SOTAVerified

Ethics

Papers

Showing 501–525 of 832 papers

TitleStatusHype
AI Ethics in Smart Healthcare—0
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report—0
On the Efficiency of Ethics as a Governing Tool for Artificial Intelligence—0
TAPE: Assessing Few-shot Russian Language UnderstandingCode0
Trustworthy Human Computation: A Survey—0
Ethics for Digital Medicine: A Path for Ethical Emerging Medical IoT Design—0
Best Practices in the Creation and Use of Emotion Lexicons—0
Considerations for Task Allocation in Human-Robot Teams—0
Artificial virtuous agents in a multiagent tragedy of the commons—0
A Human Rights-Based Approach to Responsible AI—0
Social Norms-Grounded Machine Ethics in Complex Narrative Situation—0
Can segmentation models be trained with fully synthetically generated data?—0
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering—0
Making Intelligence: Ethical Values in IQ and ML Benchmarks—0
Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning—0
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey—0
Atomist or Holist? A Diagnosis and Vision for More Productive Interdisciplinary AI Ethics Dialogue—0
Explainable Reinforcement Learning on Financial Stock Trading using SHAP—0
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
Let it RAIN for Social Good—0
Representational Ethical Model Calibration—0
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis—0
Can You Fool AI by Doing a 180? x2013 A Case Study on Authorship Analysis of Texts by Arata Osada—0
Homo economicus to model human behavior is ethically doubtful and mathematically inconsistent—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