AI 安全与对齐 · 全部实体（第 58 / 100 页）

本页收录第 5701–5800 条，共 10000 条 · 返回 AI 安全与对齐 首页

• Responsible AI in the Software Industry: A Practitioner-Centered Perspective
  Responsible AI principles provide ethical guidelines for developing AI systems, yet their practical implementation in software engineering lacks thorough investigation. Therefore, this study explores the practices and challenges faced by software practitioners…
  arxiv Matheus de Morais Leça, Mariana Bento, Ronnie de Souza Santos 2024-12-10T15:57:13Z 置信度 0.78 cs.SE
• FM-index of Alignment with Gaps
  Recently, a compressed index for similar strings, called the FM-index of alignment (FMA), has been proposed with the functionalities of pattern search and random access. The FMA is quite efficient in space requirement and pattern search time, but it is applica…
  arxiv Joong Chae Na, Hyunjoon Kim, Seunghwan Min, Heejin Park 等 2016-06-13T11:23:45Z 置信度 0.78 cs.DS
• AI Alignment Amplifies the Role of Race, Gender, and Disability in Hiring Decisions
  Humans increasingly delegate consequential decisions to language models, yet whether these systems reproduce or reshape human patterns of discrimination remains unclear. Here, across 29 models and 177 occupations covering nearly half of U.S. employment, we sho…
  arxiv Ze Wang, Guobin Shen, Michael Thaler 2026-05-02T16:08:07Z 置信度 0.78 cs.CYecon.GN
• Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making
  As AI systems increasingly mediate decisions in domains such as credit scoring and financial forecasting, their lack of transparency and bias raises critical concerns for fairness and public trust. Existing explainable AI (XAI) approaches largely serve develop…
  arxiv Kausik Lakkaraju, Siva Likitha Valluru, Biplav Srivastava 2025-08-07T19:06:08Z 置信度 0.78 cs.AI
• Slicing-Based AI Service Provisioning on Network Edge
  Edge intelligence leverages computing resources on network edge to provide artificial intelligence (AI) services close to network users. As it enables fast inference and distributed learning, edge intelligence is envisioned to be an important component of 6G n…
  arxiv Mushu Li, Jie Gao, Conghao Zhou, Xuemin 等 2021-05-14T19:52:35Z 置信度 0.78 cs.NIeess.SY
• Responsible AI in the Global Context: Maturity Model and Survey
  Responsible AI (RAI) has emerged as a major focus across industry, policymaking, and academia, aiming to mitigate the risks and maximize the benefits of AI, both on an organizational and societal level. This study explores the global state of RAI through one o…
  arxiv Anka Reuel, Patrick Connolly, Kiana Jafari Meimandi, Shekhar Tewari 等 2024-10-13T20:04:32Z 置信度 0.78 cs.CY
• What Is AI Safety? What Do We Want It to Be?
  The field of AI safety seeks to prevent or reduce the harms caused by AI systems. A simple and appealing account of what is distinctive of AI safety as a field holds that this feature is constitutive: a research project falls within the purview of AI safety ju…
  arxiv Jacqueline Harding, Cameron Domenico Kirk-Giannini 2025-05-05T01:55:00Z 置信度 0.78 cs.CYcs.AI
• Landscape of AI safety concerns -- A methodology to support safety assurance for AI-based autonomous systems
  Artificial Intelligence (AI) has emerged as a key technology, driving advancements across a range of applications. Its integration into modern autonomous systems requires assuring safety. However, the challenge of assuring safety in systems that incorporate AI…
  arxiv Ronald Schnitzer, Lennart Kilian, Simon Roessner, Konstantinos Theodorou 等 2024-12-18T16:38:16Z 置信度 0.78 cs.LGcs.AI
• Understanding Security and Privacy Perceptions of Content Creators Regarding AI Labels of AI-Generated Content
  AI labels, typically implemented via underlying tracing mechanisms such as watermarks and metadata, are crucial for protecting Artificial Intelligence-Generated Content (AIGC) against security threats like disinformation and evasion. However, the perceived dev…
  arxiv Shuning Zhang, Hui Wang, Rongjun Ma, Xin Yi 等 2026-08-08T13:32:44Z 置信度 0.78 cs.HC
• Origin Lens: A Privacy-First Mobile Framework for Cryptographic Image Provenance and AI Detection
  The proliferation of generative AI poses challenges for information integrity assurance, requiring systems that connect model governance with end-user verification. We present Origin Lens, a privacy-first mobile framework that targets visual disinformation thr…
  arxiv Alexander Loth, Dominique Conceicao Rosario, Peter Ebinger, Martin Kappes 等 2026-02-03T11:49:00Z 置信度 0.78 cs.CRcs.CVcs.CYcs.HC
• Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks
  Embodied AI is a rapidly advancing field that bridges the gap between cyberspace and physical space, enabling a wide range of applications. This evolution has led to the development of the Vehicular Embodied AI NETwork (VEANET), where advanced AI capabilities …
  arxiv Yue Zhong, Jiawen Kang, Jinbo Wen, Dongdong Ye 等 2024-10-02T02:20:42Z 置信度 0.78 cs.AI
• LLMAID: Identifying AI Capabilities in Android Apps with LLMs
  Recent advancements in artificial intelligence (AI) and its widespread integration into mobile software applications have received significant attention, highlighting the growing prominence of AI capabilities in modern software systems. However, the inherent h…
  arxiv Pei Liu, Terry Zhuo, Jiawei Deng, Thong James 等 2025-11-24T12:54:20Z 置信度 0.78 cs.SE
• Foundations for Risk Assessment of AI in Protecting Fundamental Rights
  This chapter introduces a conceptual framework for qualitative risk assessment of AI, particularly in the context of the EU AI Act. The framework addresses the complexities of legal compliance and fundamental rights protection by itegrating definitional balanc…
  arxiv Antonino Rotolo, Beatrice Ferrigno, Jose Miguel Angel Garcia Godinez, Claudio Novelli 等 2025-07-24T10:52:22Z 置信度 0.78 cs.AI
• AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments
  The accelerating adoption of large language models, retrieval-augmented generation pipelines, and multi-agent AI workflows has created a structural governance crisis. Organizations cannot govern what they cannot see, and existing compliance methodologies built…
  arxiv Eranga Bandara, Asanga Gunaratna, Ross Gore, Abdul Rahman 等 2026-04-06T15:14:10Z 置信度 0.78 cs.AI
• CrabOS: An Operating System for Human-AI Co-inhabitation
  AI agents are evolving into long-running computational entities that can invoke tools, maintain memory, and complete complex tasks across applications. In real-world settings, completing a task often requires humans and AI to take turns leading its execution. …
  arxiv Qi Yang, Yun Ma 2026-08-28T10:28:54Z 置信度 0.78 cs.AIcs.HCcs.OS
• Academic journals' AI policies fail to curb the surge in AI-assisted academic writing
  The rapid integration of generative AI into academic writing has prompted widespread policy responses from journals and publishers. However, the effectiveness of these policies remains unclear. Here, we analyze 5,114 journals and over 5.2 million papers to eva…
  arxiv Yongyuan He, Yi Bu 2025-12-07T07:30:53Z 置信度 0.78 cs.AI
• A Framework for Measuring Appropriate Reliance on Set-Valued AI Advice
  Appropriate reliance on AI advice has become a central research theme in human-AI collaboration. Existing frameworks have focused exclusively on point predictions as AI advice. However, set-valued AI advice (e.g., discrete sets or continuous intervals) is incr…
  arxiv Ranjan Mishra, Jakob Schoeffer 2026-06-04T12:17:42Z 置信度 0.78 cs.AIcs.HC
• Maestro: A Gamified Platform for Teaching AI Robustness
  Although the prevention of AI vulnerabilities is critical to preserve the safety and privacy of users and businesses, educational tools for robust AI are still underdeveloped worldwide. We present the design, implementation, and assessment of Maestro. Maestro …
  arxiv Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang 等 2023-06-14T04:35:56Z 置信度 0.78 cs.HCcs.AI
• The Case for an Industrial Policy Approach to AI Sector of Pakistan for Growth and Autonomy
  This paper argues for the strategic treatment of artificial intelligence as a key industry within broader industrial policy framework of Pakistan, underscoring the importance of aligning it with national goals such as economic resilience and preservation of au…
  arxiv Atif Hussain, Rana Rizwan 2024-11-02T18:41:17Z 置信度 0.78 cs.CY
• AI Debate Aids Assessment of Controversial Claims
  As AI grows more powerful, it will increasingly shape how we understand the world. But with this influence comes the risk of amplifying misinformation and deepening social divides-especially on consequential topics where factual accuracy directly impacts well-…
  arxiv Salman Rahman, Sheriff Issaka, Ashima Suvarna, Genglin Liu 等 2025-06-02T19:01:53Z 置信度 0.78 cs.CL
• Reconfiguring Participatory Design to Resist AI Realism
  The growing trend of artificial intelligence (AI) as a solution to social and technical problems reinforces AI Realism -- the belief that AI is an inevitable and natural order. In response, this paper argues that participatory design (PD), with its focus on de…
  arxiv Aakash Gautam 2024-06-05T13:21:46Z 置信度 0.78 cs.HCcs.AIcs.SI
• AI Agent Communications in AI-Native 6G Network: Status, Challenges and Opportunities
  The rapid development of agentic AI and multi-agent systems is establishing AI agent communication as a fundamental requirement for the future Internet. While a diverse array of agent communication protocols has recently emerged, these solutions currently suff…
  arxiv Qiang Duan 2026-07-20T16:30:08Z 置信度 0.78 cs.NI
• Statistical Methods in Generative AI
  Generative Artificial Intelligence is emerging as an important technology, promising to be transformative in many areas. At the same time, generative AI techniques are based on sampling from probabilistic models, and by default, they come with no guarantees ab…
  arxiv Edgar Dobriban 2025-09-08T17:42:59Z 置信度 0.78 cs.AIcs.LGstat.ME
• Generative AI for Vision: A Comprehensive Study of Frameworks and Applications
  Generative AI is transforming image synthesis, enabling the creation of high-quality, diverse, and photorealistic visuals across industries like design, media, healthcare, and autonomous systems. Advances in techniques such as image-to-image translation, text-…
  arxiv Fouad Bousetouane 2025-01-29T22:42:05Z 置信度 0.78 cs.CV
• Navigating the sociotechnical labyrinth: Dynamic certification for responsible embodied AI
  Sociotechnical requirements shape the governance of artificially intelligent (AI) systems. In an era where embodied AI technologies are rapidly reshaping various facets of contemporary society, their inherent dynamic adaptability presents a unique blend of opp…
  arxiv Georgios Bakirtzis, Andrea Aler Tubella, Andreas Theodorou, David Danks 等 2024-08-16T08:35:26Z 置信度 0.78 cs.CYcs.AIeess.SY
• Artificial Influence: An Analysis Of AI-Driven Persuasion
  Persuasion is a key aspect of what it means to be human, and is central to business, politics, and other endeavors. Advancements in artificial intelligence (AI) have produced AI systems that are capable of persuading humans to buy products, watch videos, click…
  arxiv Matthew Burtell, Thomas Woodside 2023-03-15T16:05:11Z 置信度 0.78 cs.CYcs.AIcs.CLcs.LG
• Decentralized Technologies for AI Hubs
  AI requires heavy amounts of storage and compute with assets that are commonly stored in AI Hubs. AI Hubs have contributed significantly to the democratization of AI. However, existing implementations are associated with certain benefits and limitations that s…
  arxiv Richard Blythman, Mohamed Arshath, Salvatore Vivona, Jakub Smékal 等 2023-06-07T09:18:56Z 置信度 0.78 cs.AI
• Towards a Privacy and Security-Aware Framework for Ethical AI: Guiding the Development and Assessment of AI Systems
  As artificial intelligence continues its unprecedented global expansion, accompanied by a proliferation of benefits, an increasing apprehension about the privacy and security implications of AI-enabled systems emerges. The pivotal question of effectively contr…
  arxiv Daria Korobenko, Anastasija Nikiforova, Rajesh Sharma 2024-03-13T15:39:57Z 置信度 0.78 cs.CY
• Trustworthy Agentic AI Requires Deterministic Architectural Boundaries
  Current agentic AI architectures are fundamentally incompatible with the security and epistemological requirements of high-stakes scientific workflows. The problem is not inadequate alignment or insufficient guardrails, it is architectural: autoregressive lang…
  arxiv Manish Bhattarai, Minh Vu 2026-02-10T16:33:40Z 置信度 0.78 cs.CR
• Governing AI Agents
  The field of AI is undergoing a fundamental transition from generative models that can produce synthetic content to artificial agents that can plan and execute complex tasks with only limited human involvement. Companies that pioneered the development of langu…
  arxiv Noam Kolt 2025-01-14T07:55:18Z 置信度 0.78 cs.AI
• AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow
  The sustainability of AI systems depends on the capacity of project teams to proceed with a continuous sensitivity to their potential real-world impacts and transformative effects. Stakeholder Impact Assessments (SIAs) are governance mechanisms that enable thi…
  arxiv David Leslie, Cami Rincon, Morgan Briggs, Antonella Perini 等 2024-02-19T22:58:05Z 置信度 0.78 cs.CYcs.AIcs.HC
• Strategic Insights from Simulation Gaming of AI Race Dynamics
  We present insights from "Intelligence Rising", a scenario exploration exercise about possible AI futures. Drawing on the experiences of facilitators who have overseen 43 games over a four-year period, we illuminate recurring patterns, strategies, and decision…
  arxiv Ross Gruetzemacher, Shahar Avin, James Fox, Alexander K Saeri 2024-10-04T02:34:21Z 置信度 0.78 cs.CYcs.AI
• "Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?
  AI has surpassed humans across a variety of tasks such as image classification, playing games (e.g., go, "Starcraft" and poker), and protein structure prediction. However, at the same time, AI is also bearing serious controversies. Many researchers argue that …
  arxiv Bin Liu 2021-03-29T02:57:48Z 置信度 0.78 cs.AI
• AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps
  Artificial intelligence (AI) ethics has emerged as a burgeoning yet pivotal area of scholarly research. This study conducts a comprehensive bibliometric analysis of the AI ethics literature over the past two decades. The analysis reveals a discernible triparti…
  arxiv Di Kevin Gao, Andrew Haverly, Sudip Mittal, Jiming Wu 等 2024-03-12T21:43:21Z 置信度 0.78 cs.CYcs.AI
• Identifying and Prioritizing Generative AI Use Cases in an Organization: An Industrial Case Study
  Organisations are examining how generative AI can support their operational work and decision-making processes. This study investigates how employees in a energy company understand AI adoption and identify areas where AI and LLMs-based agentic workflows could …
  arxiv Malik Abdul Sami, Zeeshan Rasheed, Meri Olenius, Muhammad Waseem 等 2026-02-10T14:50:26Z 置信度 0.78 cs.SEcs.CY
• The Alignment Trap: Complexity Barriers
  This paper argues that AI alignment is not merely difficult, but is founded on a fundamental logical contradiction. We first establish The Enumeration Paradox: we use machine learning precisely because we cannot enumerate all necessary safety rules, yet making…
  arxiv Jasper Yao 2025-06-12T02:30:30Z 置信度 0.78 cs.AIcs.CCcs.CYcs.LG
• Towards Clinical AI Fairness: Filling Gaps in the Puzzle
  The ethical integration of Artificial Intelligence (AI) in healthcare necessitates addressing fairness-a concept that is highly context-specific across medical fields. Extensive studies have been conducted to expand the technical components of AI fairness, whi…
  arxiv Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu 等 2024-05-28T07:42:55Z 置信度 0.78 cs.AIcs.CY
• Metis AI: The Overlooked Middle Zone Between AI-Native and World-Movers
  The dominant discourse on AI limitations frames the boundary of AI capability as a divide between digital tasks (where AI excels) and physical tasks (where embodiment is required). We argue this framing misses the most consequential boundary: the one within di…
  arxiv Xiang Li 2026-05-14T05:47:07Z 置信度 0.78 cs.AI
• Attribution and Persuasion: The Paradox of Interpretable AI
  This paper studies AI persuasion by distinguishing between two reasons for disagreement: attention differences, where the AI detects features the decision-maker missed, and comprehension differences, where the AI and the decision-maker interpret observed featu…
  arxiv Hanzhe Li, Jin Li, Ye Luo, Xiaowei Zhang 2024-10-01T22:50:20Z 置信度 0.78 econ.GN
• Lessons from complexity theory for AI governance
  The study of complex adaptive systems, pioneered in physics, biology, and the social sciences, offers important lessons for AI governance. Contemporary AI systems and the environments in which they operate exhibit many of the properties characteristic of compl…
  arxiv Noam Kolt, Michal Shur-Ofry, Reuven Cohen 2025-01-07T07:56:40Z 置信度 0.78 cs.CY
• Embedding Explainable AI in NHS Clinical Safety: The Explainability-Enabled Clinical Safety Framework (ECSF)
  Artificial intelligence (AI) is increasingly embedded in NHS workflows, but its probabilistic and adaptive behaviour conflicts with the deterministic assumptions underpinning existing clinical-safety standards. DCB0129 and DCB0160 provide strong governance for…
  arxiv Robert Gigiu 2025-10-24T07:36:58Z 置信度 0.78 cs.CYcs.AIcs.HC
• Self-evolving Embodied AI
  Embodied Artificial Intelligence (AI) is an intelligent system formed by agents and their environment through active perception, embodied cognition, and action interaction. Existing embodied AI remains confined to human-crafted setting, in which agents are tra…
  arxiv Tongtong Feng, Xin Wang, Wenwu Zhu 2026-02-04T10:40:34Z 置信度 0.78 cs.ETcs.CV
• AI Benchmarks and Datasets for LLM Evaluation
  LLMs demand significant computational resources for both pre-training and fine-tuning, requiring distributed computing capabilities due to their large model sizes \cite{sastry2024computing}. Their complex architecture poses challenges throughout the entire AI …
  arxiv Todor Ivanov, Valeri Penchev 2024-12-02T00:38:57Z 置信度 0.78 cs.DCcs.AI
• Combining Cognitive and Generative AI for Self-explanation in Interactive AI Agents
  The Virtual Experimental Research Assistant (VERA) is an inquiry-based learning environment that empowers a learner to build conceptual models of complex ecological systems and experiment with agent-based simulations of the models. This study investigates the …
  arxiv Shalini Sushri, Rahul Dass, Rhea Basappa, Hong Lu 等 2024-07-25T18:46:11Z 置信度 0.78 cs.AI
• Ensemble Debates with Local Large Language Models for AI Alignment
  As large language models (LLMs) take on greater roles in high-stakes decisions, alignment with human values is essential. Reliance on proprietary APIs limits reproducibility and broad participation. We study whether local open-source ensemble debates can impro…
  arxiv Ephraiem Sarabamoun 2025-08-27T13:25:51Z 置信度 0.78 cs.AIcs.CL
• Refinements of Alon-Babai-Suzuki-type intersection theorems via non-shadows and binomial support
  We prove a multilevel non-shadow refinement of the Alon--Babai--Suzuki (ABS) nonuniform restricted-intersection theorem. Let $K=\{k_1,\dots,k_r\}$ and let $L$ be a set with $|L|=s$. If $\mathcal{F}\subseteq \bigcup_{k\in K}\binom{[n]}{k}$ is $L$-intersecting a…
  arxiv Jiangdong Ai, Mingyu Liu 2026-03-11T01:11:37Z 置信度 0.78 math.CO
• The relationship between professional and general ethics in generative AI
  Recent years have seen a growing discrepancy in the field of AI alignment: research and policy recommendations on AI ethics tend to assume a general set of ethical values, yet proliferating practice-specific uses of AI systems on the ground - in the legal, med…
  arxiv Omri Asscher, Mirco Musolesi 2026-08-29T14:46:27Z 置信度 0.78 cs.CY
• ForesightSafety Bench: A Frontier Risk Evaluation and Governance Framework towards Safe AI
  Rapidly evolving AI exhibits increasingly strong autonomy and goal-directed capabilities, accompanied by derivative systemic risks that are more unpredictable, difficult to control, and potentially irreversible. However, current AI safety evaluation systems su…
  arxiv Haibo Tong, Feifei Zhao, Linghao Feng, Ruoyu Wu 等 2026-02-15T13:12:44Z 置信度 0.78 cs.AIcs.CRcs.CY
• Evaluating the Effects of AI Directors for Quest Selection
  Modern commercial games are designed for mass appeal, not for individual players, but there is a unique opportunity in video games to better fit the individual through adapting game elements. In this paper, we focus on AI Directors, systems which can dynamical…
  arxiv Kristen K. Yu, Matthew Guzdial, Nathan Sturtevant 2024-09-30T18:16:38Z 置信度 0.78 cs.HCcs.AI
• AI Failures: A Review of Underlying Issues
  Instances of Artificial Intelligence (AI) systems failing to deliver consistent, satisfactory performance are legion. We investigate why AI failures occur. We address only a narrow subset of the broader field of AI Safety. We focus on AI failures on account of…
  arxiv Debarag Narayan Banerjee, Sasanka Sekhar Chanda 2020-07-18T15:31:29Z 置信度 0.78 cs.CYcs.AI
• AI Workers, Geopolitics, and Algorithmic Collective Action
  According to the theory of International Political Economy (IPE), states are often incentivized to rely on rather than constrain powerful corporations. For this reason, IPE provides a useful lens to explain why efforts to govern Artificial Intelligence (AI) at…
  arxiv Sydney Reis 2025-11-21T15:52:44Z 置信度 0.78 cs.CYcs.AIcs.HC
• Closing the AI Knowledge Gap
  AI researchers employ not only the scientific method, but also methodology from mathematics and engineering. However, the use of the scientific method - specifically hypothesis testing - in AI is typically conducted in service of engineering objectives. Growin…
  arxiv Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey 等 2018-03-20T03:16:10Z 置信度 0.78 cs.CYcs.AI
• Future of Edge AI in biodiversity monitoring
  1. Many ecological decisions are slowed by the gap between collecting and analysing biodiversity data. Edge computing moves processing closer to the sensor, with edge artificial intelligence (AI) enabling on-device inference, reducing reliance on data transfer…
  arxiv Aude Vuilliomenet, Kate E. Jones, Duncan Wilson 2026-02-13T22:03:33Z 置信度 0.78 cs.CYcs.AI
• Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act
  Technical and legal debates frequently suggest that "accuracy" is an objective, measurable, and purely technical property. We challenge this view, showing that evaluating AI performance fundamentally depends on context-dependent normative decisions. These tech…
  arxiv Lucas G. Uberti-Bona Marin, Bram Rijsbosch, Kristof Meding, Gerasimos Spanakis 等 2026-03-11T15:51:37Z 置信度 0.78 cs.CYcs.AI
• Agentic AI Needs a Systems Theory
  The endowment of AI with reasoning capabilities and some degree of agency is widely viewed as a path toward more capable and generalizable systems. Our position is that the current development of agentic AI requires a more holistic, systems-theoretic perspecti…
  arxiv Erik Miehling, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Matthew Riemer 等 2025-02-28T22:51:32Z 置信度 0.78 cs.AI
• Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
  Emerging Distributed AI systems are revolutionizing big data computing and data processing capabilities with growing economic and societal impact. However, recent studies have identified new attack surfaces and risks caused by security, privacy, and fairness i…
  arxiv Wenqi Wei, Ling Liu 2024-02-02T01:58:58Z 置信度 0.78 cs.LGcs.AIcs.CRcs.DC
• A Bibliometric View of AI Ethics Development
  Artificial Intelligence (AI) Ethics is a nascent yet critical research field. Recent developments in generative AI and foundational models necessitate a renewed look at the problem of AI Ethics. In this study, we perform a bibliometric analysis of AI Ethics li…
  arxiv Di Kevin Gao, Andrew Haverly, Sudip Mittal, Jingdao Chen 2024-02-08T16:36:55Z 置信度 0.78 cs.CY
• The Many AI Challenges of Hearthstone
  Games have benchmarked AI methods since the inception of the field, with classic board games such as Chess and Go recently leaving room for video games with related yet different sets of challenges. The set of AI problems associated with video games has in rec…
  arxiv Amy K. Hoover, Julian Togelius, Scott Lee, Fernando de Mesentier Silva 2019-07-15T16:06:41Z 置信度 0.78 cs.AI
• "Turing Tests" For An AI Scientist
  While LLMs have shown impressive capabilities in solving math or coding problems, the ability to make scientific discoveries remains a distinct challenge. This paper proposes a "Turing test for an AI scientist" to assess whether an AI agent can conduct scienti…
  arxiv Xiaoxin Yin 2024-05-22T05:14:27Z 置信度 0.78 cs.AI
• AgentWall: A Runtime Safety Layer for Local AI Agents
  The safety of autonomous AI agents is increasingly recognized as a critical open problem. As agents transition from passive text generators to active actors capable of executing shell commands, modifying files, calling APIs, and browsing the web, the consequen…
  arxiv Ashwin Aravind 2026-03-24T11:39:35Z 置信度 0.78 cs.AIcs.CR
• A Blueprint for Auditing Generative AI
  The widespread use of generative AI systems is coupled with significant ethical and social challenges. As a result, policymakers, academic researchers, and social advocacy groups have all called for such systems to be audited. However, existing auditing proced…
  arxiv Jakob Mokander, Justin Curl, Mihir Kshirsagar 2024-07-07T11:56:54Z 置信度 0.78 cs.CYcs.AI
• Towards Real Smart Apps: Investigating Human-AI Interactions in Smartphone On-Device AI Apps
  With the emergence of deep learning techniques, smartphone apps are now embedded on-device AI features for enabling advanced tasks like speech translation, to attract users and increase market competitiveness. A good interaction design is important to make an …
  arxiv Jason Ching Yuen Siu, Jieshan Chen, Yujin Huang, Zhenchang Xing 等 2023-07-03T05:04:34Z 置信度 0.78 cs.HCcs.AI
• Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration
  Generalist Medical AI (GMAI) systems have demonstrated expert-level performance in biomedical perception tasks, yet their clinical utility remains limited by inadequate multi-modal explainability and suboptimal prognostic capabilities. Here, we present XMedGPT…
  arxiv Honglong Yang, Shanshan Song, Yi Qin, Lehan Wang 等 2025-05-11T08:32:01Z 置信度 0.78 cs.CVcs.CL
• Beyond Cosine Similarity
  Cosine similarity, the standard metric for measuring semantic similarity in vector spaces, is mathematically grounded in the Cauchy-Schwarz inequality, which inherently limits it to capturing linear relationships--a constraint that fails to model the complex, …
  arxiv Xinbo Ai 2026-02-05T03:46:21Z 置信度 0.78 cs.AI
• Calibrated Generative AI as Meta-Reviewer: A Systemic Functional Linguistics Discourse Analysis of Reviews of Peer Reviews
  This study investigates the use of generative AI to support formative assessment through machine generated reviews of peer reviews in graduate online courses in a public university in the United States. Drawing on Systemic Functional Linguistics and Appraisal …
  arxiv Gabriela C. Zapata, Bill Cope, Mary Kalantzis, Duane Searsmith 2025-09-18T15:00:44Z 置信度 0.78 cs.AIcs.HC
• AI Risk Skepticism, A Comprehensive Survey
  In this thorough study, we took a closer look at the skepticism that has arisen with respect to potential dangers associated with artificial intelligence, denoted as AI Risk Skepticism. Our study takes into account different points of view on the topic and dra…
  arxiv Vemir Michael Ambartsoumean, Roman V. Yampolskiy 2023-02-16T16:32:38Z 置信度 0.78 cs.CYcs.AI
• Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles
  Self-driving cars and autonomous vehicles are revolutionizing the automotive sector, shaping the future of mobility altogether. Although the integration of novel technologies such as Artificial Intelligence (AI) and Cloud/Edge computing provides golden opportu…
  arxiv Sorin Grigorescu, Tiberiu Cocias, Bogdan Trasnea, Andrea Margheri 等 2020-09-23T09:23:29Z 置信度 0.78 cs.SEcs.AIcs.DC
• VideoDiff: Human-AI Video Co-Creation with Alternatives
  To make an engaging video, people sequence interesting moments and add visuals such as B-rolls or text. While video editing requires time and effort, AI has recently shown strong potential to make editing easier through suggestions and automation. A key streng…
  arxiv Mina Huh, Dingzeyu Li, Kim Pimmel, Hijung Valentina Shin 等 2025-02-14T14:31:04Z 置信度 0.78 cs.HC
• Application of AI in Nutrition
  In healthcare, artificial intelligence (AI) has been changing the way doctors and health experts take care of people. This paper will cover how AI is making major changes in the health care system, especially with nutrition. Various machine learning and deep l…
  arxiv Ritu Ramakrishnan, Tianxiang Xing, Tianfeng Chen, Ming-Hao Lee 等 2023-12-18T04:37:45Z 置信度 0.78 cs.HCcs.IR
• Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits
  Broadly accessible generative AI models like Dall-E have made it possible for anyone to create compelling visual art. In online communities, the introduction of AI-generated content (AIGC) may impact social dynamics, for example causing changes in who is posti…
  arxiv Hana Matatov, Marianne Aubin Le Quéré, Ofra Amir, Mor Naaman 2024-10-09T17:41:13Z 置信度 0.78 cs.AIcs.CYcs.SI
• 6G Native AI and Channel Foundation Models
  The integration of artificial intelligence (AI) and wireless communications is widely regarded as a core objective of sixth-generation (6G) systems. However, both the meaning of native AI and the type of AI capability that should be embedded into future wirele…
  arxiv Shugong Xu, Jun Jiang, Yuan Gao 2026-06-24T10:50:23Z 置信度 0.78 eess.SPcs.ITcs.LG
• From Coordinate Matching to Structural Alignment: Rethinking Prototype Alignment in Heterogeneous Federated Learning
  Heterogeneous federated learning (HtFL) aims to enable collaboration among clients that differ in both data distributions and model architectures. Prototype-based methods, which communicate class-level feature centers (prototypes) instead of full model paramet…
  arxiv Xinghao Wu, Jianwei Niu, Guogang Zhu, Xuefeng Liu 等 2026-05-07T10:06:26Z 置信度 0.78 cs.AIcs.DCcs.LG
• Evaluating Device-First Continuum AI (DFC-AI) for Autonomous Operations in the Energy Sector
  Industrial automation in the energy sector requires AI systems that can operate autonomously regardless of network availability, a requirement that cloud-centric architectures cannot meet. This paper evaluates the application of Device-First Continuum AI (DFC-…
  arxiv Siavash M. Alamouti, Fay Arjomandi, Michel Burger, Bashar Altakrouri 2025-10-28T02:07:32Z 置信度 0.78 cs.NIcs.AI
• Evolution of fairness in hybrid populations with specialised AI agents
  Fairness in hybrid societies hinges on a simple choice: should AI be a generous host or a strict gatekeeper? Moving beyond symmetric models, we show that asymmetric social structures--like those in hiring, regulation, and negotiation--AI that guards fairness o…
  arxiv Zhao Song, Theodor Cimpeanu, Chen Shen, The Anh Han 2026-02-15T15:35:43Z 置信度 0.78 cs.MAcs.GT
• Multimodal Alignment and Fusion: A Survey
  This survey provides a comprehensive overview of recent advances in multimodal alignment and fusion within the field of machine learning, driven by the increasing availability and diversity of data modalities such as text, images, audio, and video. Unlike prev…
  arxiv Songtao Li, Hao Tang 2024-11-26T02:10:27Z 置信度 0.78 cs.CV
• A Human-Centric Assessment Framework for AI
  With the rise of AI systems in real-world applications comes the need for reliable and trustworthy AI. An essential aspect of this are explainable AI systems. However, there is no agreed standard on how explainable AI systems should be assessed. Inspired by th…
  arxiv Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski 等 2022-05-25T12:59:13Z 置信度 0.78 cs.AIcs.HC
• Parametric Alignment of Drosophila Genomes
  The classic algorithms of Needleman--Wunsch and Smith--Waterman find a maximum a posteriori probability alignment for a pair hidden Markov model (PHMM). In order to process large genomes that have undergone complex genome rearrangements, almost all existing wh…
  arxiv Colin Dewey, Peter Huggins, Kevin Woods, Bernd Sturmfels 等 2005-12-02T21:24:37Z 置信度 0.78 q-bio.GNmath.COq-bio.QM
• Rashomon Alignment
  We propose Rashomon Alignment (RA), a new measure to assess functional similarity between two models. Existing functional similarity measures are distributional, quantifying differences between outputs of models applied to real-world data. However, these measu…
  arxiv Moisés Santos, Peter van der Putten, Bernhard Pfahringer, Carlos Soares 2026-07-28T12:55:57Z 置信度 0.78 cs.LGcs.AI
• Nonsingular black hole in two-dimensional asymptotically flat spacetime
  We study a special two-dimensional dilaton gravity with Lagrangian $\mathcal{L}=\frac{1}{2}\sqrt{-g}(φR+{λ^2}{\rm sech}^2φ)$ where $λ$ is a parameter of dimension mass. This theory describes two-dimensional spacetimes that are asymptotically flat. Very interes…
  arxiv Wen-Yuan Ai 2020-06-14T18:01:29Z 置信度 0.78 hep-thgr-qc
• How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
  Recent studies have demonstrated that In-Context Learning (ICL), through the use of specific demonstrations, can align Large Language Models (LLMs) with human preferences known as In-Context Alignment (ICA), indicating that models can comprehend human instruct…
  arxiv Heyan Huang, Yinghao Li, Huashan Sun, Yu Bai 等 2024-06-17T12:38:48Z 置信度 0.78 cs.CLcs.AI
• On logic and generative AI
  A hundred years ago, logic was almost synonymous with foundational studies. The ongoing AI revolution raises many deep foundational problems involving neuroscience, philosophy, computer science, and logic. The goal of the following dialog is to provoke young l…
  arxiv Yuri Gurevich, Andreas Blass 2024-09-22T14:31:58Z 置信度 0.78 cs.AIcs.LO
• Zero Data Retention in LLM-based Enterprise AI Assistants: A Comparative Study of Market Leading Agentic AI Products
  Governance of data, compliance, and business privacy matters, particularly for healthcare and finance businesses. Since the recent emergence of AI enterprise AI assistants enhancing business productivity, safeguarding private data and compliance is now a prior…
  arxiv Komal Gupta, Aditya Shrivastava 2025-10-13T16:00:34Z 置信度 0.78 cs.AI
• Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task
  When designing an AI-assisted decision-making system, there is often a tradeoff between precision and recall in the AI's recommendations. We argue that careful exploitation of this tradeoff can harness the complementary strengths in the human-AI collaboration …
  arxiv Chengyuan Xu, Kuo-Chin Lien, Tobias Höllerer 2024-10-06T23:19:19Z 置信度 0.78 cs.HCcs.AIcs.CV
• Agentic AI: Autonomy, Accountability, and the Algorithmic Society
  Agentic Artificial Intelligence (AI) can autonomously pursue long-term goals, make decisions, and execute complex, multi-turn workflows. Unlike traditional generative AI, which responds reactively to prompts, agentic AI proactively orchestrates processes, such…
  arxiv Anirban Mukherjee, Hannah Hanwen Chang 2025-02-01T03:14:59Z 置信度 0.78 cs.CY
• HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT
  This paper introduces the HH4AI Methodology, a structured approach to assessing the impact of AI systems on human rights, focusing on compliance with the EU AI Act and addressing technical, ethical, and regulatory challenges. The paper highlights AIs transform…
  arxiv Paolo Ceravolo, Ernesto Damiani, Maria Elisa D'Amico, Bianca de Teffe Erb 等 2025-03-23T19:10:14Z 置信度 0.78 cs.CYcs.AIcs.LG
• The AI Security Pyramid of Pain
  We introduce the AI Security Pyramid of Pain, a framework that adapts the cybersecurity Pyramid of Pain to categorize and prioritize AI-specific threats. This framework provides a structured approach to understanding and addressing various levels of AI threats…
  arxiv Chris M. Ward, Josh Harguess, Julia Tao, Daniel Christman 等 2024-02-16T21:14:11Z 置信度 0.78 cs.CRcs.AI
• Roots and Requirements for Collaborative AIs
  The vision of AI collaborators is a staple of mythology and science fiction, where artificial agents with special talents assist human partners and teams. In this dream, sophisticated AIs understand nuances of collaboration and human communication. The AI as c…
  arxiv Mark Stefik 2023-03-21T17:27:38Z 置信度 0.78 cs.AI
• Alignment and Adversarial Robustness: Are More Human-Like Models More Secure?
  A small but growing body of work has shown that machine learning models which better align with human vision have also exhibited higher robustness to adversarial examples, raising the question: can human-like perception make models more secure? If true general…
  arxiv Blaine Hoak, Kunyang Li, Patrick McDaniel 2025-02-17T23:30:50Z 置信度 0.78 cs.CV
• Progressive Alignment Objectives for Aligner-Encoder based ASR
  Aligner-Encoders are recently proposed seq2seq end-to-end ASR models that replace decoder attention by predicting the uth token directly from the u-th encoder position, so the encoder must learn the alignment internally without cross-attention or a transducer …
  arxiv Jaeyoung Lee, Masato Mimura, Takafumi Moriya 2026-06-23T05:09:40Z 置信度 0.78 eess.AScs.CLcs.SD
• Two modes of carbonaceous dust alignment
  Radiative Torques (RATs) or Mechanical Torques (METs) acting on irregular grains can induce the alignment of dust grains in respect to the alignment axis (AA), which can be either the direction of the magnetic field, or the direction of the radiation. We show …
  arxiv A. Lazarian 2020-09-23T18:00:03Z 置信度 0.78 astro-ph.GA
• Generative AI Agents for Controllable and Protected Content Creation
  The proliferation of generative AI has transformed creative workflows, yet current systems face critical challenges in controllability and content protection. We propose a novel multi-agent framework that addresses both limitations through specialized agent ro…
  arxiv Haris Khan, Sadia Asif 2026-01-18T10:47:07Z 置信度 0.78 cs.MA
• Gaming the Arena: AI Model Evaluation and the Viral Capture of Attention
  Innovation in artificial intelligence (AI) has always been dependent on technological infrastructures, from code repositories to computing hardware. Yet industry -- rather than universities -- has become increasingly influential in shaping AI innovation. As ge…
  arxiv Sam Hind 2025-12-17T09:50:13Z 置信度 0.78 cs.CY
• Why (not) use AI? Analyzing People's Reasoning and Conditions for AI Acceptability
  In recent years, there has been a growing recognition of the need to incorporate lay-people's input into the governance and acceptability assessment of AI usage. However, how and why people judge acceptability of different AI use cases remains under-explored, …
  arxiv Jimin Mun, Wei Bin Au Yeong, Wesley Hanwen Deng, Jana Schaich Borg 等 2025-02-11T06:06:47Z 置信度 0.78 cs.CY
• Mask-Align: Self-Supervised Neural Word Alignment
  Word alignment, which aims to align translationally equivalent words between source and target sentences, plays an important role in many natural language processing tasks. Current unsupervised neural alignment methods focus on inducing alignments from neural …
  arxiv Chi Chen, Maosong Sun, Yang Liu 2020-12-13T21:44:29Z 置信度 0.78 cs.CL
• Deep Research of Deep Research: From Transformer to Agent, From AI to AI for Science
  With the advancement of large language models (LLMs) in their knowledge base and reasoning capabilities, their interactive modalities have evolved from pure text to multimodality and further to agentic tool use. Consequently, their applications have broadened …
  arxiv Yipeng Yu 2026-03-30T12:29:47Z 置信度 0.78 cs.AIcs.MA
• From Crafting Text to Crafting Thought: Grounding AI Writing Support to Writing Center Pedagogy
  As AI writing tools evolve from fixing surface errors to creating language with writers, new capabilities raise concerns about negative impacts on student writers, such as replacing their voices and undermining critical thinking skills. To address these challe…
  arxiv Yijun Liu, John Gallagher, Sarah Sterman, Tal August 2026-02-03T22:30:45Z 置信度 0.78 cs.HC
• Model constraints based on the IceCube neutrino non-detection of GRB 221009A
  GRB 221009A is a bright Gamma-ray burst (GRB) with isotropic energy being larger than $10^{54} ~{\rm ergs}$. Its fairly low redshift makes it a promising candidate for high energy neutrino detection. However, a neutrino search for this GRB reported by the IceC…
  arxiv Shunke Ai, He Gao 2022-10-25T16:04:24Z 置信度 0.78 astro-ph.HE
• AI Assistance for UX: A Literature Review Through Human-Centered AI
  Recent advancements in HCI and AI research attempt to support user experience (UX) practitioners with AI-enabled tools. Despite the potential of emerging models and new interaction mechanisms, mainstream adoption of such tools remains limited. We took the lens…
  arxiv Yuwen Lu, Yuewen Yang, Qinyi Zhao, Chengzhi Zhang 等 2024-02-08T22:51:06Z 置信度 0.78 cs.HC
• Developing Models of Procedural Skills using an AI-assisted Text-to-Model Approach
  Scalable AI tutoring for procedural skill learning requires structured knowledge representations, yet constructing these representations remains a labor-intensive bottleneck. This paper introduces a new LLM-assisted text-to-model (TTM) methodology that transfo…
  arxiv Rahul K. Dass, Shubham Puri, Arpit Khandelwal, Xiao Jin 等 2026-04-19T21:24:33Z 置信度 0.78 cs.HC
• Chat-GPT: An AI Based Educational Revolution
  The AI revolution is gathering momentum at an unprecedented rate. Over the past decade, we have witnessed a seemingly inevitable integration of AI in every facet of our lives. Much has been written about the potential revolutionary impact of AI in education. A…
  arxiv Sasa Maric, Sonja Maric, Lana Maric 2025-02-10T13:03:35Z 置信度 0.78 cs.CYcs.AI