SOTAVerified

Ethics

Papers

Showing 2650 of 832 papers

TitleStatusHype
Large Language Models to Identify Social Determinants of Health in Electronic Health RecordsCode1
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion modelsCode1
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI BenchmarkCode1
Synthetically generated text for supervised text analysisCode1
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-NCode1
Automated Kantian Ethics: A Faithful ImplementationCode1
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governanceCode1
Artificial Intelligence Ethics and Safety: practical tools for creating "good" modelsCode1
Can Machines Learn Morality? The Delphi ExperimentCode1
Ego4D: Around the World in 3,000 Hours of Egocentric VideoCode1
PASS: An ImageNet replacement for self-supervised pretraining without humansCode1
Ethics Sheet for Automatic Emotion Recognition and Sentiment AnalysisCode1
Ethics Sheets for AI TasksCode1
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word RepresentationsCode1
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANsCode1
Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life AnecdotesCode1
Deontological Ethics By Monotonicity Shape ConstraintsCode1
Teaching Software Engineering for AI-Enabled SystemsCode1
The Ethical Implications of AI in Creative Industries: A Focus on AI-Generated Art0
Feeling Machines: Ethics, Culture, and the Rise of Emotional AI0
Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics0
SocialCredit+0
"I Hadn't Thought About That": Creators of Human-like AI Weigh in on Ethics And Neurodivergence0
Extended Creativity: A Conceptual Framework for Understanding Human-AI Creative Relations0
MIRA: Medical Time Series Foundation Model for Real-World Health Data0
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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