SOTAVerified

Ethics

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–575 of 832 papers

TitleStatusHype
A Principles-based Ethics Assurance Argument Pattern for AI and Autonomous Systems—0
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems—0
Robotic Speech Synthesis: Perspectives on Interactions, Scenarios, and Ethics—0
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model MultiplicityCode0
Moral Dilemmas for Moral Machines—0
Toward Ethical AIED—0
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach—0
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness—0
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis—0
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning—0
Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics—0
State of AI Ethics Report (Volume 6, February 2022)—0
PrivPAS: A real time Privacy-Preserving AI System and applied ethics—0
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models—0
Technology Ethics in Action: Critical and Interdisciplinary Perspectives—0
A Non-Expert's Introduction to Data Ethics for Mathematicians—0
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active LearningCode0
Democratising Risk: In Search of a Methodology to Study Existential Risk—0
Generation of Synthetic Rat Brain MRI scans with a 3D Enhanced Alpha-GAN—0
Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities—0
Filling gaps in trustworthy development of AI—0
Artificial Intelligence Ethics and Safety: practical tools for creating "good" modelsCode1
AI Ethics Principles in Practice: Perspectives of Designers and Developers—0
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions—0
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Show:102550
← PrevPage 23 of 34Next →
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