Copertina

Statutory Construction and Interpretation for Artificial Intelligence

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	He, Luxi, Nadeem, Nimra, Liao, Michel, Chen, Howard, Chen, Danqi, Cuéllar, Mariano-Florentino, Henderson, Peter
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least Privilege
di: He, Luxi, et al.
Pubblicazione: (2025)

AI-Assisted Moot Courts: Simulating Justice-Specific Questioning in Oral Arguments
di: Zhang, Kylie, et al.
Pubblicazione: (2026)

Validity Arguments For Constructed Response Scoring Using Generative Artificial Intelligence Applications
di: Casabianca, Jodi M., et al.
Pubblicazione: (2025)

Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
di: Yu, Xiaomin, et al.
Pubblicazione: (2024)

The Third Ambition: Artificial Intelligence and the Science of Human Behavior
di: Neuman, W. Russell, et al.
Pubblicazione: (2026)

Explainability Through Systematicity: The Hard Systematicity Challenge for Artificial Intelligence
di: Queloz, Matthieu
Pubblicazione: (2025)

Artificial Intelligence Bias on English Language Learners in Automatic Scoring
di: Guo, Shuchen, et al.
Pubblicazione: (2025)

Artificial Intelligence in Brazilian News: A Mixed-Methods Analysis
di: Hernandes, Raphael, et al.
Pubblicazione: (2024)

COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
di: Guldimann, Philipp, et al.
Pubblicazione: (2024)

The Mirage of Artificial Intelligence Terms of Use Restrictions
di: Henderson, Peter, et al.
Pubblicazione: (2024)

Punctuated Equilibria in Artificial Intelligence: The Institutional Scaling Law and the Speciation of Sovereign AI
di: Baciak, Mark, et al.
Pubblicazione: (2026)

What is in Your Safe Data? Identifying Benign Data that Breaks Safety
di: He, Luxi, et al.
Pubblicazione: (2024)

Fantastic Copyrighted Beasts and How (Not) to Generate Them
di: He, Luxi, et al.
Pubblicazione: (2024)

Artificial Intelligence for All? Brazilian Teachers on Ethics, Equity, and the Everyday Challenges of AI in Education
di: Florentino, Bruno, et al.
Pubblicazione: (2025)

Intelligent Tutor: Leveraging ChatGPT and Microsoft Copilot Studio to Deliver a Generative AI Student Support and Feedback System within Teams
di: Chen, Wei-Yu
Pubblicazione: (2024)

Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese
di: Chen, Yuqi, et al.
Pubblicazione: (2024)

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
di: McIntosh, Timothy R., et al.
Pubblicazione: (2024)

Breaking Down Bias: On The Limits of Generalizable Pruning Strategies
di: Ma, Sibo, et al.
Pubblicazione: (2025)

Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
di: Mersha, Melkamu, et al.
Pubblicazione: (2024)

Interpretability Framework for LLMs in Undergraduate Calculus
di: Dakshit, Sagnik, et al.
Pubblicazione: (2025)

Mechanistic Interpretability of Socio-Political Frames in Language Models
di: Asghari, Hadi, et al.
Pubblicazione: (2025)

GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
di: Ferrara, Emilio
Pubblicazione: (2023)

Large Language Model-Based Knowledge Graph System Construction for Sustainable Development Goals: An AI-Based Speculative Design Perspective
di: Lin, Yi-De, et al.
Pubblicazione: (2025)

Attributions toward Artificial Agents in a modified Moral Turing Test
di: Aharoni, Eyal, et al.
Pubblicazione: (2024)

A Unified Framework to Quantify Cultural Intelligence of AI
di: Dev, Sunipa, et al.
Pubblicazione: (2026)

The Good, the Bad and the Constructive: Automatically Measuring Peer Review's Utility for Authors
di: Sadallah, Abdelrahman, et al.
Pubblicazione: (2025)

ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science
di: Wolfe, Robert, et al.
Pubblicazione: (2024)

Bridging Legal Interpretation and Formal Logic: Faithfulness, Assumption, and the Future of AI Legal Reasoning
di: Wang, Olivia Peiyu, et al.
Pubblicazione: (2026)

From Binary to Bilingual: How the National Weather Service is Using Artificial Intelligence to Develop a Comprehensive Translation Program
di: Trujillo-Falcon, Joseph E., et al.
Pubblicazione: (2025)

Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future
di: Li, Minzhi, et al.
Pubblicazione: (2024)

From Feature-Based Models to Generative AI: Validity Evidence for Constructed Response Scoring
di: Casabianca, Jodi M., et al.
Pubblicazione: (2026)

Interpreting Public Sentiment in Diplomacy Events: A Counterfactual Analysis Framework Using Large Language Models
di: Ouyang, Leyi
Pubblicazione: (2025)

Mapping Controversies Using Artificial Intelligence: An Analysis of the Hamas-Israel Conflict on YouTube
di: Lopez, Victor Manuel Hernandez, et al.
Pubblicazione: (2025)

Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference
di: Chen, Nuo, et al.
Pubblicazione: (2025)

From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape
di: McIntosh, Timothy R., et al.
Pubblicazione: (2023)

Measuring What Matters -- or What's Convenient?: Robustness of LLM-Based Scoring Systems to Construct-Irrelevant Factors
di: Walsh, Cole, et al.
Pubblicazione: (2026)

PersLLM: A Personified Training Approach for Large Language Models
di: Zeng, Zheni, et al.
Pubblicazione: (2024)

An evaluation of LLMs for political bias in Western media: Israel-Hamas and Ukraine-Russia wars
di: Chandra, Rohitash, et al.
Pubblicazione: (2026)

Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings
di: Radzikowski, Jakub, et al.
Pubblicazione: (2026)

Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration
di: Chen, Nuo, et al.
Pubblicazione: (2025)