Ai Safety
The state of AI safety in four fake graphs
submitted by /u/tekz [link] [comments]
Reddit - Artificial Intelligence
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1 min
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AI Safety & Ethics
Alignment, bias, regulation, and responsible AI
Top This Week
![[2603.14267] DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Machine Learning
[2603.14267] DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization
Abstract page for arXiv paper 2603.14267: DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and ...
arXiv - AI
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4 min
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Llms
[2601.22440] AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversations
Abstract page for arXiv paper 2601.22440: AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Value...
arXiv - AI
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4 min
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All Content
Ai Safety
[2603.00078] Alignment Is Not Enough: A Relational Framework for Moral Standing in Human-AI Interaction
Abstract page for arXiv paper 2603.00078: Alignment Is Not Enough: A Relational Framework for Moral Standing in Human-AI Interaction
arXiv - AI
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4 min
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Machine Learning
[2603.00068] The Global Landscape of Environmental AI Regulation: From the Cost of Reasoning to a Right to Green AI
Abstract page for arXiv paper 2603.00068: The Global Landscape of Environmental AI Regulation: From the Cost of Reasoning to a Right to G...
arXiv - AI
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4 min
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Ai Safety
[2603.00066] Contesting Artificial Moral Agents
Abstract page for arXiv paper 2603.00066: Contesting Artificial Moral Agents
arXiv - AI
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3 min
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Generative Ai
[2603.00057] "Bespoke Bots": Diverse Instructor Needs for Customizing Generative AI Classroom Chatbots
Abstract page for arXiv paper 2603.00057: "Bespoke Bots": Diverse Instructor Needs for Customizing Generative AI Classroom Chatbots
arXiv - AI
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3 min
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Ai Safety
[2603.00047] What Is the Geometry of the Alignment Tax?
Abstract page for arXiv paper 2603.00047: What Is the Geometry of the Alignment Tax?
arXiv - Machine Learning
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3 min
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Llms
[2603.00042] Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment
Abstract page for arXiv paper 2603.00042: Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment
arXiv - Machine Learning
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3 min
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Llms
[2603.00024] Personalization Increases Affective Alignment but Has Role-Dependent Effects on Epistemic Independence in LLMs
Abstract page for arXiv paper 2603.00024: Personalization Increases Affective Alignment but Has Role-Dependent Effects on Epistemic Indep...
arXiv - AI
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4 min
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Machine Learning
[2603.02203] Tool Verification for Test-Time Reinforcement Learning
Abstract page for arXiv paper 2603.02203: Tool Verification for Test-Time Reinforcement Learning
arXiv - AI
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3 min
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Machine Learning
[2603.01630] SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing
Abstract page for arXiv paper 2603.01630: SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing
arXiv - AI
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4 min
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Machine Learning
[2603.01620] ToolRLA: Fine-Grained Reward Decomposition for Tool-Integrated Reinforcement Learning Alignment in Domain-Specific Agents
Abstract page for arXiv paper 2603.01620: ToolRLA: Fine-Grained Reward Decomposition for Tool-Integrated Reinforcement Learning Alignment...
arXiv - AI
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3 min
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Llms
[2603.01562] RubricBench: Aligning Model-Generated Rubrics with Human Standards
Abstract page for arXiv paper 2603.01562: RubricBench: Aligning Model-Generated Rubrics with Human Standards
arXiv - AI
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3 min
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Llms
[2603.01396] HarmonyCell: Automating Single-Cell Perturbation Modeling under Semantic and Distribution Shifts
Abstract page for arXiv paper 2603.01396: HarmonyCell: Automating Single-Cell Perturbation Modeling under Semantic and Distribution Shifts
arXiv - AI
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3 min
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Machine Learning
[2603.01290] Opponent State Inference Under Partial Observability: An HMM-POMDP Framework for 2026 Formula 1 Energy Strategy
Abstract page for arXiv paper 2603.01290: Opponent State Inference Under Partial Observability: An HMM-POMDP Framework for 2026 Formula 1...
arXiv - Machine Learning
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4 min
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Llms
[2603.00993] CollabEval: Enhancing LLM-as-a-Judge via Multi-Agent Collaboration
Abstract page for arXiv paper 2603.00993: CollabEval: Enhancing LLM-as-a-Judge via Multi-Agent Collaboration
arXiv - AI
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3 min
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Llms
[2603.00590] Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs
Abstract page for arXiv paper 2603.00590: Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs
arXiv - AI
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4 min
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Machine Learning
[R] Are neurons the wrong primitive for modeling decision systems?
A recent ICLR paper proposes Behavior Learning — replacing neural layers with learnable constrained optimization blocks. It models it as:...
Reddit - Machine Learning
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1 min
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Llms
[2602.03775] An Empirical Study of Collective Behaviors and Social Dynamics in Large Language Model Agents
Abstract page for arXiv paper 2602.03775: An Empirical Study of Collective Behaviors and Social Dynamics in Large Language Model Agents
arXiv - AI
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4 min
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Machine Learning
[2502.01383] InfoBridge: Mutual Information estimation via Bridge Matching
Abstract page for arXiv paper 2502.01383: InfoBridge: Mutual Information estimation via Bridge Matching
arXiv - Machine Learning
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3 min
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Llms
[2509.23371] Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization
Abstract page for arXiv paper 2509.23371: Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and P...
arXiv - Machine Learning
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4 min
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Machine Learning
[2505.19441] Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems
Abstract page for arXiv paper 2505.19441: Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fai...
arXiv - Machine Learning
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3 min
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