SOTAVerified

Ethics

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 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
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems—0
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
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
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models—0
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey—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
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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