Cover Image

Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Chao, Lu, Chaochao, Wang, Yingchun, Zhou, Bowen
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Far Are We From AGI: Are LLMs All We Need?
by: Feng, Tao, et al.
Published: (2024)

Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment
by: Sargeant, Holli, et al.
Published: (2024)

Rethinking Suicidal Ideation Detection: A Trustworthy Annotation Framework and Cross-Lingual Model Evaluation
by: Dzafic, Amina, et al.
Published: (2025)

Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
by: Dong, Zhichen, et al.
Published: (2024)

RePO: Replay-Enhanced Policy Optimization
by: Li, Siheng, et al.
Published: (2025)

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5
by: Liu, Dongrui, et al.
Published: (2026)

Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goals
by: Wu, Qingyang, et al.
Published: (2024)

Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy
by: Tang, Xiangru, et al.
Published: (2024)

HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
by: Liu, Haokun, et al.
Published: (2025)

Towards Lawful Autonomous Driving: Deriving Scenario-Aware Driving Requirements from Traffic Laws and Regulations
by: Jian, Bowen, et al.
Published: (2026)

An Approach to Technical AGI Safety and Security
by: Shah, Rohin, et al.
Published: (2025)

Frontier AI systems have surpassed the self-replicating red line
by: Pan, Xudong, et al.
Published: (2024)

Towards Autonomous Mathematics Research
by: Feng, Tony, et al.
Published: (2026)

Towards Efficient Neurally-Guided Program Induction for ARC-AGI
by: Ouellette, Simon
Published: (2024)

Health Insurance Coverage Rule Interpretation Corpus: Law, Policy, and Medical Guidance for Health Insurance Coverage Understanding
by: Gartner, Mike
Published: (2025)

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
by: Zhang, Yue, et al.
Published: (2023)

Heuristics and Biases in AI Decision-Making: Implications for Responsible AGI
by: Saeedi, Payam, et al.
Published: (2024)

The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems
by: Ren, Richard, et al.
Published: (2025)

RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models
by: Ding, Jiale, et al.
Published: (2025)

AI-AI Bias: large language models favor communications generated by large language models
by: Laurito, Walter, et al.
Published: (2024)

AI-University: An LLM-based platform for instructional alignment to scientific classrooms
by: Shojaei, Mostafa Faghih, et al.
Published: (2025)

Towards Best Practices for Open Datasets for LLM Training
by: Baack, Stefan, et al.
Published: (2025)

Towards Enriched Controllability for Educational Question Generation
by: Leite, Bernardo, et al.
Published: (2023)

How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare
by: Schroeder, Daniel Thilo, et al.
Published: (2025)

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
by: Joshi, Abhinav, et al.
Published: (2024)

Questionnaire Responses Do not Capture the Safety of AI Agents
by: Hellrigel-Holderbaum, Max, et al.
Published: (2026)

Understanding and Mitigating Risks of Generative AI in Financial Services
by: Gehrmann, Sebastian, et al.
Published: (2025)

Managing extreme AI risks amid rapid progress
by: Bengio, Yoshua, et al.
Published: (2023)

Know Thyself? On the Incapability and Implications of AI Self-Recognition
by: Bai, Xiaoyan, et al.
Published: (2025)

Prompt-Counterfactual Explanations for Generative AI System Behavior
by: Goethals, Sofie, et al.
Published: (2026)

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
by: Zhu, Zhaowei, et al.
Published: (2023)

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

AI Sandbagging: Language Models can Strategically Underperform on Evaluations
by: van der Weij, Teun, et al.
Published: (2024)

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance
by: Imperial, Joseph Marvin, et al.
Published: (2025)

Impacts of Racial Bias in Historical Training Data for News AI
by: Bhargava, Rahul, et al.
Published: (2025)

AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy
by: Schoenegger, Philipp, et al.
Published: (2024)

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
by: Ren, Richard, et al.
Published: (2024)

Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model
by: Shao, Mingchen, et al.
Published: (2025)

Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
by: Song, Kefan, et al.
Published: (2025)

Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategies
by: Meguellati, Elyas, et al.
Published: (2025)