Why_this_webapp Bibliography

Unpacking the Ethical Value Alignment in Big Models / 2310.17551 / ISBN:https://doi.org/10.48550/arXiv.2310.17551 / Published by ArXiv / Version released on 2023-10-26 / on (web) Publishing site

How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities / 2311.09447 / ISBN:https://doi.org/10.48550/arXiv.2311.09447 / Published by ArXiv / Version released on 2024-04-02 / on (web) Publishing site

Mapping the Ethics of Generative AI: A Comprehensive Scoping Review / 2402.08323 / ISBN:https://doi.org/10.48550/arXiv.2402.08323 / Published by ArXiv / Version released on 2024-02-13 / on (web) Publishing site

AI Alignment: A Comprehensive Survey / 2310.19852 / ISBN:https://doi.org/10.48550/arXiv.2310.19852 / Published by ArXiv / Version released on 2025-04-04 / on (web) Publishing site

Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Act / 2404.11476 / ISBN:https://doi.org/10.48550/arXiv.2404.11476 / Published by ArXiv / Version released on 2024-04-17 / on (web) Publishing site

A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law / 2405.01769 / ISBN:https://doi.org/10.48550/arXiv.2405.01769 / Published by ArXiv / Version released on 2024-11-21 / on (web) Publishing site

A Blueprint for Auditing Generative AI / 2407.05338 / ISBN:https://doi.org/10.48550/arXiv.2407.05338 / Published by ArXiv / Version released on 2024-07-07 / on (web) Publishing site

Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework / 2303.11196 / ISBN:https://doi.org/10.48550/arXiv.2303.11196 / Published by ArXiv / Version released on 2024-07-15 / on (web) Publishing site

On the Creativity of Large Language Models / 2304.00008 / ISBN:https://doi.org/10.48550/arXiv.2304.00008 / Published by ArXiv / Version released on 2024-09-18 / on (web) Publishing site

Decoding Large-Language Models: A Systematic Overview of Socio-Technical Impacts, Constraints, and Emerging Questions / 2409.16974 / ISBN:https://doi.org/10.48550/arXiv.2409.16974 / Published by ArXiv / Version released on 2024-09-25 / on (web) Publishing site

Do LLMs Have Political Correctness? Analyzing Ethical Biases and Jailbreak Vulnerabilities in AI Systems / 2410.13334 / ISBN:https://doi.org/10.48550/arXiv.2410.13334 / Published by ArXiv / Version released on 2024-10-23 / on (web) Publishing site

Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications / 2501.12456 / ISBN:https://doi.org/10.48550/arXiv.2501.12456 / Published by ArXiv / Version released on 2025-01-21 / on (web) Publishing site

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety / 2502.05206 / ISBN:https://doi.org/10.48550/arXiv.2502.05206 / Published by ArXiv / Version released on 2025-08-02 / on (web) Publishing site

Prioritization First, Principles Second: An Adaptive Interpretation of Helpful, Honest, and Harmless Principles / 2502.06059 / ISBN:https://doi.org/10.48550/arXiv.2502.06059 / Published by ArXiv / Version released on 2025-12-27 / on (web) Publishing site

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective / 2502.14296 / ISBN:https://doi.org/10.48550/arXiv.2502.14296 / Published by ArXiv / Version released on 2025-09-30 / on (web) Publishing site

Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review / 2502.14886 / ISBN:https://doi.org/10.48550/arXiv.2502.14886 / Published by ArXiv / Version released on 2025-11-03 / on (web) Publishing site

Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives / 2502.16841 / ISBN:https://doi.org/10.48550/arXiv.2502.16841 / Published by ArXiv / Version released on 2026-01-14 / on (web) Publishing site

Ethical Implications of AI in Data Collection: Balancing Innovation with Privacy / 2503.14539 / ISBN:https://doi.org/10.48550/arXiv.2503.14539 / Published by ArXiv / Version released on 2025-03-17 / on (web) Publishing site

We Are All Creators: Generative AI, Collective Knowledge, and the Path Towards Human-AI Synergy / 2504.07936 / ISBN:https://doi.org/10.48550/arXiv.2504.07936 / Published by ArXiv / Version released on 2025-04-10 / on (web) Publishing site

On the Surprising Efficacy of LLMs for Penetration-Testing / 2507.00829 / ISBN:https://doi.org/10.48550/arXiv.2507.00829 / Published by ArXiv / Version released on 2025-07-01 / on (web) Publishing site

The AI Ethical Resonance Hypothesis: The Possibility of Discovering Moral Meta-Patterns in AI Systems / 2507.11552 / ISBN:https://doi.org/10.48550/arXiv.2507.11552 / Published by ArXiv / Version released on 2025-07-13 / on (web) Publishing site

Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance / 2508.08789 / ISBN:https://doi.org/10.48550/arXiv.2508.08789 / Published by ArXiv / Version released on 2025-08-18 / on (web) Publishing site

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives / 2508.15031 / ISBN:https://doi.org/10.48550/arXiv.2508.15031 / Published by ArXiv / Version released on 2025-08-27 / on (web) Publishing site

Between a Rock and a Hard Place: Exploiting Ethical Reasoning to Jailbreak LLMs / 2509.05367 / ISBN:https://doi.org/10.48550/arXiv.2509.05367 / Published by ArXiv / Version released on 2025-09-12 / on (web) Publishing site

AI and the Future of Academic Peer Review / 2509.14189 / ISBN:https://doi.org/10.48550/arXiv.2509.14189 / Published by ArXiv / Version released on 2025-09-18 / on (web) Publishing site

Toward a Public and Secure Generative AI: A Comparative Analysis of Open and Closed LLMs / 2505.10603 / ISBN:https://doi.org/10.48550/arXiv.2505.10603 / Published by ArXiv / Version released on 2025-10-30 / on (web) Publishing site

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs / 2506.11094 / ISBN:https://doi.org/10.48550/arXiv.2506.11094 / Published by ArXiv / Version released on 2025-10-30 / on (web) Publishing site

Copyright Detection in Large Language Models: An Ethical Approach to Generative AI Development / 2511.20623 / ISBN:https://doi.org/10.48550/arXiv.2511.20623 / Published by ArXiv / Version released on 2025-11-25 / on (web) Publishing site

A Framework for Responsible AI Systems: Building Societal Trust through Domain Definition, Trustworthy AI Design, Auditability, Accountability, and Governance / 2503.04739 / ISBN:https://doi.org/10.48550/arXiv.2503.04739 / Published by ArXiv / Version released on 2026-01-08 / on (web) Publishing site

Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Stud / 2512.15791 / ISBN:https://doi.org/10.48550/arXiv.2512.15791 / Published by ArXiv / Version released on 2025-12-16 / on (web) Publishing site

PrivacyBench: A Conversational Benchmark for Evaluating Privacy in Personalized AI / 2512.24848 / ISBN:https://doi.org/10.48550/arXiv.2512.24848 / Published by ArXiv / Version released on 2025-12-31 / on (web) Publishing site

Legal Alignment for Safe and Ethical AI / 2601.04175 / ISBN:https://doi.org/10.48550/arXiv.2601.04175 / Published by ArXiv / Version released on 2026-01-07 / on (web) Publishing site

Guardrails for trust, safety, and ethical development and deployment of Large Language Models (LLM) / 2601.14298 / ISBN:https://doi.org/10.48550/arXiv.2601.14298 / Published by ArXiv / Version released on 2026-01-16 / on (web) Publishing site

Disclose with Care: Designing Privacy Controls in Interview Chatbots / 2602.01387 / ISBN:https://doi.org/10.48550/arXiv.2602.01387 / Published by ArXiv / Version released on 2026-02-01 / on (web) Publishing site

A Human-Centered Privacy Approach (HCP) to AI / 2602.04616 / ISBN:https://doi.org/10.48550/arXiv.2602.04616 / Published by ArXiv / Version released on 2026-02-04 / on (web) Publishing site

Reliable and Responsible Foundation Models: A Comprehensive Survey / 2602.08145 / ISBN:https://doi.org/10.48550/arXiv.2602.08145 / Published by ArXiv / Version released on 2026-02-04 / on (web) Publishing site