SOTAVerified

Ethics

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 832 papers

TitleStatusHype
Yes, We Care! Results of the Ethics and Natural Language Processing Surveys—0
Exploring ChatGPT and its Impact on Society—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
Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy—0
Fairness in machine learning: against false positive rate equality as a measure of fairness—0
Fairness in Agentic AI: A Unified Framework for Ethical and Equitable Multi-Agent System—0
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions—0
FarsEval-PKBETS: A new diverse benchmark for evaluating Persian large language models—0
FATE in AI: Towards Algorithmic Inclusivity and Accessibility—0
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading—0
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security—0
Federated learning, ethics, and the double black box problem in medical AI—0
Feeling Machines: Ethics, Culture, and the Rise of Emotional AI—0
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
Filling gaps in trustworthy development of AI—0
Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review—0
First, Do No Harm: Algorithms, AI, and Digital Product Liability—0
Formalizing Preference Utilitarianism in Physical World Models—0
Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI—0
Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey—0
From Algorithmic Black Boxes to Adaptive White Boxes: Declarative Decision-Theoretic Ethical Programs as Codes of Ethics—0
From Efficiency to Equity: Measuring Fairness in Preference Learning—0
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap—0
From Principles to Practice: A Deep Dive into AI Ethics and Regulations—0
From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices—0
Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents—0
Future Intelligent Autonomous Robots, Ethical by Design. Learning from Autonomous Cars Ethics—0
Future of work: ethics—0
Gatekeeping Algorithms with Human Ethical Bias: The ethics of algorithms in archives, libraries and society—0
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report—0
Gender Representation in Open Source Speech Resources—0
Generation of synthetic data using breast cancer dataset and classification with resnet18—0
Generation of Synthetic Rat Brain MRI scans with a 3D Enhanced Alpha-GAN—0
Generative AI Carries Non-Democratic Biases and Stereotypes: Representation of Women, Black Individuals, Age Groups, and People with Disability in AI-Generated Images across Occupations—0
Generative AI for Requirements Engineering: A Systematic Literature Review—0
Generative AI for Software Architecture. Applications, Trends, Challenges, and Future Directions—0
Generative AI in Education: Student Skills and Lecturer Roles—0
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist—0
Generative Artificial Intelligence in Higher Education: Evidence from an Analysis of Institutional Policies and Guidelines—0
Giving AI a voice: how does AI think it should be treated?—0
Goal Conflict in Designing an Autonomous Artificial System—0
Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies—0
Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment—0
HADA: Human-AI Agent Decision Alignment Architecture—0
Health Digital Twins Supported by Artificial Intelligence-based Algorithms and Extended Reality in Cardiology—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