Latest AI Ethics & Fairness Research Papers
The newest AI Ethics & Fairness papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks AI Ethics & Fairness so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.
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- Governance-in-Action in Sacred Semantics: A Civilizational Algorithm Theory Analysis of the Second Section of Jawshan KabirSeyyedAbdolHojjat MoghadasNian, SeyyedAbdolHamed MoghadasNian · OpenAlex · May 10, 2026
This article presents a conceptual and systems-oriented interpretation of the second section of Jawshan Kabir through the lens of Civilizational Algorithm Theory (CAT). It explores how this bounded sacred text may be read, in addition to it…
- SΔϕ-63 — Theory-to-Module Conversion Protocol: Converting Philosophical, Ethical, and Religious Frameworks into Conditional Detection ModulesSofience · Zenodo (CERN European Organ... · May 9, 2026
This working paper introduces the Theory-to-Module Conversion Protocol within the Sofience–Δϕ (SΔϕ) Formalism. The core declaration is: no theory should be used as a final judge. Every theory should be converted into a conditional detection…
- Large language models eroding science understanding: an experimental studyHarry Collins, Hartmut Grote, Paul Newbury, Patrick Sutton et al. · arXiv · Apr 28, 2026
This paper is under review in AI and Ethics This study examines whether large language models (LLMs) can reliably answer scientific questions and demonstrates how easily they can be influenced by fringe scientific material. The authors modi…
- The Ethical Knowledge Gap: Dispersed Knowledge, Sensemaking Failures, and Epistemic DependenceJan Gogoll · arXiv · Apr 27, 2026
Ethical software development remains stubbornly difficult despite two decades of normative frameworks, professional codes, and participatory methodologies. This paper offers a diagnostic rather than prescriptive contribution: it argues that…
- FAccT-Checked: A Narrative Review of Authority Reconfigurations and Retention in AI-Mediated JournalismStefano Sorrentino, Matilde Barbini, Daniel Gatica-Perez · arXiv · Apr 23, 2026
Building on recent interpretivist approaches, we conduct a critical narrative review across journalism studies, human-computer interaction, and FAccT scholarship, conceptualizing editorial authority as the conjunction of decision rights, ep…
- CHASM: Unveiling Covert Advertisements on Chinese Social MediaJingyi Zheng, Tianyi Hu, Yule Liu, Zhen Sun et al. · arXiv · Apr 22, 2026
Current benchmarks for evaluating large language models (LLMs) in social media moderation completely overlook a serious threat: covert advertisements, which disguise themselves as regular posts to deceive and mislead consumers into making p…
- Donald Trump’s mental health: are health professionals’ media speculations ethical or dangerous?Tom Moberly · BMJ · Apr 22, 2026
Donald Trump is rarely out of the headlines. But amid war, tariffs, and internet memes, is it right for medical professionals to wade into the debate about the US president’s mental health and fitness for office? <b>Tom Moberly</b> reports.…
- Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based HiringHuy Nghiem, Phuong-Anh Nguyen-Le, Sy-Tuyen Ho, Hal Daume · arXiv · Apr 21, 2026
Research has documented LLMs' name-based bias in hiring and salary recommendations. In this paper, we instead consider a setting where LLMs generate candidate summaries for downstream assessment. In a large-scale controlled study, we analyz…
- Fairness Audits of Institutional Risk Models in Deployed ML PipelinesKelly McConvey, Dipto Das, Maya Ghai, Angelina Zhai et al. · arXiv · Apr 21, 2026
Fairness audits of institutional risk models are critical for understanding how deployed machine learning pipelines allocate resources. Drawing on multi-year collaboration with Centennial College, where our prior ethnographic work introduce…
- Auditing LLMs for Algorithmic Fairness in Casenote-Augmented Tabular PredictionXiao Qi Lee, Ezinne Nwankwo, Angela Zhou · arXiv · Apr 21, 2026
LLMs are increasingly being considered for prediction tasks in high-stakes social service settings, but their algorithmic fairness properties in this context are poorly understood. In this short technical report, we audit the algorithmic fa…
- Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural AlignmentBryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, Jing Yao et al. · arXiv · Apr 14, 2026
Despite their global prevalence, many Large Language Models (LLMs) are aligned to a monolithic, often Western-centric set of values. This paper investigates the more challenging task of fine-grained value alignment: examining whether LLMs c…
- BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image ModelsHanjun Luo, Zhimu Huang, Haoyu Huang, Ziye Deng et al. · arXiv · Apr 13, 2026
Text-to-Image (T2I) generative models have revolutionized content creation, yet they inherently risk amplifying societal biases. While sociological research provides systematic classifications of bias, existing T2I benchmarks largely confla…
- Postmortem avatars in grief therapy: Prospects, ethics, and governanceJoshua Hatherley, Sandrine R. Schiller, Iwan Williams, Filippos Stamatiou et al. · arXiv · Apr 13, 2026
Postmortem avatars (PMAs) -- AI systems that simulate a deceased person by being fine-tuned on data they generated or that was generated about them -- have attracted growing scholarly attention, yet their potential role in clinical settings…
- Epistemic Trust as a Mechanism for Ethics Integration: Failure Modes and Design Principles from 70 Moral Imagination WorkshopsBenjamin Lange, Geoff Keeling, Kyle Pedersen, Carmen Heringer et al. · arXiv · Apr 13, 2026
Bottom-up responsible innovation initiatives seek to empower technology development teams to engage in ethical reflection, yet such interventions frequently fail to achieve practitioner engagement. Why do some ethics interventions succeed w…
- Consensus and legitimation in global AI regulations: a sociosemiotic perspectiveJiaxuan Qiu, Le Cheng · International Journal of La... · Apr 6, 2026
Abstract This paper adopts a sociosemiotic perspective to examine how normative consensus and legitimacy are constructed in global artificial intelligence (AI) governance discourse. Drawing on a corpus of forty-seven international normative…
- GIGO and the Human Processor: A CHO ReviewKian Tik Go · Open MIND · Mar 18, 2026
This document is a peer review by Go Kian Tik — GKT (Mbah Hogi Bejo™) of Meriel B.’s 10-day research series. Meriel B. is an AI Ethics Researcher, AI Governance Specialist, and founder of AI.MIRROR. Her research covers ten domains: the glob…
- GIGO and the Human Processor: A Chief Humanity Officer ReviewKian Tik Go · Open MIND · Mar 18, 2026
This document is a peer review by Go Kian Tik — GKT (Mbah Hogi Bejo™) of Meriel B.’s 10-day research series. Meriel B. is an AI Ethics Researcher, AI Governance Specialist, and founder of AI.MIRROR. Her research covers ten domains: the glob…
- Artificial Intelligence Applications in Gastric Cancer Surgery: Bridging Early Diagnosis and Responsible Precision MedicineSilvia Malerba, Miljana Vladimirov, Aman Goyal, Audrius Dulskas et al. · Journal of Clinical Medicine · Mar 13, 2026
: Artificial intelligence is progressively emerging as a promising tool in gastric cancer surgery, integrating automation, advanced analytics, and human clinical reasoning. Its safe and ethical adoption requires robust validation, transpare…
- Rainbow, Billiards, and Neng: A Conversation with Meriel on Algorithms, Bias, and the Chief Humanity OfficerKian Tik Go · Zenodo (CERN European Organ... · Mar 12, 2026
This document records a philosophical and technical dialogue between Go Kian Tik and Meriel B., an AI Ethics Researcher, on the nature of algorithmic bias, epistemic blindness, and the observer effect in social media feeds. Triggered by Mer…
- SΔϕ-41 — Ethical Minimum: The Triadic Conditions of Transition (v1.0)Sofience · Open MIND · Mar 9, 2026
This working paper develops a minimal account of ethics within the SΔϕ Formalism. Rather than defining ethics through inherited moral vocabularies alone—such as virtue, duty, law, sin, or the good—it argues that ethics begins at a lower ope…
- The Kṣetra-Kṣetrajña Vibhāga Yoga Framework of the Thirteenth Chapter of Bhagavad Gita for Conscious Leadership and Systemic Ethical Transformation in the 21st CenturyP. S. Aithal, Ramanathan S. · Poornaprajna International ... · Feb 20, 2026
Purpose: The purpose of this research case study is to analyze the metaphysical distinction between the "Field" (Kṣetra) and the "Knower" (Kṣetrajña) as presented in the Thirteenth Chapter of the Bhagavad Gita to establish a foundation for …
- Crossing the principle-practice gap in AI ethics with ethical problem-solving[object Object], [object Object], [object Object], [object Object] et al. · AI Ethics 2025 · Dec 31, 2025
The past years have presented a surge in (AI) development, fueled by breakthroughs in deep learning, increased computational power, and substantial investments in the field. Given the generative capabilities of more recent AI systems, the e…
- Codes of ethics in IT: do they work in isolation?[object Object], [object Object], [object Object], [object Object] et al. · AI Ethics 2025 · Dec 31, 2025
As society advances technologically, ensuring these strides align with common ethical standards and morally acceptable behavior is essential to ensure a sustainable and ethical future. Hence, besides conquering the technical challenges that…
- What role should higher education institutions play in fostering AI ethics? Insights from science and engineering graduate studentsM. Usher, M. Barak, S. Erduran · International Journal of STEM Education · Oct 2, 2025
- Ethics Statements in AI Music Papers: The Effective and the IneffectiveJulia Barnett, Patrick O'Reilly, Jason Smith, Annie Chu et al. · AI4Music · Sep 23, 2025
While research in AI methods for music generation and analysis has grown in scope and impact, AI researchers' engagement with the ethical consequences of this work has not kept pace. To encourage such engagement, many publication venues hav…
- Corporate Governance and AI Ethics of Classification Methods Using Supervised Machine Learning for Decsion MakingAnurag Shrivastava, R. Praveen, Aboothar mahmood Shakir, Apurv Verma et al. · 2025 International Conference on Sustainability, Innovation & Technology (ICSIT) · Aug 22, 2025
In this extensive study, a broad variety of supervised machine learning classification methods in intelligent environments are compared and contrasted with one another. A number of different algorithms, including Decision Trees, k-Nearest N…
- A Systematic Review of AI Ethics in EducationYuyang Yan, Hui Liu, Toby Chau · Journal of Global Information Management · Jul 30, 2025
As AI becomes more embedded in education, urgent ethical concerns—bias, privacy, transparency—demand scholarly attention. This systematic review examines 34 peer-reviewed studies on AI ethics in education (2020–2024), using the PRISMA frame…
- Undergraduate students’ perspectives of generative AI ethicsTianxiao Yang, Jongpil Cheon, M. Cho, Min Huang et al. · International Journal of Educational Technology in Higher Education · Jun 9, 2025
- The ethico-politics of design toolkits: responsible AI tools, from big tech guidelines to feminist ideation cardsTomasz Hollanek · AI and Ethics · Jun 1, 2025
This paper interrogates the belief in toolkitting as a method for translating AI ethics theory into practice and assesses the toolkit paradigm’s effect on the understanding of ethics in AI research and AI-related policy. Drawing on a meta-r…
- AI needs Biospheric EthicsMarcin Korecki · Submitted to NeurIPS 2025 Position Paper Track · May 12, 2025
The dominant paradigm in AI ethics and value alignment is highly anthropocentric. The focus of these disciplines is strictly on human values which limits the depth and breadth of their insights. Recently, attempts to expand to a sentientist…