SOTAVerified

Ethics

Papers

Showing 326–350 of 832 papers

TitleStatusHype
Ethics of Artificial Intelligence in Surgery—0
Ethics of Generating Synthetic MRI Vocal Tract Views from the Face—0
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models—0
Enhancing Template Security of Face Biometrics by Using Edge Detection and Hashing—0
Enactive Artificial Intelligence: Subverting Gender Norms in Robot-Human Interaction—0
Ethics Sheets for AI Tasks—0
Automated Driving Without Ethics: Meaning, Design and Real-World Implementation—0
Evaluating corpora documentation with regards to the Ethics and Big Data Charter—0
Evaluating the Economic Implications of Using Machine Learning in Clinical Psychiatry—0
Evaluation Ethics of LLMs in Legal Domain—0
Evaluation Framework for AI Systems in "the Wild"—0
Exosoul: ethical profiling in the digital world—0
Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditions—0
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities—0
Explainable Reinforcement Learning on Financial Stock Trading using SHAP—0
Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity—0
Embracing the Generative AI Revolution: Advancing Tertiary Education in Cybersecurity with GPT—0
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning—0
Exploring Moral Exercises for Human Oversight of AI systems: Insights from Three Pilot Studies—0
Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT—0
Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines—0
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications—0
FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?—0
Fair Kernel Learning—0
A Universal Knowledge Model and Cognitive Architecture for Prototyping AGI—0
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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