SOTAVerified

Ethics

Papers

Showing 251300 of 832 papers

TitleStatusHype
Declarative Integration and Management of Large Language Models through Finite Automata: Application to Automation, Communication, and Ethics0
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression0
Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance0
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models0
A Human Rights-Based Approach to Responsible AI0
Actionable Approaches to Promote Ethical AI in Libraries0
Ethical considerations of use of hold-out sets in clinical prediction model management0
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond0
A Transparency Index Framework for AI in Education0
AI vs. Human Judgment of Content Moderation: LLM-as-a-Judge and Ethics-Based Response Refusals0
Academic Writing with GPT-3.5: Reflections on Practices, Efficacy and Transparency0
A toolkit of dilemmas: Beyond debiasing and fairness formulas for responsible AI/ML0
A Toolkit for Compliance, a Toolkit for Justice: Drawing on Cross-sectoral Expertise to Develop a Pro-justice EU AI Act Toolkit0
AI virtues -- The missing link in putting AI ethics into practice0
Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements0
Atomist or Holist? A Diagnosis and Vision for More Productive Interdisciplinary AI Ethics Dialogue0
AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics of AI0
A Critical Examination of the Ethics of AI-Mediated Peer Review0
Digital me ontology and ethics0
Digital Ethics in Federated Learning0
Asymmetric quantum decision-making0
Development of Application-Specific Large Language Models to Facilitate Research Ethics Review0
Detecting discriminatory risk through data annotation based on Bayesian inferences0
AITA Generating Moral Judgements of the Crowd with Reasoning0
Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?0
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning0
Do Large Language Models Align with Core Mental Health Counseling Competencies?0
Don't "research fast and break things": On the ethics of Computational Social Science0
Extended Creativity: A Conceptual Framework for Understanding Human-AI Creative Relations0
Dubito Ergo Sum: Exploring AI Ethics0
Dürfen Maschinen denken (können)? Warum Künstliche Intelligenz eine Ethik braucht. (Are Machines Allowed to (be able to) Think? Why Artificial Intelligence Needs Ethics)0
Dutch Comfort: The limits of AI governance through municipal registers0
Dynamic LLM Routing and Selection based on User Preferences: Balancing Performance, Cost, and Ethics0
Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets0
Educating a Responsible AI Workforce: Piloting a Curricular Module on AI Policy in a Graduate Machine Learning Course0
Educating for AI Cybersecurity Work and Research: Ethics, Systems Thinking, and Communication Requirements0
A Universal Knowledge Model and Cognitive Architecture for Prototyping AGI0
Ethical Considerations for AI Researchers0
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety0
Embracing the Generative AI Revolution: Advancing Tertiary Education in Cybersecurity with GPT0
Enactive Artificial Intelligence: Subverting Gender Norms in Robot-Human Interaction0
Enhancing Template Security of Face Biometrics by Using Edge Detection and Hashing0
Ensembles of GANs for synthetic training data generation0
e-person Architecture and Framework for Human-AI Co-adventure Relationship0
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Development0
Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations0
Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance0
Ethical AI Governance: Methods for Evaluating Trustworthy AI0
Designing Language Technologies for Social Good: The Road not Taken0
Designing for Human-Agent Alignment: Understanding what humans want from their agents0
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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