SOTAVerified

Ethics

Papers

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Showing 501–550 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
The Cycle of Trust and Responsibility in Outsourced AI—0
On the Machine Learning of Ethical Judgments from Natural Language—0
The subtle language of exclusion: Identifying the Toxic Speech of Trans-exclusionary Radical Feminists—0
Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases—0
A method for ethical AI in Defence: A case study on developing trustworthy autonomous systems—0
Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanations—0
The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning—0
AI Ethics Issues in Real World: Evidence from AI Incident Database—0
Don't "research fast and break things": On the ethics of Computational Social Science—0
Resolving the Human Subjects Status of Machine Learning's Crowdworkers—0
The Road to a Successful HRI: AI, Trust and ethicS-TRAITS—0
Theorizing Information Sources for Hope: Belief, Desire, Imagination, and Metacognition—0
The Algorithmic Imprint—0
Ethical Issues in Language Resources and Language Technology – Tentative Categorisation—0
Legal and Ethical Challenges in Recording Air Traffic Control Speech—0
Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance—0
Sentiment Analysis and Topic Modeling for Public Perceptions of Air Travel: COVID Issues and Policy Amendments—0
What are People Talking about in #BlackLivesMatter and #StopAsianHate? Exploring and Categorizing Twitter Topics Emerging in Online Social Movements through the Latent Dirichlet Allocation ModelCode0
Prismal view of ethics—0
The risk ethics of autonomous vehicles: a continuous trolley problem in regular road traffic—0
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels—0
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis—0
Towards a multi-stakeholder value-based assessment framework for algorithmic systemsCode0
A Transparency Index Framework for AI in Education—0
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches—0
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All datasetsETHICSEthics (per ethics)

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