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Tag: philip
Bibliography items where occurs: 28
- FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging / 2109.09658 / ISBN:https://doi.org/10.48550/arXiv.2109.09658 / Published by ArXiv / Version released on 2024-07-22 / on (web) Publishing site
- Commercialized Generative AI: A Critical Study of the Feasibility and Ethics of Generating Native Advertising Using Large Language Models in Conversational Web Search / 2310.04892 / ISBN:https://doi.org/10.48550/arXiv.2310.04892 / Published by ArXiv / Version released on 2023-10-07 / on (web) Publishing site
- FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare / 2309.12325 / ISBN:https://doi.org/10.48550/arXiv.2309.12325 / Published by ArXiv / Version released on 2024-07-08 / on (web) Publishing site
- RAISE -- Radiology AI Safety, an End-to-end lifecycle approach / 2311.14570 / ISBN:https://doi.org/10.48550/arXiv.2311.14570 / Published by ArXiv / Version released on 2023-11-24 / on (web) Publishing site
- Intelligence Primer / 2008.07324 / ISBN:https://doi.org/10.48550/arXiv.2008.07324 / Published by ArXiv / Version released on 2023-12-12 / on (web) Publishing site
- Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints / 2402.08171 / ISBN:https://doi.org/10.1145/3630106.3658973 / Published by ArXiv / Version released on 2024-04-17 / on (web) Publishing site
- Guiding the Way: A Comprehensive Examination of AI Guidelines in Global Media / 2405.04706 / ISBN:https://doi.org/10.48550/arXiv.2405.04706 / Published by ArXiv / Version released on 2024-05-07 / on (web) Publishing site
- The Narrow Depth and Breadth of Corporate Responsible AI Research / 2405.12193 / ISBN:https://doi.org/10.48550/arXiv.2405.12193 / Published by ArXiv / Version released on 2024-05-20 / on (web) Publishing site
- Don't Kill the Baby: The Case for AI in Arbitration / 2408.11608 / ISBN:https://doi.org/10.48550/arXiv.2408.11608 / Published by ArXiv / Version released on 2025-03-22 / on (web) Publishing site
- Improving governance outcomes through AI documentation: Bridging theory and practice / 2409.08960 / ISBN:https://doi.org/10.48550/arXiv.2409.08960 / Published by ArXiv / Version released on 2024-12-09 / on (web) Publishing site
- Social Media Bot Policies: Evaluating Passive and Active Enforcement / 2409.18931 / ISBN:https://doi.org/10.48550/arXiv.2409.18931 / Published by ArXiv / Version released on 2024-09-27 / on (web) Publishing site
- Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration / 2410.02443 / ISBN:https://doi.org/10.48550/arXiv.2410.02443 / Published by ArXiv / Version released on 2024-10-03 / 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
- Artificial Intelligence in Cybersecurity: Building Resilient Cyber Diplomacy Frameworks / 2411.13585 / ISBN:https://doi.org/10.48550/arXiv.2411.13585 / Published by ArXiv / Version released on 2024-11-17 / on (web) Publishing site
- Responsible AI Governance: A Response to UN Interim Report on Governing AI for Humanity / 2412.12108 / ISBN:https://doi.org/10.48550/arXiv.2412.12108 / Published by ArXiv / Version released on 2024-12-31 / on (web) Publishing site
- A Conceptual Exploration of Generative AI-Induced Cognitive Dissonance and its Emergence in University-Level Academic Writing / 2502.05698 / ISBN:https://doi.org/10.48550/arXiv.2502.05698 / Published by ArXiv / Version released on 2025-02-08 / on (web) Publishing site
- DarkBench: Benchmarking Dark Patterns in Large Language Models / 2503.10728 / ISBN:https://doi.org/10.48550/arXiv.2503.10728 / Published by ArXiv / Version released on 2025-03-13 / on (web) Publishing site
- Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents
/ 2504.01029 / ISBN:https://doi.org/10.48550/arXiv.2504.01029 / Published by ArXiv / Version released on 2025-03-28 / on (web) Publishing site
- AI Literacy for Legal AI Systems: A practical approach / 2505.18006 / ISBN:https://doi.org/10.48550/arXiv.2505.18006 / Published by ArXiv / Version released on 2025-05-23 / on (web) Publishing site
- Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe? / 2506.11945 / ISBN:https://doi.org/10.48550/arXiv.2506.11945 / Published by ArXiv / Version released on 2025-06-13 / on (web) Publishing site
- I Hadn't Thought About That: Creators of Human-like AI Weigh in on Ethics And Neurodivergence / 2506.12098 / ISBN:https://doi.org/10.48550/arXiv.2506.12098 / Published by ArXiv / Version released on 2025-06-12 / on (web) Publishing site
- A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications / 2506.12594 / ISBN:https://doi.org/10.48550/arXiv.2506.12594 / Published by ArXiv / Version released on 2025-06-14 / on (web) Publishing site
- Making the Right Thing: Bridging HCI and Responsible AI in Early-Stage AI Concept Selection / 2506.17494 / ISBN:https://doi.org/10.48550/arXiv.2506.17494 / Published by ArXiv / Version released on 2025-06-20 / on (web) Publishing site
- Ask before you Build: Rethinking AI-for-Good in Human Trafficking Interventions / 2506.22512 / ISBN:https://doi.org/10.48550/arXiv.2506.22512 / Published by ArXiv / Version released on 2025-06-26 / on (web) Publishing site
- Towards the Digital Me: A vision of authentic Conversational Agents powered by personal Human Digital Twins
/ 2506.23826 / ISBN:https://doi.org/10.48550/arXiv.2506.23826 / Published by ArXiv / Version released on 2025-06-30 / 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
- Exploring Collaboration Patterns and Strategies in Human-AI Co-creation through the Lens of Agency: A Scoping Review of the Top-tier HCI Literature / 2507.06000 / ISBN:https://doi.org/10.48550/arXiv.2507.06000 / Published by ArXiv / Version released on 2025-07-08 / on (web) Publishing site
- When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance / 2507.07748 / ISBN:https://doi.org/10.48550/arXiv.2507.07748 / Published by ArXiv / Version released on 2025-07-10 / on (web) Publishing site