Landscape of AI safety concerns -- A methodology to support safety assurance for AI-based autonomous systems
Fuente:
arXiv
Saved in:
| Main Authors: | Schnitzer, Ronald, Kilian, Lennart, Roessner, Simon, Theodorou, Konstantinos, Zillner, Sonja |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Service or Not? How to Guide Practitioners in Classifying AI Systems Under the EU AI Act
by: Schnitzer, Ronald, et al.
Published: (2026)
by: Schnitzer, Ronald, et al.
Published: (2026)
AI Hazard Management: A framework for the systematic management of root causes for AI risks
by: Schnitzer, Ronald, et al.
Published: (2023)
by: Schnitzer, Ronald, et al.
Published: (2023)
Problematizing AI Omnipresence in Landscape Architecture
by: Fernberg, Phillip, et al.
Published: (2024)
by: Fernberg, Phillip, et al.
Published: (2024)
A neural-network based anomaly detection system and a safety protocol to protect vehicular network
by: Franceschini, Marco
Published: (2024)
by: Franceschini, Marco
Published: (2024)
Guided Safe Shooting: model based reinforcement learning with safety constraints
by: Paolo, Giuseppe, et al.
Published: (2022)
by: Paolo, Giuseppe, et al.
Published: (2022)
Can AI autonomously build, operate, and use the entire data stack?
by: Agarwal, Arvind, et al.
Published: (2025)
by: Agarwal, Arvind, et al.
Published: (2025)
HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT
by: Ceravolo, Paolo, et al.
Published: (2025)
by: Ceravolo, Paolo, et al.
Published: (2025)
Decoding the Diversity: A Review of the Indic AI Research Landscape
by: KJ, Sankalp, et al.
Published: (2024)
by: KJ, Sankalp, et al.
Published: (2024)
Efficient Solution and Learning of Robust Factored MDPs
by: Schnitzer, Yannik, et al.
Published: (2025)
by: Schnitzer, Yannik, et al.
Published: (2025)
Rapid AI-based generation of coverage paths for dispensing applications
by: Baeuerle, Simon, et al.
Published: (2025)
by: Baeuerle, Simon, et al.
Published: (2025)
Deliberative Alignment is Deep, but Uncertainty Remains: Inference time safety improvement in reasoning via attribution of unsafe behavior to base model
by: Pathmanathan, Pankayaraj, et al.
Published: (2026)
by: Pathmanathan, Pankayaraj, et al.
Published: (2026)
Measuring What AI Systems Might Do: Towards A Measurement Science in AI
by: Voudouris, Konstantinos, et al.
Published: (2026)
by: Voudouris, Konstantinos, et al.
Published: (2026)
Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach
by: Mirbakhsh, Shahin, et al.
Published: (2024)
by: Mirbakhsh, Shahin, et al.
Published: (2024)
Predicting trucking accidents with truck drivers 'safety climate perception across companies: A transfer learning approach
by: Sun, Kailai, et al.
Published: (2024)
by: Sun, Kailai, et al.
Published: (2024)
VUSA: Virtually Upscaled Systolic Array Architecture to Exploit Unstructured Sparsity in AI Acceleration
by: Helal, Shereef, et al.
Published: (2025)
by: Helal, Shereef, et al.
Published: (2025)
Using large language models for embodied planning introduces systematic safety risks
by: Zhang, Tao, et al.
Published: (2026)
by: Zhang, Tao, et al.
Published: (2026)
Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach
by: Karbasi, Amir Hossein, et al.
Published: (2024)
by: Karbasi, Amir Hossein, et al.
Published: (2024)
Can I trust my anomaly detection system? A case study based on explainable AI
by: Rashid, Muhammad, et al.
Published: (2024)
by: Rashid, Muhammad, et al.
Published: (2024)
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
by: Llorca, David Fernández, et al.
Published: (2024)
by: Llorca, David Fernández, et al.
Published: (2024)
Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning
by: Schnitzer, Yannik, et al.
Published: (2026)
by: Schnitzer, Yannik, et al.
Published: (2026)
Seven simple steps for log analysis in AI systems
by: Dubois, Magda, et al.
Published: (2026)
by: Dubois, Magda, et al.
Published: (2026)
Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations
by: Sánchez-Mompó, Adrián, et al.
Published: (2025)
by: Sánchez-Mompó, Adrián, et al.
Published: (2025)
The Use of AI-Robotic Systems for Scientific Discovery
by: Gower, Alexander H., et al.
Published: (2024)
by: Gower, Alexander H., et al.
Published: (2024)
NeuroAI for AI Safety
by: Mineault, Patrick, et al.
Published: (2024)
by: Mineault, Patrick, et al.
Published: (2024)
Certifiably Robust Policies for Uncertain Parametric Environments
by: Schnitzer, Yannik, et al.
Published: (2024)
by: Schnitzer, Yannik, et al.
Published: (2024)
AI tutoring can safely and effectively support students: An exploratory RCT in UK classrooms
by: LearnLM Team, et al.
Published: (2025)
by: LearnLM Team, et al.
Published: (2025)
STRIDE: A Systematic Framework for Selecting AI Modalities -- Agentic AI, AI Assistants, or LLM Calls
by: Asthana, Shubhi, et al.
Published: (2025)
by: Asthana, Shubhi, et al.
Published: (2025)
Optimizing AI-Assisted Code Generation
by: Torka, Simon, et al.
Published: (2024)
by: Torka, Simon, et al.
Published: (2024)
An Explainable AI based approach for Monitoring Animal Health
by: Jana, Rahul, et al.
Published: (2025)
by: Jana, Rahul, et al.
Published: (2025)
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
by: Zhu, Yuchen, et al.
Published: (2024)
by: Zhu, Yuchen, et al.
Published: (2024)
Automatic driving lane change safety prediction model based on LSTM
by: Sun, Wenjian, et al.
Published: (2024)
by: Sun, Wenjian, et al.
Published: (2024)
Industrial brain: a human-like autonomous neuro-symbolic cognitive decision-making system
by: Wang, Junping, et al.
Published: (2025)
by: Wang, Junping, et al.
Published: (2025)
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts
by: Desroches, Clément, et al.
Published: (2025)
by: Desroches, Clément, et al.
Published: (2025)
When AI Eats Itself: On the Caveats of AI Autophagy
by: Xing, Xiaodan, et al.
Published: (2024)
by: Xing, Xiaodan, et al.
Published: (2024)
From Generative AI to Innovative AI: An Evolutionary Roadmap
by: Mohammadabadi, Seyed Mahmoud Sajjadi
Published: (2025)
by: Mohammadabadi, Seyed Mahmoud Sajjadi
Published: (2025)
AI-Assisted Generation of Difficult Math Questions
by: Shah, Vedant, et al.
Published: (2024)
by: Shah, Vedant, et al.
Published: (2024)
Simulation-based reinforcement learning for real-world autonomous driving
by: Osiński, Błażej, et al.
Published: (2019)
by: Osiński, Błażej, et al.
Published: (2019)
Model Science: getting serious about verification, explanation and control of AI systems
by: Biecek, Przemyslaw, et al.
Published: (2025)
by: Biecek, Przemyslaw, et al.
Published: (2025)
Towards a perturbation-based explanation for medical AI as differentiable programs
by: Abe, Takeshi, et al.
Published: (2025)
by: Abe, Takeshi, et al.
Published: (2025)
Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks
by: Bramlage, Lennart, et al.
Published: (2025)
by: Bramlage, Lennart, et al.
Published: (2025)
Similar Items
-
Self-Service or Not? How to Guide Practitioners in Classifying AI Systems Under the EU AI Act
by: Schnitzer, Ronald, et al.
Published: (2026) -
AI Hazard Management: A framework for the systematic management of root causes for AI risks
by: Schnitzer, Ronald, et al.
Published: (2023) -
Problematizing AI Omnipresence in Landscape Architecture
by: Fernberg, Phillip, et al.
Published: (2024) -
A neural-network based anomaly detection system and a safety protocol to protect vehicular network
by: Franceschini, Marco
Published: (2024) -
Guided Safe Shooting: model based reinforcement learning with safety constraints
by: Paolo, Giuseppe, et al.
Published: (2022)