SOTAVerified

Ethics

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 832 papers

TitleStatusHype
Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and ClaudeCode0
Beyond Labels: Aligning Large Language Models with Human-like ReasoningCode0
AI Identity, Empowerment, and Mindfulness in Mitigating Unethical AI Use—0
AI-HRI 2021 Proceedings—0
A Free and Fair Economy: A Game of Justice and Inclusion—0
AI Governance for Businesses—0
Artificial Intelligence Governance and Ethics: Global Perspectives—0
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing—0
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems—0
Artificial Intelligence Ethics Education in Cybersecurity: Challenges and Opportunities: a focus group report—0
Artificial Intelligence and the Dual Paradoxes: Examining the Interplay of Efficiency, Resource Consumption, and Labor Dynamics—0
AI For Global Climate Cooperation 2023 Competition Proceedings—0
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions—0
Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina—0
Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Prompts—0
AI Fairness in Practice—0
Argumentation Synthesis following Rhetorical Strategies—0
Artificial intelligence for Sustainable Energy: A Contextual Topic Modeling and Content Analysis—0
A Review of the Ethics of Artificial Intelligence and its Applications in the United States—0
Artificial Intelligence Studies in Cartography: A Review and Synthesis of Methods, Applications, and Ethics—0
Artificial Intelligence: the global landscape of ethics guidelines—0
Artificial virtuous agents in a multiagent tragedy of the commons—0
A short review of the main concerns in A.I. development and application within the public sector supported by NLP and TM—0
A Societal Sentiment Analysis: Predicting the Values and Ethics of Individuals by Analysing Social Media Content—0
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability—0
Assessing the Auditability of AI-integrating Systems: A Framework and Learning Analytics Case Study—0
Principles alone cannot guarantee ethical AI—0
A Framework for Fairer Machine Learning in Organizations—0
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks—0
A Blockchain-Enabled Approach to Cross-Border Compliance and Trust—0
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?—0
AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements—0
AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic—0
A Principles-based Ethics Assurance Argument Pattern for AI and Autonomous Systems—0
AI Ethics Principles in Practice: Perspectives of Designers and Developers—0
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches—0
Approaching Ethical Guidelines for Data Scientists—0
Approaches to the Anonymisation of Sign Language Corpora—0
Approaches to Responsible Governance of GenAI in Organizations—0
Applying Standards to Advance Upstream & Downstream Ethics in Large Language Models—0
AI Ethics Needs Good Data—0
A Fair and Ethical Healthcare Artificial Intelligence System for Monitoring Driver Behavior and Preventing Road Accidents—0
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources—0
Applications of Algorithmic Probability to the Philosophy of Mind—0
AI Ethics Issues in Real World: Evidence from AI Incident Database—0
Apolitical Intelligence? Auditing Delphi's responses on controversial political issues in the US—0
A Philosophy of Data—0
AI Ethics in Smart Healthcare—0
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain—0
A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach—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