SOTAVerified

Ethics

Papers

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Showing 201–250 of 832 papers

TitleStatusHype
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools—0
Why should we ever automate moral decision making?—0
PsycoLLM: Enhancing LLM for Psychological Understanding and EvaluationCode2
Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry—0
Some Issues in Predictive Ethics Modeling: An Annotated Contrast Set of "Moral Stories"Code0
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems—0
Language Model Alignment in Multilingual Trolley ProblemsCode1
Reinforcement Learning and Machine ethics:a systematic review—0
The African Woman is Rhythmic and Soulful: An Investigation of Implicit Biases in LLM Open-ended Text Generation—0
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest—0
AI Alignment through Reinforcement Learning from Human Feedback? Contradictions and Limitations—0
Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?—0
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing—0
Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting—0
Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective—0
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security—0
Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling Queer Voices—0
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models—0
Deception Analysis with Artificial Intelligence: An Interdisciplinary Perspective—0
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey—0
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models—0
MoralBench: Moral Evaluation of LLMsCode1
Ethical considerations of use of hold-out sets in clinical prediction model management—0
AI as Decision-Maker: Ethics and Risk Preferences of LLMs—0
Exploring and steering the moral compass of Large Language ModelsCode0
Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models—0
Generation of synthetic data using breast cancer dataset and classification with resnet18—0
Quelle éthique pour quelle IA ?—0
Toward Constraint Compliant Goal Formulation and Planning—0
Towards interactive evaluations for interaction harms in human-AI systems—0
Navigating LLM Ethics: Advancements, Challenges, and Future Directions—0
Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models—0
Large Language Model in Financial Regulatory Interpretation—0
Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines—0
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and LawCode2
Ethical Reasoning and Moral Value Alignment of LLMs Depend on the Language we Prompt them in—0
More RLHF, More Trust? On The Impact of Preference Alignment On TrustworthinessCode0
A Taxation Perspective for Fair Re-rankingCode0
Modeling the Sacred: Considerations when Using Religious Texts in Natural Language Processing—0
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap—0
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law—0
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback—0
Modeling Emotions and Ethics with Large Language ModelsCode0
Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents—0
Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems—0
Designing for Human-Agent Alignment: Understanding what humans want from their agents—0
Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for ImplementationCode0
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness—0
Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls—0
Search and Society: Reimagining Information Access for Radical Futures—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