SOTAVerified

Ethics

Papers

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Showing 501–550 of 832 papers

TitleStatusHype
‘Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP—0
Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art—0
Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics—0
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness—0
Keynote Abstract: Machine Learning in Conflict Studies: Reflections on Ethics, Collaboration, and Ongoing Challenges—0
Landscape of Machine Implemented Ethics—0
Large Language Model in Financial Regulatory Interpretation—0
Large-scale Reinforcement Learning for Diffusion Models—0
Learning Human-like Representations to Enable Learning Human Values—0
Hybrid Approaches for Moral Value Alignment in AI Agents: a Manifesto—0
Legal and Ethical Challenges in Recording Air Traffic Control Speech—0
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies—0
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning—0
Let it RAIN for Social Good—0
Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment about ChatGPT—0
Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls—0
Leveraging Privacy Profiles to Empower Users in the Digital Society—0
Liability, Ethics, and Culture-Aware Behavior Specification using Rulebooks—0
Like a Researcher Stating Broader Impact For the Very First Time—0
Linguistic Legal Concept Extraction in Portuguese—0
LLMs grasp morality in concept—0
Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons—0
Logic Programming and Machine Ethics—0
LOKA Protocol: A Decentralized Framework for Trustworthy and Ethical AI Agent Ecosystems—0
Machine Intelligence in Africa: a survey—0
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness—0
Machine Learning practices and infrastructures—0
Machines of Meaning—0
MAILS -- Meta AI Literacy Scale: Development and Testing of an AI Literacy Questionnaire Based on Well-Founded Competency Models and Psychological Change- and Meta-Competencies—0
Making Intelligence: Ethical Values in IQ and ML Benchmarks—0
Making Responsible AI the Norm rather than the Exception—0
Mammalian Value Systems—0
Mapping ChatGPT in Mainstream Media to Unravel Jobs and Diversity Challenges: Early Quantitative Insights through Sentiment Analysis and Word Frequency Analysis—0
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review—0
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice—0
Mathematical decisions and non-causal elements of explainable AI—0
Measure of Morality: A Mathematical Theory of Egalitarian Ethics—0
Measuring Ethics in AI with AI: A Methodology and Dataset Construction—0
Measuring Large Language Models Capacity to Annotate Journalistic Sourcing—0
MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications—0
Metaethical Perspectives on 'Benchmarking' AI Ethics—0
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys—0
Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors—0
Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning—0
Mind Control as a Guide for the Mind—0
MinorBench: A hand-built benchmark for content-based risks for children—0
MIRA: Medical Time Series Foundation Model for Real-World Health Data—0
Modeling the Sacred: Considerations when Using Religious Texts in Natural Language Processing—0
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance—0
Moral Agency in Silico: Exploring Free Will in Large Language Models—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