SOTAVerified

Ethics

Papers

Showing 551600 of 832 papers

TitleStatusHype
Action Languages Based Actual Causality for Computational Ethics: a Sound and Complete Implementation in ASP0
InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy0
Interactive Model Cards: A Human-Centered Approach to Model Documentation0
Utilitarianism on the front lines: COVID-19, public ethics, and the "hidden assumption" problem0
The AI Index 2022 Annual Report0
State-of-the-art in Open-domain Conversational AI: A Survey0
Ethics Sheets for AI Tasks0
Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next0
Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence0
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability0
Metaethical Perspectives on 'Benchmarking' AI Ethics0
Leveraging Privacy Profiles to Empower Users in the Digital Society0
Exosoul: ethical profiling in the digital world0
A Principles-based Ethics Assurance Argument Pattern for AI and Autonomous Systems0
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems0
Robotic Speech Synthesis: Perspectives on Interactions, Scenarios, and Ethics0
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model MultiplicityCode0
Moral Dilemmas for Moral Machines0
Toward Ethical AIED0
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach0
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness0
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis0
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning0
Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics0
State of AI Ethics Report (Volume 6, February 2022)0
PrivPAS: A real time Privacy-Preserving AI System and applied ethics0
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models0
Technology Ethics in Action: Critical and Interdisciplinary Perspectives0
A Non-Expert's Introduction to Data Ethics for Mathematicians0
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active LearningCode0
Democratising Risk: In Search of a Methodology to Study Existential Risk0
Generation of Synthetic Rat Brain MRI scans with a 3D Enhanced Alpha-GAN0
Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities0
AI Ethics Principles in Practice: Perspectives of Designers and Developers0
Filling gaps in trustworthy development of AI0
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions0
Ethics and Creativity in Computer Vision0
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research0
A German Corpus of Reflective Sentences0
P4AI: Approaching AI Ethics through Principlism0
Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns0
Confucius, Cyberpunk and Mr. Science: Comparing AI ethics between China and the EU0
The MAIEI Learning Community Report0
A Word on Machine Ethics: A Response to Jiang et al. (2021)0
AI and Blackness: Towards moving beyond bias and representation0
AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements0
‘Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP0
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning0
COVID-19 Detection in Chest X-ray Images Using Swin-Transformer and Transformer in Transformer0
Designing Language Technologies for Social Good: The Road not Taken0
Show:102550
← PrevPage 12 of 17Next →

Benchmark Results

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