Cover Image

Moving beyond Principles: Identifying Actionable AI Fairness Practices

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Burtscher, Christoph, Dolata, Mateusz
Format:	Preprint
Published:	2026
Subjects:	Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Moving beyond privacy and airspace safety: Guidelines for just drones in policing
by: Dolata, Mateusz, et al.
Published: (2024)

Towards the Socio-Algorithmic Construction of Fairness: The Case of Automatic Price-Surging in Ride-Hailing
by: Dolata, Mateusz, et al.
Published: (2024)

A Survey of AI Reliance
by: Eckhardt, Sven, et al.
Published: (2024)

AI Fairness in Practice
by: Leslie, David, et al.
Published: (2024)

(Un)fair devices: Moving beyond AI accuracy in personal sensing
by: Yfantidou, Sofia, et al.
Published: (2023)

Practical Principles for AI Cost and Compute Accounting
by: Casper, Stephen, et al.
Published: (2025)

From Trust to Truth: Actionable policies for the use of AI in fact-checking in Germany and Ukraine
by: Solopova, Veronika
Published: (2025)

Lazy Data Practices Harm Fairness Research
by: Simson, Jan, et al.
Published: (2024)

AI Governance to Avoid Extinction: The Strategic Landscape and Actionable Research Questions
by: Barnett, Peter, et al.
Published: (2025)

Responsible Generative AI Use by Product Managers: Recoupling Ethical Principles and Practices
by: Smith, Genevieve, et al.
Published: (2025)

Moving beyond harm. A critical review of how NLP research approaches discrimination
by: Schulz, Katrin, et al.
Published: (2025)

Operations & Supply Chain Management: Principles and Practice
by: Petropoulos, Fotios, et al.
Published: (2025)

Fairness in Opinion Dynamics
by: Stępień, Stanisław, et al.
Published: (2026)

Making sense of AI systems development
by: Dolata, Mateusz, et al.
Published: (2024)

Open Data, Privacy, and Fair Information Principles: Towards a Balancing Framework
by: Borgesius, Frederik Zuiderveen, et al.
Published: (2025)

Integrating GenAI in Filmmaking: From Co-Creativity to Distributed Creativity
by: Masai, Pierluigi, et al.
Published: (2026)

Leveraging Large Language Models for Actionable Course Evaluation Student Feedback to Lecturers
by: Zhang, Mike, et al.
Published: (2024)

Situating Data Sets: Making Public Data Actionable for Housing Justice
by: Tran, Anh-Ton, et al.
Published: (2024)

FairAdapter: Detecting AI-generated Images with Improved Fairness
by: Ding, Feng, et al.
Published: (2024)

Disclosure and Evaluation as Fairness Interventions for General-Purpose AI
by: Raman, Vyoma, et al.
Published: (2025)

When Generative AI Meets Workplace Learning: Creating A Realistic & Motivating Learning Experience With A Generative PCA
by: Bucher, Andreas, et al.
Published: (2024)

Responsible Artificial Intelligence (RAI) in U.S. Federal Government : Principles, Policies, and Practices
by: Rawal, Atul, et al.
Published: (2025)

Fairness in AI: challenges in bridging the gap between algorithms and law
by: Giannopoulos, Giorgos, et al.
Published: (2024)

On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model
by: Scantamburlo, Teresa, et al.
Published: (2023)

From Principles to Rules: A Regulatory Approach for Frontier AI
by: Schuett, Jonas, et al.
Published: (2024)

Participatory Approaches in AI Development and Governance: A Principled Approach
by: Parthasarathy, Ambreesh, et al.
Published: (2024)

Thinking beyond Bias: Analyzing Multifaceted Impacts and Implications of AI on Gendered Labour
by: Mohla, Satyam, et al.
Published: (2024)

The Butterfly Effect in Artificial Intelligence Systems: Implications for AI Bias and Fairness
by: Ferrara, Emilio
Published: (2023)

AI Gender Bias, Disparities, and Fairness: Does Training Data Matter?
by: Latif, Ehsan, et al.
Published: (2023)

The AI Fairness Myth: A Position Paper on Context-Aware Bias
by: Nepomuceno, Kessia, et al.
Published: (2025)

Using Scenario-Writing for Identifying and Mitigating Impacts of Generative AI
by: Kieslich, Kimon, et al.
Published: (2024)

Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
by: Simson, Jan, et al.
Published: (2025)

From Principles to Practices: Lessons Learned from Applying Partnership on AI's (PAI) Synthetic Media Framework to 11 Use Cases
by: Leibowicz, Claire R., et al.
Published: (2024)

What's Distributive Justice Got to Do with It? Rethinking Algorithmic Fairness from the Perspective of Approximate Justice
by: Hertweck, Corinna, et al.
Published: (2024)

How to Assess Trustworthy AI in Practice
by: Zicari, Roberto V., et al.
Published: (2022)

Consumer Law for AI Agents
by: Busch, Christoph
Published: (2025)

The Benefits and Risks of Transductive Approaches for AI Fairness
by: Razzak, Muhammed, et al.
Published: (2024)

Ethical AI in Retail: Consumer Privacy and Fairness
by: Adanyin, Anthonette
Published: (2024)

AI for Just Work: Constructing Diverse Imaginations of AI beyond "Replacing Humans"
by: Jin, Weina, et al.
Published: (2025)

AI in Education: Rationale, Principles, and Instructional Implications
by: Elstad, Eyvind
Published: (2024)