Policy & Regulation C
23 articles
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Differentially Private Nonparametric Modal Learning with Applications to Regression and Clustering
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Advancing responsible AI across EuropeOpenAI outlines responsible-AI governance efforts in EuropeOpenAI described how its safety, security, transparency, and provenance practices support responsible AI governance across Europe. The post frames the company's approach to regulatory alignment and building trust in the region.
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Beyond Component Testing: Validating Agentic AI Systems
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Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learning
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Analysing User Reviews to Identify User Concerns Around Permissions in AI Apps
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CAGE: Certified Authorization under Typed-Return Uncertainty for Tool-Using Agents
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GoldenRetriever: Non-Interactive Homomorphic Encrypted Retrieval for Privacy-Preserving RAG
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TextCloak: Thwarting Unauthorized LLM Exploitation via RL-Driven Unlearnable Text
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Correlation between prosody and pragmatics: A case study of the discourse marker hālā `now' in Persian
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Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata
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Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data
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'VPNs are lawful technical tools,' says EU Court in landmark copyright rulingEU court: 'VPNs are lawful technical tools' in copyright caseIn a landmark copyright ruling, an EU court held that 'VPNs are lawful technical tools,' declining to equate use of a VPN with infringement. The decision could shape the legal standing of privacy technologies across the bloc.
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An Instrument to Evaluate Governance Proposals: AI Policy Analysis at Scale
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Beyond Binary Rewards: A Comparative Study of Reward Design for Reinforcement Unlearning
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TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement
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Beyond Feeling Better: Capability-Sustaining Emotional Dialogue as a Longitudinal Research Paradigm
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Scores Are Not Decisions: Cost-Aware Stopping for Tool Acquisition in LLM Agents
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Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data
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MPEcho: A Melody and Phoneme-Aware Generative Framework for Controllable Cover Song Generation
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OpenAIやAnthropicなどの従業員、米政府に「AI開発のペース調整を」と提言1,000+ OpenAI, Google staff urge US government to help pace AIMore than 1,000 employees at OpenAI, Google and other firms issued an open letter urging the US government to back international efforts to moderate AI's pace. They cite loss-of-control risks from rapid autonomy and call for tools to regulate development speed, contrasting with industry pushback on open-model rules.
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Runtime Uncertainty Monitoring for LLM-Based Multi-Agent Systems Using Bayesian Networks
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SpeechLLM Meets Federated Learning for End-to-End ASR: English and Italian Case Studies
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BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage