SOTAVerified

Ethics

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 832 papers

TitleStatusHype
Designing drug regimens that mitigate nonadherence—0
Fairness in Agentic AI: A Unified Framework for Ethical and Equitable Multi-Agent System—0
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions—0
FarsEval-PKBETS: A new diverse benchmark for evaluating Persian large language models—0
FATE in AI: Towards Algorithmic Inclusivity and Accessibility—0
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading—0
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security—0
Federated learning, ethics, and the double black box problem in medical AI—0
Feeling Machines: Ethics, Culture, and the Rise of Emotional AI—0
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
Filling gaps in trustworthy development of AI—0
Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review—0
First, Do No Harm: Algorithms, AI, and Digital Product Liability—0
Formalizing Preference Utilitarianism in Physical World Models—0
Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI—0
Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey—0
Descriptive AI Ethics: Collecting and Understanding the Public Opinion—0
From Efficiency to Equity: Measuring Fairness in Preference Learning—0
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap—0
From Principles to Practice: A Deep Dive into AI Ethics and Regulations—0
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices—0
Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents—0
Future Intelligent Autonomous Robots, Ethical by Design. Learning from Autonomous Cars Ethics—0
Future of work: ethics—0
Deontic Temporal Logic for Formal Verification of AI Ethics—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