
  arxiv Yoana Ahmetoglu, Marios Constantinides, Anna Cox 2026-04-03T06:09:30Z 置信度 0.78 cs.HC
• Understanding the Effects of AI-Assisted Critical Thinking on Human-AI Decision Making
  Despite the growing prevalence of human-AI decision making, the human-AI team's decision performance often remains suboptimal, partially due to insufficient examination of humans' own reasoning. In this paper, we explore designing AI systems that directly anal…
  arxiv Harry Yizhou Tian, Hasan Amin, Ming Yin 2026-02-10T19:13:53Z 置信度 0.78 cs.HC
• The AI Double Standard: Humans Judge All AIs for the Actions of One
  Robots and other artificial intelligence (AI) systems are widely perceived as moral agents responsible for their actions. As AI proliferates, these perceptions may become entangled via the moral spillover of attitudes towards one AI to attitudes towards other …
  arxiv Aikaterina Manoli, Janet V. T. Pauketat, Jacy Reese Anthis 2024-12-08T19:26:52Z 置信度 0.78 cs.AIcs.CYcs.ETcs.HC
• Towards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and Development
  Lived experiences fundamentally shape how individuals interact with AI systems, influencing perceptions of safety, trust, and usability. While prior research has focused on developing techniques to emulate human preferences, and proposed taxonomies to categori…
  arxiv Sanjana Gautam, Mohit Chandra, Ankolika De, Tatiana Chakravorti 等 2025-08-09T06:12:40Z 置信度 0.78 cs.CYcs.AIcs.HC
• Trust in AI and Its Role in the Acceptance of AI Technologies
  As AI-enhanced technologies become common in a variety of domains, there is an increasing need to define and examine the trust that users have in such technologies. Given the progress in the development of AI, a correspondingly sophisticated understanding of t…
  arxiv Hyesun Choung, Prabu David, Arun Ross 2022-03-23T19:18:19Z 置信度 0.78 cs.AIcs.HC
• Towards Environmentally Equitable AI
  The skyrocketing demand for artificial intelligence (AI) has created an enormous appetite for globally deployed power-hungry servers. As a result, the environmental footprint of AI systems has come under increasing scrutiny. More crucially, the current way tha…
  arxiv Mohammad Hajiesmaili, Shaolei Ren, Ramesh K. Sitaraman, Adam Wierman 2024-12-21T08:46:19Z 置信度 0.78 cs.LGcs.AIcs.CY
• Why we do need Explainable AI for Healthcare
  The recent spike in certified Artificial Intelligence (AI) tools for healthcare has renewed the debate around adoption of this technology. One thread of such debate concerns Explainable AI and its promise to render AI devices more transparent and trustworthy. …
  arxiv Giovanni Cinà, Tabea Röber, Rob Goedhart, Ilker Birbil 2022-06-30T15:35:50Z 置信度 0.78 cs.HCcs.AIcs.LG
• Semantic Alignment of Unimodal Medical Text and Vision Representations
  General-purpose AI models, particularly those designed for text and vision, demonstrate impressive versatility across a wide range of deep-learning tasks. However, they often underperform in specialised domains like medical imaging, where domain-specific solut…
  arxiv Maxime Di Folco, Emily Chan, Marta Hasny, Cosmin I. Bercea 等 2025-03-06T14:28:17Z 置信度 0.78 cs.CV
• Chaining Tasks, Redefining Work: A Theory of AI Automation
  Production is a sequence of steps that can be executed (1) manually, (2) augmented with AI, or (3) fully automated within contiguous AI-executed steps called ''chains.'' Firms optimally bundle steps into tasks and then jobs, trading off specialization gains ag…
  arxiv Mert Demirer, John J. Horton, Nicole Immorlica, Brendan Lucier 等 2026-06-14T18:38:16Z 置信度 0.78 econ.GNcs.GT
• Meta-Sealing: A Revolutionizing Integrity Assurance Protocol for Transparent, Tamper-Proof, and Trustworthy AI System
  The Artificial intelligence in critical sectors-healthcare, finance, and public safety-has made system integrity paramount for maintaining societal trust. Current verification methods for AI systems lack comprehensive lifecycle assurance, creating significant …
  arxiv Mahesh Vaijainthymala Krishnamoorthy 2024-10-31T15:31:22Z 置信度 0.78 cs.CRcs.AI
• Why AI Safety Requires Uncertainty, Incomplete Preferences, and Non-Archimedean Utilities
  How can we ensure that AI systems are aligned with human values and remain safe? We can study this problem through the frameworks of the AI assistance and the AI shutdown games. The AI assistance problem concerns designing an AI agent that helps a human to max…
  arxiv Alessio Benavoli, Alessandro Facchini, Marco Zaffalon 2025-12-29T14:47:05Z 置信度 0.78 cs.AIcs.GT
• We Are All Creators: Generative AI, Collective Knowledge, and the Path Towards Human-AI Synergy
  Generative AI presents a profound challenge to traditional notions of human uniqueness, particularly in creativity. Fueled by neural network based foundation models, these systems demonstrate remarkable content generation capabilities, sparking intense debates…
  arxiv Jordi Linares-Pellicer, Juan Izquierdo-Domenech, Isabel Ferri-Molla, Carlos Aliaga-Torro 2025-04-10T17:50:17Z 置信度 0.78 cs.AI
• Alignment for Honesty
  Recent research has made significant strides in aligning large language models (LLMs) with helpfulness and harmlessness. In this paper, we argue for the importance of alignment for \emph{honesty}, ensuring that LLMs proactively refuse to answer questions when …
  arxiv Yuqing Yang, Ethan Chern, Xipeng Qiu, Graham Neubig 等 2023-12-12T06:10:42Z 置信度 0.78 cs.CLcs.AI
• AI, Digital Platforms, and the New Systemic Risk
  As artificial intelligence (AI) becomes increasingly embedded in digital, social, and institutional infrastructures, and AI and platforms are merged into hybrid structures, systemic risk has emerged as a critical but undertheorized challenge. In this paper, we…
  arxiv Philipp Hacker, Lilian Edwards, Atoosa Kasirzadeh 2025-09-22T15:14:23Z 置信度 0.78 cs.CY
• Improving spliced alignment for identification of ortholog groups and multiple CDS alignment
  The Spliced Alignment Problem (SAP) that consists in finding an optimal semi-global alignment of a spliced RNA sequence on an unspliced genomic sequence has been largely considered for the prediction and the annotation of gene structures in genomes. Here, we r…
  arxiv Jean-David Aguilar, Safa Jammali, Esaie Kuitche, Aïda Ouangraoua 2017-09-18T20:56:29Z 置信度 0.78 cs.DSq-bio.GN
• Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems
  With the rapid advancement of AI, there is a growing trend to integrate AI into decision-making processes. However, AI systems may exhibit biases that lead decision-makers to draw unfair conclusions. Notably, the COMPAS system used in the American justice syst…
  arxiv Chih-Cheng Rex Yuan, Bow-Yaw Wang 2024-08-24T17:16:50Z 置信度 0.78 cs.CYcs.AIcs.HC
• Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks
  In an era where digital threats are increasingly sophisticated, the intersection of Artificial Intelligence and cybersecurity presents both promising defenses and potent dangers. This paper delves into the escalating threat posed by the misuse of AI, specifica…
  arxiv Yusuf Usman, Aadesh Upadhyay, Prashnna Gyawali, Robin Chataut 2024-08-23T02:56:13Z 置信度 0.78 cs.CRcs.AI
• Network Alignment
  Complex networks are frequently employed to model physical or virtual complex systems. When certain entities exist across multiple systems simultaneously, unveiling their corresponding relationships across the networks becomes crucial. This problem, known as n…
  arxiv Rui Tang, Ziyun Yong, Shuyu Jiang, Xingshu Chen 等 2025-04-15T16:32:09Z 置信度 0.78 physics.soc-phcs.CL
• AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures
  As AI systems' sophistication and proliferation have increased, awareness of the risks has grown proportionally (Sorkin et al. 2023). In response, calls have grown for stronger emphasis on disclosure and transparency in the AI industry (NTIA 2023; OpenAI 2023b…
  arxiv Eli Sherman, Ian W. Eisenberg 2023-09-22T20:45:15Z 置信度 0.78 cs.AIcs.CY
• Strategic AI Governance: Insights from Leading Nations
  Artificial Intelligence (AI) has the potential to revolutionize various sectors, yet its adoption is often hindered by concerns about data privacy, security, and the understanding of AI capabilities. This paper synthesizes AI governance approaches, strategic t…
  arxiv Dian W. Tjondronegoro 2024-09-16T06:00:42Z 置信度 0.78 cs.CYcs.AI
• NVIDIA AI Aerial: AI-Native Wireless Communications
  6G brings a paradigm shift towards AI-native wireless systems, necessitating the seamless integration of digital signal processing (DSP) and machine learning (ML) within the software stacks of cellular networks. This transformation brings the life cycle of mod…
  arxiv Kobi Cohen-Arazi, Michael Roe, Zhen Hu, Rohan Chavan 等 2025-10-02T00:10:20Z 置信度 0.78 cs.LG
• QuantBench: Benchmarking AI Methods for Quantitative Investment
  The field of artificial intelligence (AI) in quantitative investment has seen significant advancements, yet it lacks a standardized benchmark aligned with industry practices. This gap hinders research progress and limits the practical application of academic i…
  arxiv Saizhuo Wang, Hao Kong, Jiadong Guo, Fengrui Hua 等 2025-04-24T18:47:22Z 置信度 0.78 q-fin.CPcs.AIcs.CE
• AI Integration In ERP Evaluation Across Trends and Architectures
  The incorporation of Artificial Intelligence (AI) into Enterprise Resource Planning (ERP) is a dramatic transition from static, on-premises systems to systems that can adapt and operate in cloud-native architectures. Cloud ERP solutions like Workday illustrate…
  arxiv Monu Sharma 2025-11-13T04:29:44Z 置信度 0.78 cs.CY
• Group Alignment-Induced Sycophancy: A Two-Sided Evaluation of Steerable Pluralistic Alignment
  Group alignment adapts a language model to a demographic group to produce responses that reflect the group's opinions, values, and preferences. Sycophancy, a well-documented by-product of alignment, causes the model to over-agree with the user regardless of fa…
  arxiv Haokai Zhao, Yunze Xiao, Weihao Xuan, Flora Salim 等 2026-08-12T00:39:24Z 置信度 0.78 cs.CL
• Generative AI as Economic Agents
  Traditionally, AI has been modeled within economics as a technology that impacts payoffs by reducing costs or refining information for human agents. Our position is that, in light of recent advances in generative AI, it is increasingly useful to model AI itsel…
  arxiv Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins 2024-06-01T16:15:18Z 置信度 0.78 econ.TH
• AI Safety: A Climb To Armageddon?
  This paper presents an argument that certain AI safety measures, rather than mitigating existential risk, may instead exacerbate it. Under certain key assumptions - the inevitability of AI failure, the expected correlation between an AI system's power at the p…
  arxiv Herman Cappelen, Josh Dever, John Hawthorne 2024-05-30T08:41:54Z 置信度 0.78 cs.AI
• A Systematic Review of Green AI
  With the ever-growing adoption of AI-based systems, the carbon footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to hold themselves accountable for the carbon emissions of the AI models they design and use. This led …
  arxiv Roberto Verdecchia, June Sallou, Luís Cruz 2023-01-26T11:41:46Z 置信度 0.78 cs.AI
• AI Regulation in Europe: From the AI Act to Future Regulatory Challenges
  This chapter provides a comprehensive discussion on AI regulation in the European Union, contrasting it with the more sectoral and self-regulatory approach in the UK. It argues for a hybrid regulatory strategy that combines elements from both philosophies, emp…
  arxiv Philipp Hacker 2023-10-06T07:52:56Z 置信度 0.78 cs.CYcs.AI
• Improving Health Professionals' Onboarding with AI and XAI for Trustworthy Human-AI Collaborative Decision Making
  With advanced AI/ML, there has been growing research on explainable AI (XAI) and studies on how humans interact with AI and XAI for effective human-AI collaborative decision-making. However, we still have a lack of understanding of how AI systems and XAI shoul…
  arxiv Min Hun Lee, Silvana Xin Yi Choo, Shamala D/O Thilarajah 2024-05-26T04:30:17Z 置信度 0.78 cs.HCcs.AIcs.LG
• The Epidemiology of Artificial Intelligence
  Artificial intelligence (AI) systems increasingly shape how people access health information, make medical decisions, and receive care -- yet epidemiology lacks frameworks for measuring AI exposure or studying its health effects at the population level. Here w…
  arxiv Harsh Parikh, Tyler McCormick, Emily Johnson, Leo Hickey 等 2026-04-15T16:59:10Z 置信度 0.78 stat.OT
• The Virtuous Cycle: AI-Powered Vector Search and Vector Search-Augmented AI
  Modern AI and vector search are rapidly converging, forming a promising research frontier in intelligent information systems. On one hand, advances in AI have substantially improved the semantic accuracy and efficiency of vector search, including learned index…
  arxiv Jiuqi Wei, Quanqing Xu, Chuanhui Yang 2026-03-10T08:28:58Z 置信度 0.78 cs.DB
• Acts: A common tracking software
  The reconstruction of charged particle trajectories is one of the most complex and CPU consuming parts of event processing in high energy experiments. At future hadron colliders such as the High-Luminosity Large Hadron Collider (HL-LHC) or the Future Circular …
  arxiv Xiaocong Ai 2019-10-07T23:18:09Z 置信度 0.78 physics.ins-dethep-ex
• Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence
  Pearson's r, the most widely-used correlation coefficient, is traditionally regarded as exclusively capturing linear dependence, leading to its discouragement in contexts involving nonlinear relationships. However, recent research challenges this notion, sugge…
  arxiv Xinbo Ai 2022-05-09T21:33:15Z 置信度 0.78 stat.OT
• Triangular cutoff threshold for the inversion walk on tournaments and the state space of restricted inversions
  Given a labelled tournament on $[n]$, \emph{inverting} a vertex subset $X$ means reversing every edge with both endpoints in $X$. Alon, Powierski, Savery, Scott, and Wilmer~\cite{AlonPowierskiSaveryScottWilmer2024} asked for the mixing time of the Markov chain…
  arxiv Jiangdong Ai 2026-03-02T02:04:26Z 置信度 0.78 math.CO
• AI-AI co-creation outperforms human pairs in creative tasks
  Prior research often finds that AI creativity is limited: single systems rarely outperform humans, and human-AI collaboration does not exceed human output. We argue these conclusions underestimate AI's potential because most studies do not allow iterative, mul…
  arxiv Yingyue Luna Luan, Luning Sun, Yeun Joon Kim, Jindong Wang 等 2026-08-10T02:25:28Z 置信度 0.78 cs.CY
• Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment
  The risks of frontier AI may require international cooperation, which in turn may require verification: checking that all parties follow agreed-on rules. For instance, states might need to verify that powerful AI models are widely deployed only after their ris…
  arxiv Mauricio Baker, Gabriel Kulp, Oliver Marks, Miles Brundage 等 2025-07-21T17:45:15Z 置信度 0.78 cs.CY
• AI Fairness: from Principles to Practice
  This paper summarizes and evaluates various approaches, methods, and techniques for pursuing fairness in artificial intelligence (AI) systems. It examines the merits and shortcomings of these measures and proposes practical guidelines for defining, measuring, …
  arxiv Arash Bateni, Matthew C. Chan, Ray Eitel-Porter 2022-07-20T11:37:46Z 置信度 0.78 cs.CYcs.AIcs.LG
• Emergent alignment and the projectability of ethical personas
  Work on `emergent misalignment' shows that finetuning LLMs on narrow tasks can induce broadly misaligned behavior. This supports the `persona selection' (PSM) hypothesis: during pre-training, LLMs learn to simulate different characters and perspectives, which …
  arxiv Guillermo Del Pinal, Youngchan Lee, Calum McNamara, Alejandro Perez Carballo 2026-06-08T13:30:29Z 置信度 0.78 cs.AIcs.LG
• Comprehensive AI Assessment Framework: Enhancing Educational Evaluation with Ethical AI Integration
  The integration of generative artificial intelligence (GenAI) tools into education has been a game-changer for teaching and assessment practices, bringing new opportunities, but also novel challenges which need to be dealt with. This paper presents the Compreh…
  arxiv Selçuk Kılınç 2024-06-07T07:18:42Z 置信度 0.78 cs.CYcs.AI
• The future of generative AI chatbots in higher education
  The integration of generative Artificial Intelligence (AI) chatbots in higher education institutions (HEIs) is reshaping the educational landscape, offering opportunities for enhanced student support, and administrative and research efficiency. This study expl…
  arxiv Joshua Ebere Chukwuere 2024-03-20T10:44:03Z 置信度 0.78 cs.CY
• Graph AI in Medicine
  In clinical artificial intelligence (AI), graph representation learning, mainly through graph neural networks (GNNs), stands out for its capability to capture intricate relationships within structured clinical datasets. With diverse data -- from patient record…
  arxiv Ruth Johnson, Michelle M. Li, Ayush Noori, Owen Queen 等 2023-10-20T19:01:01Z 置信度 0.78 cs.LG
• Limits of Safe AI Deployment: Differentiating Oversight and Control
  Oversight and control, which we collectively call supervision, are often discussed as ways to ensure that AI systems are accountable, reliable, and able to fulfill governance and management requirements. However, the requirements for "human oversight" risk cod…
  arxiv David Manheim, Aidan Homewood 2025-07-04T12:22:35Z 置信度 0.78 cs.AIeess.SY
• Thermodynamic AI and the fluctuation frontier
  Many Artificial Intelligence (AI) algorithms are inspired by physics and employ stochastic fluctuations. We connect these physics-inspired AI algorithms by unifying them under a single mathematical framework that we call Thermodynamic AI. Seemingly disparate a…
  arxiv Patrick J. Coles, Collin Szczepanski, Denis Melanson, Kaelan Donatella 等 2023-02-09T17:18:36Z 置信度 0.78 cs.ETcs.AIquant-ph
• Self-Explanation in Social AI Agents
  Social AI agents interact with members of a community, thereby changing the behavior of the community. For example, in online learning, an AI social assistant may connect learners and thereby enhance social interaction. These social AI assistants too need to e…
  arxiv Rhea Basappa, Mustafa Tekman, Hong Lu, Benjamin Faught 等 2025-01-19T03:03:15Z 置信度 0.78 cs.CLcs.AIcs.CY
• Enriching Moral Perspectives on AI: Concepts of Trust amongst Africans
  The trustworthiness of AI is considered essential to the adoption and application of AI systems. However, the meaning of trust varies across industry, research and policy spaces. Studies suggest that professionals who develop and use AI regard an AI system as …
  arxiv Lameck Mbangula Amugongo, Nicola J Bidwell, Joseph Mwatukange 2025-08-18T12:04:40Z 置信度 0.78 cs.CYcs.AI
• The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice
  Despite the growing consensus that stakeholders affected by AI systems should participate in their design, enormous variation and implicit disagreements exist among current approaches. For researchers and practitioners who are interested in taking a participat…
  arxiv Fernando Delgado, Stephen Yang, Michael Madaio, Qian Yang 2023-10-02T05:30:42Z 置信度 0.78 cs.HCcs.AI
• WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI
  There has been growing interest from both practitioners and researchers in engaging end users in AI auditing, to draw upon users' unique knowledge and lived experiences. However, we know little about how to effectively scaffold end users in auditing in ways th…
  arxiv Wesley Hanwen Deng, Wang Claire, Howard Ziyu Han, Jason I. Hong 等 2025-01-02T18:16:26Z 置信度 0.78 cs.HC
• ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry
  The emergence of deep research systems presents significant capabilities in problem-solving, extending from basic queries to sophisticated research tasks. However, existing benchmarks primarily evaluate these systems as agents for web retrieval and report gene…
  arxiv Tianze Xu, Pengrui Lu, Lyumanshan Ye, Xiangkun Hu 等 2025-07-22T06:51:26Z 置信度 0.78 cs.AI
• Nonuniformity Principle in Human-AI Coworking
  As generative AI is increasingly applied to automate multi-step and high-stake workflows, human judgment and involvement remain essential for ensuring the quality of AI-generated outputs. In practice, while it is desirable for human experts to provide oversigh…
  arxiv An Luo, Jie Ding 2026-07-17T22:10:07Z 置信度 0.78 cs.AIstat.ME
• C3AI: Crafting and Evaluating Constitutions for Constitutional AI
  Constitutional AI (CAI) guides LLM behavior using constitutions, but identifying which principles are most effective for model alignment remains an open challenge. We introduce the C3AI framework (\textit{Crafting Constitutions for CAI models}), which serves t…
  arxiv Yara Kyrychenko, Ke Zhou, Edyta Bogucka, Daniele Quercia 2025-02-21T10:26:42Z 置信度 0.78 cs.AIcs.CL
• The Societal Response to Potentially Sentient AI
  We may soon develop highly human-like AIs that appear-or perhaps even are-sentient, capable of subjective experiences such as happiness and suffering. Regardless of whether AI can achieve true sentience, it is crucial to anticipate and understand how the publi…
  arxiv Lucius Caviola 2025-02-01T10:22:04Z 置信度 0.78 cs.CY
• RLHF: A comprehensive Survey for Cultural, Multimodal and Low Latency Alignment Methods
  Reinforcement Learning from Human Feedback (RLHF) is the standard for aligning Large Language Models (LLMs), yet recent progress has moved beyond canonical text-based methods. This survey synthesizes the new frontier of alignment research by addressing critica…
  arxiv Raghav Sharma, Manan Mehta, Sai Tiger Raina 2025-11-06T00:35:17Z 置信度 0.78 cs.LGcs.AIcs.CL
• Defining neurosymbolic AI
  Neurosymbolic AI focuses on integrating learning and reasoning, in particular, on unifying logical and neural representations. Despite the existence of an alphabet soup of neurosymbolic AI systems, the field is lacking a generally accepted formal definition of…
  arxiv Lennert De Smet, Luc De Raedt 2025-07-15T09:23:22Z 置信度 0.78 cs.AI
• Reversing the Paradigm: Building AI-First Systems with Human Guidance
  The relationship between humans and artificial intelligence is no longer science fiction -- it's a growing reality reshaping how we live and work. AI has moved beyond research labs into everyday life, powering customer service chats, personalizing travel, aidi…
  arxiv Cosimo Spera, Garima Agrawal 2025-06-13T21:48:44Z 置信度 0.78 cs.AI
• Possible Principles for Aligned Structure Learning Agents
  This paper offers a roadmap for the development of scalable aligned artificial intelligence (AI) from first principle descriptions of natural intelligence. In brief, a possible path toward scalable aligned AI rests upon enabling artificial agents to learn a go…
  arxiv Lancelot Da Costa, Tomáš Gavenčiak, David Hyland, Mandana Samiei 等 2024-09-30T22:06:06Z 置信度 0.78 cs.AIq-bio.NC
• On the usability of generative AI: Human generative AI
  Generative AI systems are transforming content creation, but their usability remains a key challenge. This paper examines usability factors such as user experience, transparency, control, and cognitive load. Common challenges include unpredictability and diffi…
  arxiv Anna Ravera, Cristina Gena 2025-02-24T23:13:59Z 置信度 0.78 cs.HCcs.AI
• When Should an AI Act? A Human-Centered Model of Scene, Context, and Behavior for Agentic AI Design
  Agentic AI increasingly intervenes proactively by inferring users' situations from contextual data yet often fails for lack of principled judgment about when, why, and whether to act. We address this gap by proposing a conceptual model that reframes behavior a…
  arxiv Soyoung Jung, Daehoo Yoon, Sung Gyu Koh, Young Hwan Kim 等 2026-02-26T09:56:37Z 置信度 0.78 cs.AIcs.HC
• High-frequency gravitational waves from first-order phase transitions
  First-order phase transitions in the early Universe are a well-motivated source of gravitational waves (GWs). In this Letter, we identify a previously overlooked GW production mechanism: gravitational transition radiation, arising from graviton emission by par…
  arxiv Wen-Yuan Ai 2025-08-04T18:05:37Z 置信度 0.78 hep-phastro-ph.COgr-qchep-th
• Nonparametric Curve Alignment
  Congealing is a flexible nonparametric data-driven framework for the joint alignment of data. It has been successfully applied to the joint alignment of binary images of digits, binary images of object silhouettes, grayscale MRI images, color images of cars an…
  arxiv Marwan Mattar, Michael Ross, Erik Learned-Miller 2019-02-02T02:29:24Z 置信度 0.78 cs.LGcs.CVstat.ML
• AI Risk-Management Standards Profile for General-Purpose AI (GPAI) and Foundation Models
  Increasingly multi-purpose AI models, such as cutting-edge large language models or other 'general-purpose AI' (GPAI) models, 'foundation models,' generative AI models, and 'frontier models' (typically all referred to hereafter with the umbrella term 'GPAI/fou…
  arxiv Anthony M. Barrett, Jessica Newman, Brandie Nonnecke, Nada Madkour 等 2025-06-30T15:18:18Z 置信度 0.78 cs.AIcs.CRcs.CY
• Spectral Alignment of Graphs
  Graph alignment refers to the problem of finding a bijective mapping across vertices of two graphs such that, if two nodes are connected in the first graph, their images are connected in the second graph. This problem arises in many fields such as computationa…
  arxiv Soheil Feizi, Gerald Quon, Mariana Recamonde-Mendoza, Muriel Medard 等 2016-02-12T19:38:33Z 置信度 0.78 cs.DScs.DMmath.CO
• How Much AI Is in This Track? Quantifying the Proportion of AI-Generated Stems in Hybrid Music Mixtures
  AI-generated music is increasingly used at the stem level, with producers integrating synthetic drums, basslines, or vocals alongside human-performed instruments. However, current AI music detection systems are binary, treating tracks as either fully AI or ful…
  arxiv Fernando Garcia de la Cruz, David López-Ayala, Pablo Zinemanas, Emilio Molina 等 2026-08-07T14:46:06Z 置信度 0.78 eess.AScs.AIeess.SP
• Supporting Students' Reading and Cognition with AI
  With the rapid adoption of AI tools in learning contexts, it is vital to understand how these systems shape users' reading processes and cognitive engagement. We collected and analyzed text from 124 sessions with AI tools, in which students used these tools to…
  arxiv Yue Fu, Alexis Hiniker 2025-04-07T17:51:27Z 置信度 0.78 cs.HCcs.AIcs.CY
• AI Finds A Way
  Artificial Intelligence (AI) algorithms frequently learn creative and unexpected solutions, surprising even expert researchers who develop and study them. They often astonish practitioners by discovering unanticipated behavior, exploiting loopholes in reward s…
  arxiv Aaron Dharna, Cong Lu, Ryan Sullivan, Joel Lehman 等 2026-08-24T22:29:38Z 置信度 0.78 cs.AI
• UltraFeedback: Boosting Language Models with Scaled AI Feedback
  Learning from human feedback has become a pivot technique in aligning large language models (LLMs) with human preferences. However, acquiring vast and premium human feedback is bottlenecked by time, labor, and human capability, resulting in small sizes or limi…
  arxiv Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao 等 2023-10-02T17:40:01Z 置信度 0.78 cs.CLcs.AIcs.LG
• Interacting with AI Reasoning Models: Harnessing "Thoughts" for AI-Driven Software Engineering
  Recent advances in AI reasoning models provide unprecedented transparency into their decision-making processes, transforming them from traditional black-box systems into models that articulate step-by-step chains of thought rather than producing opaque outputs…
  arxiv Christoph Treude, Raula Gaikovina Kula 2025-03-01T13:19:15Z 置信度 0.78 cs.SEcs.AIcs.HC
• AI Maintenance: A Robustness Perspective
  With the advancements in machine learning (ML) methods and compute resources, artificial intelligence (AI) empowered systems are becoming a prevailing technology. However, current AI technology such as deep learning is not flawless. The significantly increased…
  arxiv Pin-Yu Chen, Payel Das 2023-01-08T15:02:38Z 置信度 0.78 cs.LGcs.AIcs.CY
• Catalog of General Ethical Requirements for AI Certification
  This whitepaper offers normative and practical guidance for developers of artificial intelligence (AI) systems to achieve "Trustworthy AI". In it, we present overall ethical requirements and six ethical principles with value-specific recommendations for tools …
  arxiv Nicholas Kluge Corrêa, Julia Maria Mönig 2024-08-22T10:58:41Z 置信度 0.78 cs.CY
• Infrastructuring Contestability: A Framework for Community-Defined AI Value Pluralism
  The proliferation of AI-driven systems presents a fundamental challenge to Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW), often diminishing user agency and failing to account for value pluralism. Current approaches to value al…
  arxiv Andreas Mayer 2025-07-07T16:45:50Z 置信度 0.78 cs.HCcs.AI
• When galaxies align: intrinsic alignments of the progenitors of elliptical galaxies in the Horizon-AGN simulation
  Elliptical galaxies today appear aligned with the large-scale structure of the Universe, but it is still an open question when they acquire this alignment. Observational data is currently insufficient to provide constraints on the time evolution of intrinsic a…
  arxiv James Bate, Nora Elisa Chisari, Sandrine Codis, Garreth Martin 等 2019-11-11T12:33:18Z 置信度 0.78 astro-ph.COastro-ph.GA
• How Designers Envision Value-Oriented AI Design Concepts with Generative AI
  As AI integrates into design practice, designers increasingly use generative AI tools to envision AI-enabled solutions, positioning AI as both design tool and design material. This dual role creates recursive value tensions distinct from traditional design wor…
  arxiv Pitch Sinlapanuntakul, Aayushi Dangol, Xiaoyi Xue, Mark Zachry 2026-04-30T22:42:24Z 置信度 0.78 cs.HC
• Legible Normativity for AI Alignment: The Value of Silly Rules
  It has become commonplace to assert that autonomous agents will have to be built to follow human rules of behavior--social norms and laws. But human laws and norms are complex and culturally varied systems, in many cases agents will have to learn the rules. Th…
  arxiv Dylan Hadfield-Menell, McKane Andrus, Gillian K. Hadfield 2018-11-03T19:09:18Z 置信度 0.78 cs.AIcs.CYcs.HC
• AI Companions Reduce Loneliness
  Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications ar…
  arxiv Julian De Freitas, Ahmet K Uguralp, Zeliha O Uguralp, Puntoni Stefano 2024-07-09T15:04:08Z 置信度 0.78 cs.CYcs.AI
• EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AI
  The deployment of large language models (LLMs) in mental health and other sensitive domains raises urgent questions about ethical reasoning, fairness, and responsible alignment. Yet, existing benchmarks for moral and clinical decision-making do not adequately …
  arxiv Sai Kartheek Reddy Kasu 2025-09-15T07:35:35Z 置信度 0.78 cs.CLcs.AIcs.CY
• Towards a Roadmap on Software Engineering for Responsible AI
  Although AI is transforming the world, there are serious concerns about its ability to behave and make decisions responsibly. Many ethical regulations, principles, and frameworks for responsible AI have been issued recently. However, they are high level and di…
  arxiv Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle 等 2022-03-09T07:01:32Z 置信度 0.78 cs.SEcs.AI
• Deciphering the AI Economy: A Mathematical Model Perspective
  The economy in the modern world is greatly influenced by artificial intelligence (AI). This paper aims to determine the impact of AI quantitative relationships on the country's economic parameters, including GDP per Capita. Historical data analysis is used in …
  arxiv Davit Gondauri 2025-05-17T12:58:47Z 置信度 0.78 econ.GN
• The Role of AI Safety Institutes in Contributing to International Standards for Frontier AI Safety
  International standards are crucial for ensuring that frontier AI systems are developed and deployed safely around the world. Since the AI Safety Institutes (AISIs) possess in-house technical expertise, mandate for international engagement, and convening power…
  arxiv Kristina Fort 2024-09-17T16:12:54Z 置信度 0.78 cs.CY
• A note on the novel 4D Einstein-Gauss-Bonnet gravity
  Recently, a novel 4D Einstein-Gauss-Bonnet gravity has been proposed by Glavan and Lin [Phys. Rev. Lett. 124, 081301 (2020)] by rescaling the coupling $α\rightarrow α/(D-4)$ and taking the limit $D\rightarrow 4$ at the level of equations of motion. This prescr…
  arxiv Wen-Yuan Ai 2020-04-06T17:49:24Z 置信度 0.78 gr-qchep-th
• Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks
  Can AI effectively perform complex econometric analysis traditionally requiring human expertise? This paper evaluates AI agents' capability to master econometrics, focusing on empirical analysis performance. We develop ``MetricsAI'', an Econometrics AI Agent b…
  arxiv Qiang Chen, Tianyang Han, Jin Li, Ye Luo 等 2025-06-01T06:34:42Z 置信度 0.78 econ.EMcs.AI
• Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
  Aligning large language models (LLMs) with human values and intents critically involves the use of human or AI feedback. While dense feedback annotations are expensive to acquire and integrate, sparse feedback presents a structural design choice between rating…
  arxiv Hritik Bansal, John Dang, Aditya Grover 2023-08-30T07:35:32Z 置信度 0.78 cs.LGcs.AIcs.CL
• Everyday AR through AI-in-the-Loop
  This workshop brings together experts and practitioners from augmented reality (AR) and artificial intelligence (AI) to shape the future of AI-in-the-loop everyday AR experiences. With recent advancements in both AR hardware and AI capabilities, we envision th…
  arxiv Ryo Suzuki, Mar Gonzalez-Franco, Misha Sra, David Lindlbauer 2024-12-17T08:51:55Z 置信度 0.78 cs.HCcs.AIcs.LG
• Agentic AI and the Cyber Arms Race
  Agentic AI is shifting the cybersecurity landscape as attackers and defenders leverage AI agents to augment humans and automate common tasks. In this article, we examine the implications for cyber warfare and global politics as Agentic AI becomes more powerful…
  arxiv Sean Oesch, Jack Hutchins, Phillipe Austria, Amul Chaulagain 2025-02-10T16:06:29Z 置信度 0.78 cs.CYcs.AI
• GovAI-Pipe: A Layered AI Governance Pipeline for Citizen-Facing AI in Turkey's e-Government Gateway
  Turkey's e-Government Gateway (e-Devlet) serves over 68 million registered users with more than 9,200 government services, and is increasingly integrating artificial intelligence into citizen-facing applications such as chatbot assistants and eligibility asses…
  arxiv Ahmet Kaplan 2026-05-31T19:28:17Z 置信度 0.78 cs.AI
• Human Misperception of Generative-AI Alignment: A Laboratory Experiment
  We conduct an incentivized laboratory experiment to study people's perception of generative artificial intelligence (GenAI) alignment in the context of economic decision-making. Using a panel of economic problems spanning the domains of risk, time preference, …
  arxiv Kevin He, Ran Shorrer, Mengjia Xia 2025-02-20T16:32:42Z 置信度 0.78 econ.THcs.AIcs.GT
• Human-AI interaction: An emerging interdisciplinary domain for enabling human-centered AI
  The new characteristics of AI technology have brought new challenges to the research and development of AI systems. AI technology has benefited humans, but if improperly developed, it will harm humans. At present, there is no systematic interdisciplinary appro…
  arxiv Wei Xu, Liezhong Ge, Zaifeng Gao 2021-10-29T22:20:57Z 置信度 0.78 cs.HC
• Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training
  Vision-language model-based mobile agents have gained the ability to understand complex instructions and mobile screenshots, benefiting from reinforcement learning paradigms like Group Relative Policy Optimization (GRPO). However, existing approaches centers o…
  arxiv Jihao Gu, Qihang Ai, Yingyao Wang, Pi Bu 等 2025-06-25T11:34:43Z 置信度 0.78 cs.AI
• Advancing Science- and Evidence-based AI Policy
  AI policy should advance AI innovation by ensuring that its potential benefits are responsibly realized and widely shared. To achieve this, AI policymaking should place a premium on evidence: Scientific understanding and systematic analysis should inform polic…
  arxiv Rishi Bommasani, Sanjeev Arora, Jennifer Chayes, Yejin Choi 等 2025-08-02T23:20:58Z 置信度 0.78 cs.CY
• Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks
  Understanding how neural networks align with human cognitive processes is a crucial step toward developing more interpretable and reliable AI systems. Motivated by theories of human cognition, this study examines the relationship between \emph{convexity} in ne…
  arxiv Teresa Dorszewski, Lenka Tětková, Lorenz Linhardt, Lars Kai Hansen 2024-09-10T09:32:16Z 置信度 0.78 cs.LGcs.AI
• The AI Collaborator: Bridging Human-AI Interaction in Educational and Professional Settings
  AI Collaborator, powered by OpenAI's GPT-4, is a groundbreaking tool designed for human-AI collaboration research. Its standout feature is the ability for researchers to create customized AI personas for diverse experimental setups using a user-friendly interf…
  arxiv Mohammad Amin Samadi, Spencer JaQuay, Jing Gu, Nia Nixon 2024-05-16T22:14:54Z 置信度 0.78 cs.HCcs.AI
• The dispersion generalized Benjamin-Ono equation
  We consider the well-posedness of the family of dispersion generalized Benjamin-Ono equations. Earlier work of Herr-Ionescu-Kenig-Koch established well-posedness with data in $L^2$, by using a discretized gauge transform in the setting of Bourgain spaces. In t…
  arxiv Albert Ai, Grace Liu 2024-07-01T17:04:20Z 置信度 0.78 math.AP
• A Linear Lower Bound for Dominating Sets in $k$-Majority Tournaments
  A $k$-majority tournament on a finite vertex set is defined by $2k-1$ linear orders, with $u\to v$ when $u$ lies above $v$ in at least $k$ of the orders. Let $F(k)$ be the maximum, over all $k$-majority tournaments, of the size of a minimum dominating set. Alo…
  arxiv Jiangdong Ai, Xiangjie Yi 2026-07-25T10:58:54Z 置信度 0.78 math.CO
• AI for CSI Feedback Enhancement in 5G-Advanced
  The 3rd Generation Partnership Project started the study of Release 18 in 2021. Artificial intelligence (AI)-native air interface is one of the key features of Release 18, where AI for channel state information (CSI) feedback enhancement is selected as the rep…
  arxiv Jiajia Guo, Chao-Kai Wen, Shi Jin, Xiao Li 2022-06-30T08:52:43Z 置信度 0.78 cs.ITcs.AIcs.NIeess.SP