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.

Recent papers

• Algorithmic Justice and Responsible AI Journalism: A Comparative Communication Policy Perspective in East Asia
  Renxiudi Huang, Linjia Bai · Knowledge Commons (Lakehead... · Dec 31, 2026

  As generative artificial intelligence and automated content curation rapidly reshape the global media landscape, the intersection of algorithmic justice and media governance has become a critical frontier for sustainable development. This s…

• The Role of Generative Artificial Intelligence in Korean Language Learning: Applications, Challenges, and Instructional Strategies
  Yundong Wu · OpenAlex · Dec 31, 2026

  This conceptual narrative review examines the role of generative artificial intelligence (AI) in Korean language learning. The paper synthesizes recent scholarship on AI-assisted language learning, Korean language education, technology acce…

• Algorithmic Justice and Responsible AI Journalism: A Comparative Communication Policy Perspective in East Asia
  Renxiudi Huang, Linjia Bai · PhilPapers (PhilPapers Foun... · Dec 31, 2026

  As generative artificial intelligence and automated content curation rapidly reshape the global media landscape, the intersection of algorithmic justice and media governance has become a critical frontier for sustainable development. This s…

• The Role of Generative Artificial Intelligence in Korean Language Learning: Applications, Challenges, and Instructional Strategies
  Yundong Wu · Knowledge Commons (Lakehead... · Dec 31, 2026

  This conceptual narrative review examines the role of generative artificial intelligence (AI) in Korean language learning. The paper synthesizes recent scholarship on AI-assisted language learning, Korean language education, technology acce…

• Fostering an enabling environment for health AI innovation and scale: The need for tailored ethics training for innovators in low- and middle-income countries
  [object Object], [object Object], [object Object], [object Object] et al. · AI Ethics 2026 · Dec 31, 2026

  Artificial intelligence (AI) is a rapidly evolving technology with transformative potential across many fields, including health. Interest in AI is growing globally, including in low- and middle-income countries (LMICs), but few studies hav…

• Ethical agency and worker precarity amid polycrisis: a protest narrative analysis
  Zhangzhong Huang, Zaheer Abbas, Talib Hussain, Seung Won Lee · Scientific Electronic Libra... · Oct 1, 2026

  Abstract: This study explores the ethical dimensions of worker precarity and protest agency in the context of ongoing polycrisis conditions in Gilgit-Baltistan, Pakistan. Drawing upon publicly available protest videos from various occupatio…

• The development of Japanese medical ethics education from 1950s and its lessons for China
  Kai Hou, Peisen Li · Scientific Electronic Libra... · Oct 1, 2026

  Abstract: Background: Modern medical technology has significantly advanced human health and well-being, yet it has also introduced complex ethical challenges that require careful navigation. In this context, medical ethics education plays a…

• Machines that express emotions: from medical paternalism to machine paternalism?
  Óscar Andrés Molina, B. Herreros, Gerardo de Vega González · Scientific Electronic Libra... · Oct 1, 2026

  Abstract: Introduction: Machines do not have emotions, but they can be programmed to express (to appear to have) certain emotions. In medicine, robots and AI machines are used that could express positive emotions (joy, compassion, hope, gra…

• Teaching Case: No Place to Hide: Ethical and Legal Challenges in Geospatial Consumer Targeting
  Christine Ladwig, Dana Schwieger · Journal of the Association ... · Sep 15, 2026

  Advertising has evolved beyond traditional media to dynamic, artificial intelligence (AI) and data-driven displays that interact with passersby. Marketers now use various technologies to collect and combine geospatial and personal data from…

• Governing AI Research Through Peer Review: A Mixed-Methods Study of the Longitudinal Effects of Ethics Flags Across Resubmissions
  Kento Nishi, Alec Laprevotte, Isaiah Bullock, Mfoniso Andrew · arXiv · Sep 9, 2026

  Selective AI conferences have recently begun enforcing ethics flags and related review requirements, with the goal being to steer research towards safer and more responsible practices before publication. But do these requirements actually s…

• When Does Defendant Statement Matter? A Study of Bias and Persuasion in LLM-Simulated Jurors
  Cho-Ying Wu · arXiv · Sep 9, 2026

  LLMs have been used to simulate human decision-making in professional settings, yet their behaviors in common-law jury trials remain unexplored. We study when and how a defendant's courtroom statement affects LLM-simulated jurors, focusing …

• The Audit Decides the Verdict: Instrument Effects Rival Demographic Bias in LLM Decision Audits
  Siddharth Vohra, Manikandan Ravikiran · arXiv · Sep 8, 2026

  Whether a language model looks demographically biased can depend on how the audit asks its question. A charitable-aid benchmark reports that the same models favor minority applicants when rating requests one at a time and penalize some when…

• AI Applications to Customer Relationship Marketing-Ethical Considerations
  Edward A Wogan · Journal of the Association ... · Aug 15, 2026

  This study examines the explosion of data-driven applications utilizing Artificial Intelligence and Machine Learning in recent years and the myriads of ethical issues that have arisen and continue to evolve. The review focuses on ethics and…

• PDS - Architecture with AI Strategy and Sustainable Innovation for Digital Leaders
  Yoshimasa Masuda, Joseph Taylor, Jeff Angle, Jeffrey Word et al. · Journal of the Association ... · Aug 15, 2026

  AI strategies to support sustainable innovation are important factors in enterprises and are critical to supporting ecosystems. Rapid growth of AI technologies such as generative AI and Agentic AI can prompt a variety of responses and conce…

• The Ethical Boundaries of Emotion-Aware AI in Decision-Making Systems
  Martina Albarelli, David Eisenberg, Jorge Fresneda, Simone Marras · Journal of the Association ... · Aug 15, 2026

  Artificial intelligence (AI) is no longer limited to processing external data, but is increasingly embedded in decision-making processes across domains, from finance to consumer platforms. Advances in emotion-aware technologies enable AI sy…

• 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…

• Ethics Statements in AI Music Papers: The Effective and the Ineffective
  Julia 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…

• The ethico-politics of design toolkits: responsible AI tools, from big tech guidelines to feminist ideation cards
  Tomasz 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 Ethics
  Marcin 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…

• Democratizing value alignment: from authoritarian to democratic AI ethics
  Linus Ta-Lun Huang, Gleb Papyshev, James K. Wong · AI and Ethics · Feb 1, 2025

  Value alignment is essential for ensuring that AI systems act in ways that are consistent with human values. Existing approaches, such as reinforcement learning with human feedback and constitutional AI, however, exhibit power asymmetries a…

• Evaluating computational models of ethics for autonomous decision making
  Janvi Chhabra, Karthik Sama, Jayati Deshmukh, Srinath Srinivasa · AI Ethics 2025 · Jan 1, 2025

  Computational models for ethical autonomy, are crucial for building trustworthy autonomous systems. While different paradigms of ethical autonomy are pursued, comparing and contrasting these paradigms remains a challenge. In this work, we p…

• Democratizing value alignment: from authoritarian to democratic AI ethics
  Linus Ta-Lun Huang, Gleb Papyshev, James K. Wong · AI Ethics 2025 · Jan 1, 2025

  Value alignment is essential for ensuring that AI systems act in ways that are consistent with human values. Existing approaches, such as reinforcement learning with human feedback and constitutional AI, however, exhibit power asymmetries a…

• 'The purpose of a system is what it does, and science is a thing which people do': from AI epistemology to AI military ethics
  Zhanpei Fang · HRAIM Poster · Oct 14, 2024

  Drawing upon recent work on understanding the usage of machine learning for natural sciences research, I posit that the epistemic problems of ML have significant bearing upon concerns related to its deployment in a military context. In part…

• A principles-based ethics assurance argument pattern for AI and autonomous systems
  Zoë Porter, Ibrahim Habli, John A. McDermid, Marten H. L. Kaas · AI Ethics 2024 · Jan 1, 2024

  An assurance case is a structured argument, typically produced by safety engineers, to communicate confidence that a critical or complex system, such as an aircraft, will be acceptably safe within its intended context. Assurance cases often…

• Anthropocentrism and environmental wellbeing in AI ethics standards
  Eryn Rigley, Adriane Chapman, Christine Evers, Will Mcneill · AI · Dec 1, 2023

  As AI deployment has broadened, so too has an awareness for the ethical implications and problems that may ensue from this deployment. In response, groups across multiple domains have issued AI ethics standards that rely on vague, high-leve…

• AI Ethics Education for Scientists
  Savannah Jennifer Thais · NeurIPS2023-AI4Science Poster · Oct 28, 2023

  Machine learning (ML) and artificial intelligence (AI) are becoming core components of scientific research across fields. While there are increasingly formal and informal domain-specific learning opportunities for students and early career …

• Trust and ethics in AI
  Hyesun Choung, Prabu David, Arun Ross · AI Soc. 2023 · Jan 1, 2023

  With the growing influence of artificial intelligence (AI) in our lives, the ethical implications of AI have received attention from various communities. Building on previous work on trust in people and technology, we advance a multidimensi…

• Putting AI ethics to work: are the tools fit for purpose?
  Jacqui Ayling, Adriane Chapman · AI and Ethics · Aug 1, 2022

  Bias, unfairness and lack of transparency and accountability in Artificial Intelligence (AI) systems, and the potential for the misuse of predictive models for decision-making have raised concerns about the ethical impact and unintended con…

• Putting AI ethics to work: are the tools fit for purpose?
  Jacqui Ayling, Adriane Chapman · AI Ethics 2022 · Jan 1, 2022

  Bias, unfairness and lack of transparency and accountability in Artificial Intelligence (AI) systems, and the potential for the misuse of predictive models for decision-making have raised concerns about the ethical impact and unintended con…