SOTAVerified

Ethics

Papers

Showing 351375 of 832 papers

TitleStatusHype
Automated Driving Without Ethics: Meaning, Design and Real-World Implementation0
Fairness in Agentic AI: A Unified Framework for Ethical and Equitable Multi-Agent System0
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions0
FarsEval-PKBETS: A new diverse benchmark for evaluating Persian large language models0
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities0
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading0
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security0
Federated learning, ethics, and the double black box problem in medical AI0
Feeling Machines: Ethics, Culture, and the Rise of Emotional AI0
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 AI0
Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review0
First, Do No Harm: Algorithms, AI, and Digital Product Liability0
Formalizing Preference Utilitarianism in Physical World Models0
Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI0
Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey0
Embracing the Generative AI Revolution: Advancing Tertiary Education in Cybersecurity with GPT0
From Efficiency to Equity: Measuring Fairness in Preference Learning0
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning0
From Principles to Practice: A Deep Dive into AI Ethics and Regulations0
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices0
Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents0
Future Intelligent Autonomous Robots, Ethical by Design. Learning from Autonomous Cars Ethics0
Future of work: ethics0
A Universal Knowledge Model and Cognitive Architecture for Prototyping AGI0
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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