Why_this_webapp Bibliography

The AI Index 2022 Annual Report / 2205.03468 / ISBN:https://doi.org/10.48550/arXiv.2205.03468 / Published by ArXiv / Version released on 2022-05-02 / on (web) Publishing site

The Ethics of AI Value Chains / 2307.16787 / ISBN:https://doi.org/10.48550/arXiv.2307.16787 / Published by ArXiv / Version released on 2024-09-18 / on (web) Publishing site

Regulation and NLP (RegNLP): Taming Large Language Models / 2310.05553 / ISBN:https://doi.org/10.48550/arXiv.2310.05553 / Published by ArXiv / Version released on 2023-10-09 / on (web) Publishing site

In Consideration of Indigenous Data Sovereignty: Data Mining as a Colonial Practice / 2309.10215 / ISBN:https://doi.org/10.48550/arXiv.2309.10215 / Published by ArXiv / Version released on 2023-09-19 / on (web) Publishing site

Responsible AI Research Needs Impact Statements Too / 2311.11776 / ISBN:https://doi.org/10.48550/arXiv.2311.11776 / Published by ArXiv / Version released on 2023-11-20 / on (web) Publishing site

AGI Artificial General Intelligence for Education / 2304.12479 / ISBN:https://doi.org/10.48550/arXiv.2304.12479 / Published by ArXiv / Version released on 2024-03-13 / on (web) Publishing site

Debunking Robot Rights Metaphysically, Ethically, and Legally / 2404.10072 / ISBN:https://doi.org/10.48550/arXiv.2404.10072 / Published by ArXiv / Version released on 2024-04-15 / on (web) Publishing site

The Necessity of AI Audit Standards Boards / 2404.13060 / ISBN:https://doi.org/10.48550/arXiv.2404.13060 / Published by ArXiv / Version released on 2024-04-11 / 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

Unsocial Intelligence: an Investigation of the Assumptions of AGI Discourse / 2401.13142 / ISBN:https://doi.org/10.48550/arXiv.2401.13142 / Published by ArXiv / Version released on 2024-07-25 / 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

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

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

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

Bias in Large Language Models: Origin, Evaluation, and Mitigation / 2411.10915 / ISBN:https://doi.org/10.48550/arXiv.2411.10915 / Published by ArXiv / Version released on 2024-11-16 / on (web) Publishing site

From Principles to Practice: A Deep Dive into AI Ethics and Regulations / 2412.04683 / ISBN:https://doi.org/10.48550/arXiv.2412.04683 / Published by ArXiv / Version released on 2025-02-06 / on (web) Publishing site

Technology as uncharted territory: Contextual integrity and the notion of AI as new ethical ground / 2412.05130 / ISBN:https://doi.org/10.48550/arXiv.2412.05130 / Published by ArXiv / Version released on 2025-08-27 / 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

Bridging the Gap: Integrating Ethics and Environmental Sustainability in AI Research and Practice / 2504.00797 / ISBN:https://doi.org/10.48550/arXiv.2504.00797 / Published by ArXiv / Version released on 2025-04-01 / 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

The EU AI Act in Development Practice: A Pro-justice Approach / 2504.20075 / ISBN:https://doi.org/10.48550/arXiv.2504.20075 / Published by ArXiv / Version released on 2025-04-24 / on (web) Publishing site

WorldView-Bench: A Benchmark for Evaluating Global Cultural Perspectives in Large Language Models / 2505.09595 / ISBN:https://doi.org/10.48550/arXiv.2505.09595 / Published by ArXiv / Version released on 2025-05-14 / 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

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

Countering Privacy Nihilism / 2507.18253 / ISBN:https://doi.org/10.48550/arXiv.2507.18253 / Published by ArXiv / Version released on 2025-07-24 / on (web) Publishing site

Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study / 2502.00015 / ISBN:https://doi.org/10.48550/arXiv.2502.00015 / Published by ArXiv / Version released on 2025-08-22 / 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

Beyond Technocratic XAI: The Who, What & How in Explanation Design / 2508.09231 / ISBN:https://doi.org/10.48550/arXiv.2508.09231 / Published by ArXiv / Version released on 2025-08-12 / on (web) Publishing site

The AI-Fraud Diamond: A Novel Lens for Auditing Algorithmic Deception / 2508.13984 / ISBN:https://doi.org/10.48550/arXiv.2508.13984 / Published by ArXiv / Version released on 2025-08-19 / 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

Trust and Transparency in AI: Industry Voices on Data, Ethics, and Compliance / 2509.22709 / ISBN:https://doi.org/10.48550/arXiv.2509.22709 / Published by ArXiv / Version released on 2025-09-23 / on (web) Publishing site

TVS Sidekick: Challenges and Practical Insights from Deploying Large Language Models in the Enterprise / 2509.26482 / ISBN:https://doi.org/10.48550/arXiv.2509.26482 / Published by ArXiv / Version released on 2025-09-30 / on (web) Publishing site

AI Adoption Across Mission-Driven Organizations / 2510.03868 / ISBN:https://doi.org/10.48550/arXiv.2510.03868 / Published by ArXiv / Version released on 2025-10-04 / on (web) Publishing site