What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem
Fuente:
arXiv
Saved in:
| Main Author: | Colmenares, Jose Alvarez |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action
by: Weerts, Hilde, et al.
Published: (2024)
by: Weerts, Hilde, et al.
Published: (2024)
The Limits of AI Data Transparency Policy: Three Disclosure Fallacies
by: Shen, Judy Hanwen, et al.
Published: (2026)
by: Shen, Judy Hanwen, et al.
Published: (2026)
What Is Actually Being Annotated? Inter-Prompt Reliability as a Measurement Problem in LLM-Based Social Science Labeling
by: Liu, Jingyuan
Published: (2026)
by: Liu, Jingyuan
Published: (2026)
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They Represent
by: Mickel, Jennifer
Published: (2024)
by: Mickel, Jennifer
Published: (2024)
Concrete Problems in AI Safety, Revisited
by: Raji, Inioluwa Deborah, et al.
Published: (2023)
by: Raji, Inioluwa Deborah, et al.
Published: (2023)
Analyizing the Conjunction Fallacy as a Fact
by: Veloz, Tomas, et al.
Published: (2024)
by: Veloz, Tomas, et al.
Published: (2024)
The Provenance Problem: LLMs and the Breakdown of Citation Norms
by: Earp, Brian D., et al.
Published: (2025)
by: Earp, Brian D., et al.
Published: (2025)
Culturally Responsive Artificial Intelligence -- Problems, Challenges and Solutions
by: Ożegalska-Łukasik, Natalia, et al.
Published: (2023)
by: Ożegalska-Łukasik, Natalia, et al.
Published: (2023)
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds
by: Bothmann, Ludwig, et al.
Published: (2022)
by: Bothmann, Ludwig, et al.
Published: (2022)
Model Routing as a Trust Problem: Route Receipts for Adaptive AI Systems
by: Schmalbach, Vincent
Published: (2026)
by: Schmalbach, Vincent
Published: (2026)
Mathematics Teachers Interactions with a Multi-Agent System for Personalized Problem Generation
by: Walkington, Candace, et al.
Published: (2026)
by: Walkington, Candace, et al.
Published: (2026)
Responsible Data Stewardship: Generative AI and the Digital Waste Problem
by: Utz, Vanessa
Published: (2025)
by: Utz, Vanessa
Published: (2025)
Evaluating Code Generation of LLMs in Advanced Computer Science Problems
by: Catir, Emir, et al.
Published: (2025)
by: Catir, Emir, et al.
Published: (2025)
Homoglyph-based Adversarial Perturbation of Introductory Computer Science Theory Problems
by: Alexander, Aidan, et al.
Published: (2026)
by: Alexander, Aidan, et al.
Published: (2026)
Reciprocal Trust and Distrust in Artificial Intelligence Systems: The Hard Problem of Regulation
by: Maggetti, Martino
Published: (2026)
by: Maggetti, Martino
Published: (2026)
Ten Hard Problems in Artificial Intelligence We Must Get Right
by: Leech, Gavin, et al.
Published: (2024)
by: Leech, Gavin, et al.
Published: (2024)
Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI
by: Nnamdi, Micky C., et al.
Published: (2025)
by: Nnamdi, Micky C., et al.
Published: (2025)
What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity
by: Kong, Youjin
Published: (2025)
by: Kong, Youjin
Published: (2025)
Cold Start Problem: An Experimental Study of Knowledge Tracing Models with New Students
by: Bhattacharjee, Indronil, et al.
Published: (2025)
by: Bhattacharjee, Indronil, et al.
Published: (2025)
Cognitive Agent Compilation for Explicit Problem Solver Modeling
by: Moon, Hyeongdon, et al.
Published: (2026)
by: Moon, Hyeongdon, et al.
Published: (2026)
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
by: Weerts, Hilde, et al.
Published: (2023)
by: Weerts, Hilde, et al.
Published: (2023)
Open Problems in Machine Unlearning for AI Safety
by: Barez, Fazl, et al.
Published: (2025)
by: Barez, Fazl, et al.
Published: (2025)
Why Machines Can't Be Moral: Turing's Halting Problem and the Moral Limits of Artificial Intelligence
by: Passamonti, Massimo
Published: (2024)
by: Passamonti, Massimo
Published: (2024)
The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety
by: Rios-Sialer, Ian
Published: (2026)
by: Rios-Sialer, Ian
Published: (2026)
The Double Contingency Problem: AI Recursion and the Limits of Interspecies Understanding
by: Bishop, Graham L.
Published: (2025)
by: Bishop, Graham L.
Published: (2025)
Specification, Application, and Operationalization of a Metamodel of Fairness
by: Mendez, Julian Alfredo, et al.
Published: (2025)
by: Mendez, Julian Alfredo, et al.
Published: (2025)
Agentic Literacy Debt: A Structural Problem the AI Literacy Field Has Not Yet Named
by: Nama, Rohith
Published: (2026)
by: Nama, Rohith
Published: (2026)
Exploring Societal Concerns and Perceptions of AI: A Thematic Analysis through the Lens of Problem-Seeking
by: Kayembe, Naomi Omeonga wa
Published: (2025)
by: Kayembe, Naomi Omeonga wa
Published: (2025)
Prompt Programming: A Platform for Dialogue-based Computational Problem Solving with Generative AI Models
by: Pădurean, Victor-Alexandru, et al.
Published: (2025)
by: Pădurean, Victor-Alexandru, et al.
Published: (2025)
The Manipulation Problem: Conversational AI as a Threat to Epistemic Agency
by: Rosenberg, Louis
Published: (2023)
by: Rosenberg, Louis
Published: (2023)
Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey
by: Fabris, Alessandro, et al.
Published: (2023)
by: Fabris, Alessandro, et al.
Published: (2023)
Designing AI-Resilient Assessments Using Interconnected Problems: A Theoretically Grounded and Empirically Validated Framework
by: Ding, Kaihua
Published: (2025)
by: Ding, Kaihua
Published: (2025)
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition
by: Gala, Dalia, et al.
Published: (2024)
by: Gala, Dalia, et al.
Published: (2024)
AI and the Problem of Knowledge Collapse
by: Peterson, Andrew J.
Published: (2024)
by: Peterson, Andrew J.
Published: (2024)
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
by: Deng, Zhihong, et al.
Published: (2024)
by: Deng, Zhihong, et al.
Published: (2024)
Tracing Mathematical Proficiency Through Problem-Solving Processes
by: Park, Jungyang, et al.
Published: (2025)
by: Park, Jungyang, et al.
Published: (2025)
AI Misuse in Education Is a Measurement Problem: Toward a Learning Visibility Framework
by: Davalos, Eduardo, et al.
Published: (2026)
by: Davalos, Eduardo, et al.
Published: (2026)
Toward Substantive Intersectional Algorithmic Fairness: Desiderata for a Feminist Approach
by: Mirsch, Marie, et al.
Published: (2025)
by: Mirsch, Marie, et al.
Published: (2025)
AI as a Tool for Fair Journalism: Case Studies from Malta
by: Seychell, Dylan, et al.
Published: (2024)
by: Seychell, Dylan, et al.
Published: (2024)
A Systems Thinking Approach to Algorithmic Fairness
by: Lam, Chris
Published: (2024)
by: Lam, Chris
Published: (2024)
Similar Items
-
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action
by: Weerts, Hilde, et al.
Published: (2024) -
The Limits of AI Data Transparency Policy: Three Disclosure Fallacies
by: Shen, Judy Hanwen, et al.
Published: (2026) -
What Is Actually Being Annotated? Inter-Prompt Reliability as a Measurement Problem in LLM-Based Social Science Labeling
by: Liu, Jingyuan
Published: (2026) -
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They Represent
by: Mickel, Jennifer
Published: (2024) -
Concrete Problems in AI Safety, Revisited
by: Raji, Inioluwa Deborah, et al.
Published: (2023)