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Tag: madaio
Bibliography items where occurs: 27
- Survey on AI Ethics: A Socio-technical Perspective / 2311.17228 / ISBN:https://doi.org/10.48550/arXiv.2311.17228 / Published by ArXiv / Version released on 2025-11-04 / on (web) Publishing site
- A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations / 2401.17486 / ISBN:https://doi.org/10.48550/arXiv.2401.17486 / Published by ArXiv / Version released on 2024-01-30 / on (web) Publishing site
- Ethics in AI through the Practitioner's View: A Grounded Theory Literature Review / 2206.09514 / ISBN:https://doi.org/10.48550/arXiv.2206.09514 / Published by ArXiv / Version released on 2024-02-20 / on (web) Publishing site
- Multi-stakeholder Perspective on Responsible Artificial Intelligence and Acceptability in Education / 2402.15027 / ISBN:https://doi.org/10.48550/arXiv.2402.15027 / Published by ArXiv / Version released on 2024-02-28 / on (web) Publishing site
- Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence / 2403.00148 / ISBN:https://doi.org/10.48550/arXiv.2403.00148 / Published by ArXiv / Version released on 2024-02-29 / on (web) Publishing site
- Responsible Artificial Intelligence: A Structured Literature Review / 2403.06910 / ISBN:https://doi.org/10.48550/arXiv.2403.06910 / Published by ArXiv / Version released on 2024-03-11 / on (web) Publishing site
- Power and Play Investigating License to Critique in Teams AI Ethics Discussions / 2403.19049 / ISBN:https://doi.org/10.48550/arXiv.2403.19049 / Published by ArXiv / Version released on 2024-04-08 / 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
- RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles / 2307.15158 / ISBN:https://doi.org/10.48550/arXiv.2307.15158 / Published by ArXiv / Version released on 2024-06-04 / on (web) Publishing site
- Operationalising AI governance through ethics-based auditing: An industry case study / 2407.06232 / Published by ArXiv / Version released on 2024-07-07 / on (web) Publishing site
- Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance / 2408.01458 / ISBN:https://doi.org/10.48550/arXiv.2408.01458 / Published by ArXiv / Version released on 2024-07-26 / on (web) Publishing site
- Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems / 2408.15550 / ISBN:https://doi.org/10.48550/arXiv.2408.15550 / Published by ArXiv / Version released on 2024-09-02 / 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
- How Do AI Companies Fine-Tune Policy? Examining Regulatory Capture in AI Governance / 2410.13042 / ISBN:https://doi.org/10.48550/arXiv.2410.13042 / Published by ArXiv / Version released on 2024-10-16 / 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
- AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages / 2505.10300 / ISBN:https://doi.org/10.48550/arXiv.2505.10300 / Published by ArXiv / Version released on 2025-05-15 / on (web) Publishing site
- Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions / 2505.20692 / ISBN:https://doi.org/10.48550/arXiv.2505.20692 / Published by ArXiv / Version released on 2025-05-27 / 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
- A Practical SAFE-AI Framework for Small and Medium-Sized Enterprises Developing Medical Artificial Intelligence Ethics Policies / 2507.01304 / ISBN:https://doi.org/10.48550/arXiv.2507.01304 / Published by ArXiv / Version released on 2025-07-02 / 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 2025-09-26 / on (web) Publishing site
- Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics / 2506.12365 / ISBN:https://doi.org/10.48550/arXiv.2506.12365 / Published by ArXiv / Version released on 2025-07-31 / on (web) Publishing site
- Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation / 2507.15901 / ISBN:https://doi.org/10.48550/arXiv.2507.15901 / Published by ArXiv / Version released on 2025-07-21 / on (web) Publishing site
- Can AI be Auditable? / 2509.00575 / ISBN:https://doi.org/10.48550/arXiv.2509.00575 / Published by ArXiv / Version released on 2025-09-14 / on (web) Publishing site
- Towards Enhancing Data Equity in Public Health Data Science / 2508.20301 / ISBN:https://doi.org/10.48550/arXiv.2508.20301 / Published by ArXiv / Version released on 2025-08-27 / on (web) Publishing site
- Integration of AI in STEM Education, Addressing Ethical Challenges in K-12 Settings / 2510.19196 / ISBN:https://doi.org/10.48550/arXiv.2510.19196 / Published by ArXiv / Version released on 2025-10-22 / on (web) Publishing site
- BeautyGuard: Designing a Multi-Agent Roundtable System for Proactive Beauty Tech Compliance through Stakeholder Collaboration
/ 2511.12645 / ISBN:https://doi.org/10.48550/arXiv.2511.12645 / Version released on 2025-11-18 / on (web) Publishing site
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