SOTAVerified

Ethics

Papers

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Showing 251–300 of 832 papers

TitleStatusHype
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
Deception Analysis with Artificial Intelligence: An Interdisciplinary Perspective—0
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models—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
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
Generation of synthetic data using breast cancer dataset and classification with resnet18—0
Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models—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
More RLHF, More Trust? On The Impact of Preference Alignment On TrustworthinessCode0
Ethical Reasoning and Moral Value Alignment of LLMs Depend on the Language we Prompt them in—0
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
Search and Society: Reimagining Information Access for Radical Futures—0
Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls—0
Ethical considerations when planning, implementing and releasing health economic model software: a new proposal—0
Towards a Formalisation of Value-based Actions and Consequentialist Ethics—0
Specifying Agent Ethics (Blue Sky Ideas)—0
The Ethics of AI in Education—0
Antisocial Analagous Behavior, Alignment and Human Impact of Google AI Systems: Evaluating through the lens of modified Antisocial Behavior Criteria by Human Interaction, Independent LLM Analysis, and AI Self-Reflection—0
Protected group bias and stereotypes in Large Language Models—0
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression—0
Embracing the Generative AI Revolution: Advancing Tertiary Education in Cybersecurity with GPT—0
Evaluation Ethics of LLMs in Legal Domain—0
Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation—0
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams—0
AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic—0
A Moral Imperative: The Need for Continual Superalignment of Large Language Models—0
AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps—0
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies—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