Future of AI
AI Safety & Ethics
Alignment, interpretability, AI risks, and building safe AI systems
Skills in this topic
3 skills — Sign in to track your progress
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
2d ago
Interval Certifications for Multilayered Perceptrons via Lattice Traversal
arXiv:2607.08773v1 Announce Type: new Abstract: In this work we present a rigorous theoretical framework to a foundational problem of AI safety, namely adversar
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
2d ago
Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining
arXiv:2607.09578v1 Announce Type: new Abstract: Pre-demolition assessment, the regulated audit process at the heart of urban mining, is an information process i
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
2d ago
ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI
arXiv:2607.09649v1 Announce Type: new Abstract: Concept-based explainable artificial intelligence (AI) can make model reasoning more human-understandable, but c
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
4d ago
Alignment Plausibility: A New Standard for Assuring AI in Healthcare
arXiv:2607.07766v1 Announce Type: new Abstract: Large language models (LLMs) have become significant providers of mental health support, yet they remain product
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
4d ago
Persuasion Attacks Can Decrease Effectiveness of CoT Monitoring
arXiv:2607.08066v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is a promising safety mechanism for AI agents, based on the premise that visib
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
6d ago
Reasoning Consistency Scanning: A Framework for Auditing Chain-of-Thought Validity in AI Safety Evaluations
arXiv:2607.07229v1 Announce Type: new Abstract: Prior work has shown that chain-of-thought (CoT) reasoning is often unfaithful: a model's stated reasoning does
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
6d ago
LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection
arXiv:2607.06592v1 Announce Type: cross Abstract: Object detectors have many applications in safety-critical systems, but they are known to be sensitive to wors
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
6d ago
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
arXiv:2607.06603v1 Announce Type: cross Abstract: The notion of algorithmic fairness has been actively explored from various aspects of fairness, such as counte
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
6d ago
ReMoDEx: A Local-to-Global Relevance-Based Model Decision Explainability Framework for large-Scale Image Datasets
arXiv:2607.06889v1 Announce Type: cross Abstract: Deep learning image classifiers achieve strong predictive performance yet remain opaque in how decisions are f
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
6d ago
Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of Dual-Use Risks, AI-Generated Malware, Explainability, and Defensive Strategies
arXiv:2607.06963v1 Announce Type: cross Abstract: Large Language Models (LLMs) and generative AI (GenAI) systems, such as ChatGPT, Claude, Gemini, LLaMA, Copilo
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
6d ago
On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces
arXiv:2607.07375v1 Announce Type: cross Abstract: Adversarial vulnerability in deep neural networks (DNNs) has been studied from the perspectives of decision-bo
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
6d ago
Neutral Substrates: A Design Constraint for Shared Records Under Persistent Interpretive Disagreement
arXiv:2601.14271v2 Announce Type: replace Abstract: Shared accountability records are often used by parties who may never agree about causation, responsibility,
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
6d ago
AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation
arXiv:2602.05088v4 Announce Type: replace Abstract: Millions of people now use generative AI chatbots for psychological support. Despite their promise, the most
Reddit r/MachineLearning
🛡️ AI Safety & Ethics
⚡ AI Lesson
1w ago
Agentic safety triggers aren't textual safety triggers — MCP attacks that beat SOTA guardrails more than half the time (code + dataset) [R]
Most safety alignment work treats "detect the attack" as a text classification problem — does the prompt contain language the model's safety guardrails should c
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
From Graphs to Gradients: Physics-Inspired Structural Attribution for Cyber-Physical IoT Systems and Beyond
arXiv:2607.05563v1 Announce Type: new Abstract: Interpretable explanation methods in Artificial Intelligence aim to uncover the underlying causes and their effe
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Rethinking Indic AI from a Lens of Cultural Heritage Preservation
arXiv:2607.06544v1 Announce Type: new Abstract: As Artificial Intelligence (AI) makes inroads into different parts of the Indian subcontinent, there is signific
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety
arXiv:2607.05407v1 Announce Type: cross Abstract: Modern artificial intelligence (AI) systems present profound new risks to child safety. AI is increasingly bei
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Statistical Adversaries: Natural Backdoor-like Features in Vision Datasets
arXiv:2607.05516v1 Announce Type: cross Abstract: Model-specific adversarial attacks have been extensively studied. We study a different failure mode: naturally
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Whose fairness? Structural concentration in AI bias research
arXiv:2607.05574v1 Announce Type: cross Abstract: Artificial intelligence increasingly mediates consequential decisions in healthcare, law, and public services,
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Safe Bayesian Optimization with Counterfactual Policies
arXiv:2607.05620v1 Announce Type: cross Abstract: In many decision-making settings, new interventions are acceptable only if they do not reduce outcomes below s
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations
arXiv:2607.06109v1 Announce Type: cross Abstract: Multi-perturbation adversarial training (MAT) aims to achieve robustness against multiple $\ell_p$ perturbatio
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
AirflowAttack: Thermal-Airflow Adversarial Perturbations against Infrared Remote-Sensing Vision-Language Models
arXiv:2607.06485v1 Announce Type: cross Abstract: Vision-language models (VLMs) are increasingly deployed on infrared (IR) remote sensing imagery in security-cr
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Position: EU AI Act's Research Exemptions Can Break the Publication Norms of Major AI Conferences
arXiv:2506.03218v2 Announce Type: replace-cross Abstract: The EU has become one of the vanguards in regulating the digital age. A particularly important regulat
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
What Counts as Real? Speech Restoration and Voice Quality Conversion Pose New Challenges to Deepfake Detection
arXiv:2603.14033v2 Announce Type: replace-cross Abstract: Audio anti-spoofing systems are typically trained to assign one authenticity label to an entire speech
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Internal Pluralism and the Limits of Pairwise Comparisons
arXiv:2607.02672v1 Announce Type: new Abstract: Local pairwise comparisons are a standard tool for learning how people want decision rules to work, e.g., in par
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
How to Avoid Debate: Scalable AI Safety via Doubly-Efficient Interactive Proofs
arXiv:2607.03561v1 Announce Type: new Abstract: As AI models continue to develop powerful capabilities, it becomes critical that we are able to verify that thei
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
The Role of Rigor in Artificial Intelligence
arXiv:2607.03634v1 Announce Type: new Abstract: Artificial intelligence (AI) has achieved extraordinary capabilities despite lacking many of the conceptual and
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
What is Left for Us? Second Scholarship Against the Degradation of Research by AI
arXiv:2607.04049v1 Announce Type: new Abstract: We argue that generative AI can degrade research by eroding the very practices through which scholarly judgement
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Not All Refusals Are Equal: How Safety Alignment Fails Cybersecurity at Scale
arXiv:2607.02714v1 Announce Type: cross Abstract: There is no doubt that safety alignment is an essential step in LLM training. However, conceptually it does no
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Out-of-Distribution Generalization of Risk Aversion in Language Models
arXiv:2607.02755v1 Announce Type: cross Abstract: Training AIs to be risk-averse in resources could offer a failsafe in the event that AIs turn out misaligned.
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Vision Token Manipulation Attacks on Cloud-Edge Inference of Large Vision-Language Models
arXiv:2607.02819v1 Announce Type: cross Abstract: Cloud-edge Large Vision-Language Model (LVLM) inference enables efficient deployment by splitting computation
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
TIER: Trajectory-Invariant Explanation Regularization for Membership Privacy
arXiv:2607.02903v1 Announce Type: cross Abstract: Explainability is central to building trustworthy AI, yet explanation interfaces can inadvertently provide adv
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
VISTA: Auditing Semantic Divergence in Vision-Language Models
arXiv:2607.02995v1 Announce Type: cross Abstract: Vision-language models can exhibit visual concept-conditioned divergence: given images containing demographic
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Detecting Architectural Drift in Safety-Critical Firmware through Runtime Trace Analysis
arXiv:2607.03135v1 Announce Type: cross Abstract: Maintaining consistency between architectural design and runtime-observed behavior is challenging in long-live
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Builder, Defender, Breaker: The Case Against Removing the Human from the AI-Driven Security Lifecycle
arXiv:2607.03215v1 Announce Type: cross Abstract: Artificial intelligence has spread across the whole of the security lifecycle. The same family of models now w
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Information-Geometric Superposed Vowel Evaluation: Part 1. Moraic Syllabary (Japanese)
arXiv:2607.04154v1 Announce Type: cross Abstract: This paper explains the principles and provides examples of a new method for distinguishing between FAKE human
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Retroactive Chain-of-Thought (RetroCoT): Forensic Reconstruction Prompts as a Safety Diagnostic Across Model Generations
arXiv:2607.04645v1 Announce Type: cross Abstract: Safety alignment in large language models is typically evaluated against direct, imperative harmful requests.
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation
arXiv:2607.04848v1 Announce Type: cross Abstract: While audio deepfake detection has advanced significantly, representative detectors show limited generalizatio
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Open Problems in AI Incident Governance
arXiv:2607.05163v1 Announce Type: cross Abstract: AI systems may produce failures after deployment that pre-deployment safety assessments do not anticipate. Man
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Privacy-Preserving Robustness Verification for Neural Networks
arXiv:2607.05251v1 Announce Type: cross Abstract: Neural network verification and data privacy are inherently in tension: verification demands full access to mo
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
NEST: Nascent Encoded Steganographic Thoughts
arXiv:2602.14095v2 Announce Type: replace Abstract: Monitoring chain-of-thought (CoT) reasoning is a foundational safety technique for large language model agen
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
arXiv:2503.17577v2 Announce Type: replace-cross Abstract: Deepfakes have emerged as a widespread and rapidly escalating concern in generative AI, spanning image
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks
arXiv:2510.16923v3 Announce Type: replace-cross Abstract: Deep learning models deployed in safety critical applications like autonomous driving use simulations
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
1w ago
Bounded Morality: Defining the Space of Moral Computation
arXiv:2607.00002v1 Announce Type: new Abstract: Moral cognition has traditionally been modeled as adherence to fixed ethical theories--deontology, consequential
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
2w ago
Revealing Safety-Critical Scenarios for UTM via Transformer
arXiv:2606.31114v1 Announce Type: new Abstract: Unmanned Traffic Management (UTM) systems are cloud-based platforms designed to manage and coordinate multiple a
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
2w ago
FLARE-AI: Flaw Reporting for AI
arXiv:2606.31567v1 Announce Type: cross Abstract: Flaw reporting for deployed AI systems is fundamental to identifying system failures and improving AI safety.
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
2w ago
Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
arXiv:2602.03778v2 Announce Type: replace-cross Abstract: Tail-end risk measures such as static conditional value-at-risk (CVaR) are used in safety-critical app
ArXiv cs.AI
🛡️ AI Safety & Ethics
📄 Paper
⚡ AI Lesson
2w ago
TrajRS: Towards Certified Robustness in Pedestrian Trajectory Prediction
arXiv:2606.28716v1 Announce Type: new Abstract: The robustness of trajectory prediction models is crucial for developing safe autonomous driving systems. Advers
DeepCamp AI