Copertina

Abstaining Machine Learning -- Philosophical Considerations

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Schuster, Daniela
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Do not Abstain! Identify and Solve the Uncertainty
di: Liu, Jingyu, et al.
Pubblicazione: (2025)

Interpretable and Fair Mechanisms for Abstaining Classifiers
di: Lenders, Daphne, et al.
Pubblicazione: (2025)

When Silence Is Golden: Can LLMs Learn to Abstain in Temporal QA and Beyond?
di: Zhou, Xinyu, et al.
Pubblicazione: (2026)

The Confidence Gate Theorem: When Should Ranked Decision Systems Abstain?
di: Doku, Ronald
Pubblicazione: (2026)

Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty
di: Machcha, Sravanthi, et al.
Pubblicazione: (2026)

Know When to Abstain: Optimal Selective Classification with Likelihood Ratios
di: Heng, Alvin, et al.
Pubblicazione: (2025)

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
di: Sun, Yuxi, et al.
Pubblicazione: (2025)

Teaching LLMs to Abstain via Fine-Grained Semantic Confidence Reward
di: An, Hao, et al.
Pubblicazione: (2025)

Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation
di: Baan, Joris, et al.
Pubblicazione: (2026)

Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL
di: Zhai, Skylar, et al.
Pubblicazione: (2026)

Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions
di: Liu, Junzhang, et al.
Pubblicazione: (2024)

Making AI Intelligible: Philosophical Foundations
di: Cappelen, Herman, et al.
Pubblicazione: (2024)

Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems
di: Schneider, Helen, et al.
Pubblicazione: (2024)

Philosophical Specification of Empathetic Ethical Artificial Intelligence
di: Bennett, Michael Timothy, et al.
Pubblicazione: (2021)

The Philosophical Foundations of Growing AI Like A Child
di: Luo, Dezhi, et al.
Pubblicazione: (2025)

Understanding XAI Through the Philosopher's Lens: A Historical Perspective
di: Mattioli, Martina, et al.
Pubblicazione: (2024)

Going Whole Hog: A Philosophical Defense of AI Cognition
di: Cappelen, Herman, et al.
Pubblicazione: (2025)

Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair
di: Cambronero, José, et al.
Pubblicazione: (2025)

Symmetry Considerations for Learning Task Symmetric Robot Policies
di: Mittal, Mayank, et al.
Pubblicazione: (2024)

Practical Considerations for Agentic LLM Systems
di: Sypherd, Chris, et al.
Pubblicazione: (2024)

Fairness of Automatic Speech Recognition: Looking Through a Philosophical Lens
di: Choi, Anna Seo Gyeong, et al.
Pubblicazione: (2025)

Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empirical Study
di: Bansal, Kaushal
Pubblicazione: (2026)

Selective Use of Yannakakis' Algorithm to Improve Query Performance: Machine Learning to the Rescue
di: Böhm, Daniela, et al.
Pubblicazione: (2025)

The Philosophic Turn for AI Agents: Replacing centralized digital rhetoric with decentralized truth-seeking
di: Koralus, Philipp
Pubblicazione: (2025)

Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence
di: Corsi, Giulio, et al.
Pubblicazione: (2024)

Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Medicine, Policy, Physics and Engineering
di: Naser, M. Z.
Pubblicazione: (2022)

Evaluating LLM-Based Translation of a Low-Resource Technical Language: The Medical and Philosophical Greek of Galen
di: Zainaldin, James L., et al.
Pubblicazione: (2026)

Evolution and The Knightian Blindspot of Machine Learning
di: Lehman, Joel, et al.
Pubblicazione: (2025)

Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
di: Mamaghan, Amir Mohammad Karimi, et al.
Pubblicazione: (2024)

Trustworthiness of Legal Considerations for the Use of LLMs in Education
di: Alaswad, Sara, et al.
Pubblicazione: (2025)

Design Considerations in Offline Preference-based RL
di: Agarwal, Alekh, et al.
Pubblicazione: (2025)

A Philosophical Introduction to Language Models -- Part I: Continuity With Classic Debates
di: Millière, Raphaël, et al.
Pubblicazione: (2024)

Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning
di: Chen, Dillon Z., et al.
Pubblicazione: (2024)

Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Power
di: LaCroix, Travis, et al.
Pubblicazione: (2026)

Autonomous Alignment with Human Value on Altruism through Considerate Self-imagination and Theory of Mind
di: Tong, Haibo, et al.
Pubblicazione: (2024)

Grid-Based Projection of Spatial Data into Knowledge Graphs
di: Anjomshoaa, Amin, et al.
Pubblicazione: (2024)

Estimating Probabilities of Causation with Machine Learning Models
di: Wang, Shuai, et al.
Pubblicazione: (2025)

(Neural-Symbolic) Machine Learning for Inconsistency Measurement
di: Weinzierl, Sven, et al.
Pubblicazione: (2025)

More Consideration for the Perceptron
di: Larabi, Slimane
Pubblicazione: (2024)

Beyond Release: Access Considerations for Generative AI Systems
di: Solaiman, Irene, et al.
Pubblicazione: (2025)