Why_this_webapp Bibliography

Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection / 2308.12885 / ISBN:https://doi.org/10.48550/arXiv.2308.12885 / Published by ArXiv / Version released on 2023-09-27 / on (web) Publishing site

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

The Cambridge Law Corpus: A Corpus for Legal AI Research / 2309.12269 / ISBN:https://doi.org/10.48550/arXiv.2309.12269 / Published by ArXiv / Version released on 2024-01-01 / on (web) Publishing site

The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements / 2310.06269 / ISBN:https://doi.org/10.48550/arXiv.2310.06269 / Published by ArXiv / Version released on 2023-10-10 / on (web) Publishing site

Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering / 2209.04963 / ISBN:https://doi.org/10.48550/arXiv.2209.04963 / Published by ArXiv / Version released on 2023-09-28 / on (web) Publishing site

AI for Open Science: A Multi-Agent Perspective for Ethically Translating Data to Knowledge / 2310.18852 / ISBN:https://doi.org/10.48550/arXiv.2310.18852 / Published by ArXiv / Version released on 2023-10-31 / on (web) Publishing site

AI Ethics Principles in Practice: Perspectives of Designers and Developers / 2112.07467 / ISBN:https://doi.org/10.48550/arXiv.2112.07467 / Published by ArXiv / Version released on 2024-09-06 / 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

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

From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap / 2404.13131 / ISBN:https://doi.org/10.1145/3630106.3658951 / Published by ArXiv / Version released on 2025-08-13 / on (web) Publishing site

Not a Swiss Army Knife: Academics' Perceptions of Trade-Offs Around Generative Artificial Intelligence Use / 2405.00995 / ISBN:https://doi.org/10.48550/arXiv.2405.00995 / Published by ArXiv / Version released on 2025-08-25 / on (web) Publishing site

A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI / 2405.04333 / ISBN:https://doi.org/10.48550/arXiv.2405.04333 / Published by ArXiv / Version released on 2024-05-07 / 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

Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems / 2405.13191 / ISBN:https://doi.org/10.48550/arXiv.2405.13191 / Published by ArXiv / Version released on 2024-05-21 / on (web) Publishing site

Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders Research / 2406.04116 / ISBN:https://doi.org/10.48550/arXiv.2406.04116 / Published by ArXiv / Version released on 2024-06-06 / on (web) Publishing site

Documenting Ethical Considerations in Open Source AI Models / 2406.18071 / ISBN:https://doi.org/10.48550/arXiv.2406.18071 / Published by ArXiv / Version released on 2024-07-03 / 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

Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry / 2407.05339 / ISBN:https://doi.org/10.48550/arXiv.2407.05339 / Published by ArXiv / Version released on 2024-07-07 / 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

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources / 2406.16746 / ISBN:https://doi.org/10.48550/arXiv.2406.16746 / Published by ArXiv / Version released on 2024-09-03 / on (web) Publishing site

The Problems with Proxies: Making Data Work Visible through Requester Practices / 2408.11667 / ISBN:https://doi.org/10.48550/arXiv.2408.11667 / Published by ArXiv / Version released on 2024-08-21 / 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

Data Defenses Against Large Language Models / 2410.13138 / ISBN:https://doi.org/10.48550/arXiv.2410.13138 / Published by ArXiv / Version released on 2024-10-17 / on (web) Publishing site

Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice / 2412.03576 / ISBN:https://doi.org/10.48550/arXiv.2412.03576 / Published by ArXiv / Version released on 2024-11-18 / on (web) Publishing site

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework / 2412.07782 / ISBN:https://doi.org/10.48550/arXiv.2412.07782 / Published by ArXiv / Version released on 2024-11-25 / on (web) Publishing site

Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation / 2501.05617 / ISBN:https://doi.org/10.48550/arXiv.2501.05617 / Published by ArXiv / Version released on 2025-01-09 / on (web) Publishing site

A Critical Field Guide for Working with Machine Learning Datasets / 2501.15491 / ISBN:https://doi.org/10.48550/arXiv.2501.15491 / Published by ArXiv / Version released on 2025-01-26 / on (web) Publishing site

The Third Moment of AI Ethics: Developing Relatable and Contextualized Tools / 2501.16954 / ISBN:https://doi.org/10.48550/arXiv.2501.16954 / Published by ArXiv / Version released on 2025-01-28 / on (web) Publishing site

AI and the Transformation of Accountability and Discretion in Urban Governance / 2502.13101 / ISBN:https://doi.org/10.48550/arXiv.2502.13101 / Published by ArXiv / Version released on 2025-04-16 / on (web) Publishing site

Multi-Agent Risks from Advanced AI / 2502.14143 / ISBN:https://doi.org/10.48550/arXiv.2502.14143 / Published by ArXiv / Version released on 2025-02-19 / 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 2025-09-18 / on (web) Publishing site

Who is Responsible? The Data, Models, Users or Regulations? A Comprehensive Survey on Responsible Generative AI for a Sustainable Future / 2502.08650 / ISBN:https://doi.org/10.48550/arXiv.2502.08650 / Published by ArXiv / Version released on 2025-04-28 / on (web) Publishing site

TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models / 2504.20605 / ISBN:https://doi.org/10.48550/arXiv.2504.20605 / Published by ArXiv / Version released on 2025-04-29 / on (web) Publishing site

TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation / 2505.17841 / ISBN:https://doi.org/10.48550/arXiv.2505.17841 / Published by ArXiv / Version released on 2025-05-23 / 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

Locating Risk: Task Designers and the Challenge of Risk Disclosure in RAI Content Work / 2505.24246 / ISBN:https://doi.org/10.48550/arXiv.2505.24246 / Published by ArXiv / Version released on 2025-09-30 / 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

AI Model Passport: Data and System Traceability Framework for Transparent AI in Health / 2506.22358 / ISBN:https://doi.org/10.48550/arXiv.2506.22358 / Published by ArXiv / Version released on 2025-06-27 / on (web) Publishing site

Model Cards Revisited: Bridging the Gap Between Theory and Practice for Ethical AI Requirements / 2507.06014 / ISBN:https://doi.org/10.48550/arXiv.2507.06014 / Published by ArXiv / Version released on 2025-07-08 / 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

Developer Insights into Designing AI-Based Computer Perception Tools / 2508.21733 / ISBN:https://doi.org/10.48550/arXiv.2508.21733 / Published by ArXiv / Version released on 2025-08-29 / on (web) Publishing site

Enhancing Clinical Decision-Making: Integrating Multi-Agent Systems with Ethical AI Governance / 2504.03699 / ISBN:https://doi.org/10.48550/arXiv.2504.03699 / Published by ArXiv / Version released on 2025-09-22 / on (web) Publishing site

Standards in the Preparation of Biomedical Research Metadata: A Bridge2AI Perspective / 2509.10432 / ISBN:https://doi.org/10.48550/arXiv.2509.10432 / Published by ArXiv / Version released on 2025-09-16 / on (web) Publishing site

Human-aligned AI Model Cards with Weighted Hierarchy Architecture / 2510.06989 / ISBN:https://doi.org/10.48550/arXiv.2510.06989 / Published by ArXiv / Version released on 2025-10-08 / on (web) Publishing site

Building an Open AIBOM Standard in the Wild / 2510.07070 / ISBN:https://doi.org/10.48550/arXiv.2510.07070 / Published by ArXiv / Version released on 2025-10-08 / on (web) Publishing site

SafeGen: Embedding Ethical Safeguards in Text-to-Image Generation / 2512.12501 / ISBN:https://doi.org/10.48550/arXiv.2512.12501 / Published by ArXiv / Version released on 2025-12-14 / 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

Research Integrity and Academic Authority in the Age of Artificial Intelligence: From Discovery to Curation? / 2601.05574 / ISBN:https://doi.org/10.48550/arXiv.2601.05574 / Published by ArXiv / Version released on 2026-01-09 / on (web) Publishing site

Competing Visions of Ethical AI: A Case Study of OpenAI / 2601.16513 / ISBN:https://doi.org/10.48550/arXiv.2601.16513 / Published by ArXiv / Version released on 2026-01-23 / on (web) Publishing site

Beyond Abstract Compliance: Operationalising trust in AI as a moral relationship / 2601.22769 / ISBN:https://doi.org/10.48550/arXiv.2601.22769 / Published by ArXiv / Version released on 2026-01-30 / on (web) Publishing site