SOTAVerified

Ethics

Papers

Showing 501525 of 832 papers

TitleStatusHype
Atomist or Holist? A Diagnosis and Vision for More Productive Interdisciplinary AI Ethics Dialogue0
Explainable Reinforcement Learning on Financial Stock Trading using SHAP0
A Framework for Understanding and Visualizing Strategies of RL AgentsCode0
Dürfen Maschinen denken (können)? Warum Künstliche Intelligenz eine Ethik braucht. (Are Machines Allowed to (be able to) Think? Why Artificial Intelligence Needs Ethics)0
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-NCode1
Let it RAIN for Social Good0
Representational Ethical Model Calibration0
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis0
Automated Kantian Ethics: A Faithful ImplementationCode1
Can You Fool AI by Doing a 180? x2013 A Case Study on Authorship Analysis of Texts by Arata Osada0
Homo economicus to model human behavior is ethically doubtful and mathematically inconsistent0
The subtle language of exclusion: Identifying the Toxic Speech of Trans-exclusionary Radical Feminists0
On the Machine Learning of Ethical Judgments from Natural Language0
The Cycle of Trust and Responsibility in Outsourced AI0
Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases0
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governanceCode1
A method for ethical AI in Defence: A case study on developing trustworthy autonomous systems0
The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning0
Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanations0
AI Ethics Issues in Real World: Evidence from AI Incident Database0
Don't "research fast and break things": On the ethics of Computational Social Science0
Resolving the Human Subjects Status of Machine Learning's Crowdworkers0
The Road to a Successful HRI: AI, Trust and ethicS-TRAITS0
Theorizing Information Sources for Hope: Belief, Desire, Imagination, and Metacognition0
The Algorithmic Imprint0
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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