:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Chia-Yuan, Curtis, Frank E., Robinson, Daniel P.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computers and Society Optimization and Control G.1.6; I.2.0; C.2.4; K.4.1
Online Access:	https://arxiv.org/abs/2409.09532
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncovering Bugs in Formal Explainers: A Case Study with PyXAI
by: Huang, Xuanxiang, et al.
Published: (2025)

LLM-FACETS: A Privacy-Preserving Framework for Evaluating LLM Transparency and Accountability
by: Lucas, Tom, et al.
Published: (2026)

A Three Steps Methodological Approach to Legal Governance Validation
by: Casanovas, Pompeu, et al.
Published: (2024)

"What Is It That You Don't Understand?" Language Games and Black Box Algorithms
by: Demichelis, Remy
Published: (2026)

Policy Cards: Machine-Readable Runtime Governance for Autonomous AI Agents
by: Mavračić, Juraj
Published: (2025)

Privacy in the Age of AI: A Taxonomy of Data Risks
by: Billiris, Grace, et al.
Published: (2025)

AI-Augmented Science and the New Institutional Scarcities
by: Lovén, Lauri
Published: (2026)

The Feasibility of Training Sovereign Language Models in the Global South: A Study of Brazil and Mexico
by: Malagon, Sandra, et al.
Published: (2025)

Generative AI and the Future of the Digital Commons: Five Open Questions and Knowledge Gaps
by: Noroozian, Arman, et al.
Published: (2025)

Modeling Fairness in Recruitment AI via Information Flow
by: Brännström, Mattias, et al.
Published: (2025)

From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias
by: Liu, Yizhi, et al.
Published: (2025)

Integration of Contextual Descriptors in Ontology Alignment for Enrichment of Semantic Correspondence
by: Manziuk, Eduard, et al.
Published: (2024)

X-NegoBox: An Explainable Privacy-Budget Negotiation Framework for Secure Peer-to-Peer Energy Data Exchange
by: Sengupta, Poushali, et al.
Published: (2026)

Beyond Imperfect Alternatives with Rulemapping: A Neuro-Symbolic Case Study on Online Hate Speech
by: von Cossel, Oskar
Published: (2026)

How Worrying Are Privacy Attacks Against Machine Learning?
by: Domingo-Ferrer, Josep
Published: (2025)

The Company You Keep: How LLMs Respond to Dark Triad Traits
by: Lu, Zeyi, et al.
Published: (2026)

Why we need an AI-resilient society
by: Bartz-Beielstein, Thomas
Published: (2019)

AI Narrative Breakdown. A Critical Assessment of Power and Promise
by: Rehak, Rainer
Published: (2026)

A SHACL-based Data Consistency Solution for Contract Compliance Verification (Extended Paper)
by: David, Robert, et al.
Published: (2025)

Physiological Data: Challenges for Privacy and Ethics
by: Davis, Keith, et al.
Published: (2024)

The Post-Turing Condition: Conceptualising Artificial Subjectivity and Synthetic Sociality
by: Jelinek, Thorsten, et al.
Published: (2026)

The Language Labyrinth: Constructive Critique on the Terminology Used in the AI Discourse
by: Rehak, Rainer
Published: (2023)

Institutions for the Post-Scarcity of Judgment
by: Lovén, Lauri
Published: (2026)

Strategies to Counter Artificial Intelligence in Law Enforcement: Cross-Country Comparison of Citizens in Greece, Italy and Spain
by: Bayerl, Petra Saskia, et al.
Published: (2024)

Evaluating AI-Enabled deception vulnerability amongst Sub-Saharan-Africa migrants
by: Oluwasanya, Deborah
Published: (2026)

Converting BPMN Diagrams to Privacy Calculus
by: Pitsiladis, Georgios V., et al.
Published: (2024)

Comparing Apples to Oranges: A Taxonomy for Navigating the Global Landscape of AI Regulation
by: Alanoca, Sacha, et al.
Published: (2025)

The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence
by: Slattery, Peter, et al.
Published: (2024)

AI Integrity: A New Paradigm for Verifiable AI Governance
by: Lee, Seulki
Published: (2026)

PRISM Risk Signal Framework: Hierarchy-Based Red Lines for AI Behavioral Risk
by: Lee, Seulki
Published: (2026)

Cognitive Atrophy and Systemic Collapse in AI-Dependent Software Engineering
by: Ginac, Frank
Published: (2026)

Argumentation and Machine Learning
by: Rago, Antonio, et al.
Published: (2024)

Beyond Symbolic Control: Societal Consequences of AI-Driven Workforce Displacement and the Imperative for Genuine Human Oversight Architectures
by: Mitchell, Richard J.
Published: (2026)

PAC-DP: Personalized Adaptive Clipping for Differentially Private Federated Learning
by: Zhou, Hao, et al.
Published: (2026)

Provably Correct Systems: Community, connections, and citations
by: Bowen, Jonathan P.
Published: (2015)

The Accountability Paradox: How Platform API Restrictions Undermine AI Transparency Mandates
by: Burnat, Florian A. D., et al.
Published: (2025)

Co-design for Trustworthy AI: An Interpretable and Explainable Tool for Type 2 Diabetes Prediction Using Genomic Polygenic Risk Scores
by: Beuthan, Ralf, et al.
Published: (2026)

Function Alignment: A New Theory of Mind and Intelligence, Part I: Foundations
by: Xia, Gus G.
Published: (2025)

Will Humanity Be Rendered Obsolete by AI?
by: Louadi, Mohamed El, et al.
Published: (2025)

A Field Guide to Decision Making
by: Arthur, Richard B.
Published: (2026)