:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Peljto, Iman, Heilmann, Xenia, Cerrato, Mattia
Format:	Preprint
Published:	2026
Subjects:	Computers and Society
Online Access:	https://arxiv.org/abs/2606.02347
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rashomon Sets and Model Multiplicity in Federated Learning
by: Heilmann, Xenia, et al.
Published: (2026)

FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation
by: Heilmann, Xenia, et al.
Published: (2025)

From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation
by: Bui, Minh Duc, et al.
Published: (2026)

Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
by: Papademas, Michael, et al.
Published: (2025)

Understanding the Role of Algorithm Registers in AI Governance Through Comparative Analysis of China and the UK
by: Pi, Yulu, et al.
Published: (2026)

N-Parties Private Structure and Parameter Learning for Sum-Product Networks
by: Heilmann, Xenia, et al.
Published: (2025)

Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice
by: Bell, Andrew, et al.
Published: (2024)

Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau's Adoption of Differential Privacy
by: Abdu, Amina A., et al.
Published: (2024)

Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight
by: Chappidi, Shreya, et al.
Published: (2025)

Hidden in Plain Sight: Detecting Illicit Massage Businesses from Mobility Data
by: Shomali, Roya, et al.
Published: (2026)

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)

Bureaucratic Silences: What the Canadian AI Register Reveals, Omits, and Obscures
by: Das, Dipto, et al.
Published: (2026)

Prediction Laundering: The Illusion of Neutrality, Transparency, and Governance in Polymarket
by: Rohanifar, Yasaman, et al.
Published: (2026)

The Creation and Analysis of Government AI Transparency Statements in Australia
by: Pan, Shidong, et al.
Published: (2026)

Misinformation by Omission: The Need for More Environmental Transparency in AI
by: Luccioni, Sasha, et al.
Published: (2025)

OpenProposal Platform for Transparent Research Funding Review
by: Ahuja, Sakshi, et al.
Published: (2025)

From Pilots to Practices: A Scoping Review of GenAI-Enabled Personalization in Computer Science Education
by: Reihanian, Iman, et al.
Published: (2025)

IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures
by: Gringras, David
Published: (2026)

TAPAS: A Pattern-Based Approach to Assessing Government Transparency
by: Zuijderwijk, Jos, et al.
Published: (2025)

Transparency, Security, and Workplace Training & Awareness in the Age of Generative AI
by: Vaishnav, Lakshika, et al.
Published: (2024)

Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database
by: Kaushal, Rishabh, et al.
Published: (2024)

A Stateless Transparent Voting Machine
by: Gilbert, Juan E., et al.
Published: (2025)

Transparent Networks for Multivariate Time Series
by: Kim, Minkyu, et al.
Published: (2024)

Transparent and Fair Profiling in Employment Services: Evidence from Switzerland
by: Räz, Tim
Published: (2025)

Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges
by: Shastri, Ishana, et al.
Published: (2024)

A Review of Generative AI in Computer Science Education: Challenges and Opportunities in Accuracy, Authenticity, and Assessment
by: Reihanian, Iman, et al.
Published: (2025)

An Information-Flow Perspective on Algorithmic Fairness
by: Teuber, Samuel, et al.
Published: (2023)

SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
by: Li, Jing-Jing, et al.
Published: (2024)

Whose Personae? Synthetic Persona Experiments in LLM Research and Pathways to Transparency
by: Batzner, Jan, et al.
Published: (2025)

Beyond Privacy Trade-offs with Structured Transparency
by: Trask, Andrew, et al.
Published: (2020)

A Modular LLM-Agent System for Transparent Multi-Parameter Weather Interpretation
by: Sukhorukov, Daniil, et al.
Published: (2025)

Cost Transparency of Enterprise AI Adoption
by: Alavi, Soogand, et al.
Published: (2025)

Foundation Model Transparency Reports
by: Bommasani, Rishi, et al.
Published: (2024)

Building Trust: Foundations of Security, Safety and Transparency in AI
by: Sidhpurwala, Huzaifa, et al.
Published: (2024)

Towards Meaningful Transparency in Civic AI Systems
by: Murray-Rust, Dave, et al.
Published: (2025)

AI Transparency in Academic Search Systems: An Initial Exploration
by: Liu, Yifan, et al.
Published: (2024)

AI, Climate, and Transparency: Operationalizing and Improving the AI Act
by: Alder, Nicolas, et al.
Published: (2024)

PAIRED: A Process-Anchored Framework for Transparent Reporting of AI Contributions in Scientific Research
by: Al-Kabbany, Ahmad
Published: (2026)

AI-Enabled Rent-Seeking: How Generative AI Alters Market Transparency and Efficiency
by: Zhang, Yukun, et al.
Published: (2025)

A Room With an Overview: Towards Meaningful Transparency for the Consumer Internet of Things
by: Norval, Chris, et al.
Published: (2024)