Challenging the Human-in-the-loop in Algorithmic Decision-making
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Tschiatschek, Sebastian, Stamboliev, Eugenia, Schmude, Timothée, Coeckelbergh, Mark, Koesten, Laura |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions
par: Schmude, Timothée, et autres
Publié: (2024)
par: Schmude, Timothée, et autres
Publié: (2024)
Better Together? The Role of Explanations in Supporting Novices in Individual and Collective Deliberations about AI
par: Schmude, Timothée, et autres
Publié: (2024)
par: Schmude, Timothée, et autres
Publié: (2024)
FRInGe: Distribution-Space Integrated Gradients with Fisher--Rao Geometry
par: Martino, Gabriele, et autres
Publié: (2026)
par: Martino, Gabriele, et autres
Publié: (2026)
Two Means to an End Goal: Connecting Explainability and Contestability in the Regulation of Public Sector AI
par: Schmude, Timothée, et autres
Publié: (2025)
par: Schmude, Timothée, et autres
Publié: (2025)
Learning Safety Constraints from Demonstrations with Unknown Rewards
par: Lindner, David, et autres
Publié: (2023)
par: Lindner, David, et autres
Publié: (2023)
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement
par: Tappler, Martin, et autres
Publié: (2025)
par: Tappler, Martin, et autres
Publié: (2025)
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control
par: Hirt, Sebastian, et autres
Publié: (2024)
par: Hirt, Sebastian, et autres
Publié: (2024)
Plasticity Loss in Deep Reinforcement Learning: A Survey
par: Klein, Timo, et autres
Publié: (2024)
par: Klein, Timo, et autres
Publié: (2024)
Resource-Efficient Neural Networks for Embedded Systems
par: Roth, Wolfgang, et autres
Publié: (2020)
par: Roth, Wolfgang, et autres
Publié: (2020)
LLM-SAA: LLM-persona Generated Distributions for Decision-making
par: Baek, Jackie, et autres
Publié: (2026)
par: Baek, Jackie, et autres
Publié: (2026)
Algorithmic Challenges in Ensuring Fairness at the Time of Decision
par: Salem, Jad, et autres
Publié: (2021)
par: Salem, Jad, et autres
Publié: (2021)
WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making
par: Zhang, Zhilong, et autres
Publié: (2024)
par: Zhang, Zhilong, et autres
Publié: (2024)
Decision-making with Speculative Opponent Models
par: Sun, Jing, et autres
Publié: (2022)
par: Sun, Jing, et autres
Publié: (2022)
Statistical Tests for Replacing Human Decision Makers with Algorithms
par: Feng, Kai, et autres
Publié: (2023)
par: Feng, Kai, et autres
Publié: (2023)
Decision-making and control with diffractive optical networks
par: Qiu, Jumin, et autres
Publié: (2022)
par: Qiu, Jumin, et autres
Publié: (2022)
Breaking the Reclustering Barrier in Centroid-based Deep Clustering
par: Miklautz, Lukas, et autres
Publié: (2024)
par: Miklautz, Lukas, et autres
Publié: (2024)
eyeballvul: a future-proof benchmark for vulnerability detection in the wild
par: Chauvin, Timothee
Publié: (2024)
par: Chauvin, Timothee
Publié: (2024)
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning
par: Wang, Zixiang, et autres
Publié: (2024)
par: Wang, Zixiang, et autres
Publié: (2024)
Towards More Efficient, Robust, Instance-adaptive, and Generalizable Sequential Decision making
par: Wang, Zhiyong
Publié: (2025)
par: Wang, Zhiyong
Publié: (2025)
The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement from Clinical Decision-making Quality
par: Liu, Dou, et autres
Publié: (2025)
par: Liu, Dou, et autres
Publié: (2025)
Explaining and Improving Information Complementarities in Multi-Agent Decision-making
par: Guo, Ziyang, et autres
Publié: (2025)
par: Guo, Ziyang, et autres
Publié: (2025)
Expected Moral Shortfall for Ethical Competence in Decision-making Models
par: Aijaz, Aisha, et autres
Publié: (2026)
par: Aijaz, Aisha, et autres
Publié: (2026)
Learning Hyperplane Tree: A Piecewise Linear and Fully Interpretable Decision-making Framework
par: Li, Hongyi, et autres
Publié: (2025)
par: Li, Hongyi, et autres
Publié: (2025)
Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making
par: Li, Yueyuan, et autres
Publié: (2023)
par: Li, Yueyuan, et autres
Publié: (2023)
Double Fairness Policy Learning: Integrating Action Fairness and Outcome Fairness in Decision-making
par: Bian, Zeyu, et autres
Publié: (2026)
par: Bian, Zeyu, et autres
Publié: (2026)
Omissive Bias in Religious Representation: Benchmarking LLM Answers to Everyday Ethical Decision-making
par: Wingate, David, et autres
Publié: (2026)
par: Wingate, David, et autres
Publié: (2026)
Unpacking the Black Box: Regulating Algorithmic Decisions
par: Blattner, Laura, et autres
Publié: (2021)
par: Blattner, Laura, et autres
Publié: (2021)
Superfast Selection for Decision Tree Algorithms
par: Wang, Huaduo, et autres
Publié: (2024)
par: Wang, Huaduo, et autres
Publié: (2024)
Contrastive Concept-Tree Search for LLM-Assisted Algorithm Discovery
par: Leleu, Timothee, et autres
Publié: (2026)
par: Leleu, Timothee, et autres
Publié: (2026)
Understanding and Improving Hyperbolic Deep Reinforcement Learning
par: Klein, Timo, et autres
Publié: (2025)
par: Klein, Timo, et autres
Publié: (2025)
Improving Generalization by Permutation Routing Across Model Copies
par: Kashiwamura, Shuhei, et autres
Publié: (2026)
par: Kashiwamura, Shuhei, et autres
Publié: (2026)
DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy
par: Xu, Kaixuan, et autres
Publié: (2025)
par: Xu, Kaixuan, et autres
Publié: (2025)
Learning Decision Trees and Forests with Algorithmic Recourse
par: Kanamori, Kentaro, et autres
Publié: (2024)
par: Kanamori, Kentaro, et autres
Publié: (2024)
Introduction to the Analysis of Probabilistic Decision-Making Algorithms
par: Kristiadi, Agustinus
Publié: (2025)
par: Kristiadi, Agustinus
Publié: (2025)
Single-loop Algorithms for Stochastic Non-convex Optimization with Weakly-Convex Constraints
par: Yang, Ming, et autres
Publié: (2025)
par: Yang, Ming, et autres
Publié: (2025)
BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios
par: Yu, Liyang, et autres
Publié: (2025)
par: Yu, Liyang, et autres
Publié: (2025)
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs
par: Fan, Flint Xiaofeng, et autres
Publié: (2025)
par: Fan, Flint Xiaofeng, et autres
Publié: (2025)
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty
par: Hechinger, Katharina, et autres
Publié: (2023)
par: Hechinger, Katharina, et autres
Publié: (2023)
Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
par: Vishwakarma, Harit, et autres
Publié: (2024)
par: Vishwakarma, Harit, et autres
Publié: (2024)
Optimal Decision Tree Pruning Revisited: Algorithms and Complexity
par: Harviainen, Juha, et autres
Publié: (2025)
par: Harviainen, Juha, et autres
Publié: (2025)
Documents similaires
-
Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions
par: Schmude, Timothée, et autres
Publié: (2024) -
Better Together? The Role of Explanations in Supporting Novices in Individual and Collective Deliberations about AI
par: Schmude, Timothée, et autres
Publié: (2024) -
FRInGe: Distribution-Space Integrated Gradients with Fisher--Rao Geometry
par: Martino, Gabriele, et autres
Publié: (2026) -
Two Means to an End Goal: Connecting Explainability and Contestability in the Regulation of Public Sector AI
par: Schmude, Timothée, et autres
Publié: (2025) -
Learning Safety Constraints from Demonstrations with Unknown Rewards
par: Lindner, David, et autres
Publié: (2023)