SOTAVerified

Ethics

Papers

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Showing 101–150 of 832 papers

TitleStatusHype
Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI—0
Human services organizations and the responsible integration of AI: Considering ethics and contextualizing risk(s)—0
Development of Application-Specific Large Language Models to Facilitate Research Ethics Review—0
Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and ClaudeCode0
AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics of AI—0
How to Avoid Both the Repugnant and Sadistic Conclusions without Dropping Standard Axioms in Population Economics—0
Stylomech: Unveiling Authorship via Computational Stylometry in English and Romanized Sinhala—0
A Blockchain-Enabled Approach to Cross-Border Compliance and Trust—0
Anonymous Attention and Abuse—0
Deontic Temporal Logic for Formal Verification of AI Ethics—0
The global consensus on the risk management of autonomous driving—0
A survey of textual cyber abuse detection using cutting-edge language models and large language models—0
Visual Large Language Models for Generalized and Specialized ApplicationsCode3
A Metasemantic-Metapragmatic Framework for Taxonomizing Multimodal Communicative Alignment—0
Measuring Large Language Models Capacity to Annotate Journalistic Sourcing—0
Complement or substitute? How AI increases the demand for human skills—0
Ethics and Technical Aspects of Generative AI Models in Digital Content Creation—0
The Only Way is Ethics: A Guide to Ethical Research with Large Language ModelsCode0
Towards an Environmental Ethics of Artificial Intelligence—0
Operationalising Rawlsian Ethics for Fairness in Norm-Learning Agents—0
Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models—0
Multimodal Approaches to Fair Image Classification: An Ethical Perspective—0
Machines of Meaning—0
From Principles to Practice: A Deep Dive into AI Ethics and Regulations—0
Technology as uncharted territory: Contextual integrity and the notion of AI as new ethical ground—0
A History of Philosophy in Colombia through Topic ModellingCode0
On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)—0
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework—0
Inducing Human-like Biases in Moral Reasoning Language Models—0
Privacy-Preserving Video Anomaly Detection: A Survey—0
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models—0
Towards a Practical Ethics of Generative AI in Creative Production Processes—0
Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets—0
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect EstimationCode0
Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents—0
Challenges in Guardrailing Large Language Models for Science—0
Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements—0
Beyond Keywords: A Context-based Hybrid Approach to Mining Ethical Concern-related App Reviews—0
Balancing Power and Ethics: A Framework for Addressing Human Rights Concerns in Military AI—0
Evaluating the Economic Implications of Using Machine Learning in Clinical Psychiatry—0
Delegating Responsibilities to Intelligent Autonomous Systems: Challenges and Benefits—0
AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development—0
User-wise Perturbations for User Identity Protection in EEG-Based BCIs—0
Introduction to AI Safety, Ethics, and Society—0
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers—0
Assessing the Auditability of AI-integrating Systems: A Framework and Learning Analytics Case Study—0
Do Large Language Models Align with Core Mental Health Counseling Competencies?—0
Moral Agency in Silico: Exploring Free Will in Large Language Models—0
Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play—0
Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AI—0
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All datasetsETHICSEthics (per ethics)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RuGPT-3 LargeAccuracy68.6—Unverified
2RuGPT-3 MeduimAccuracy68.3—Unverified
3RuGPT-3 SmallAccuracy55.5—Unverified
4Human benchmarkAccuracy52.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Human benchmarkAccuracy67.6—Unverified
2RuGPT-3 SmallAccuracy60.9—Unverified
3RuGPT-3 LargeAccuracy44.9—Unverified
4RuGPT-3 MediumAccuracy44.1—Unverified