SOTAVerified

Ethics

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 832 papers

TitleStatusHype
Hedonic Adaptation in the Age of AI: A Perspective on Diminishing Satisfaction Returns in Technology Adoption—0
Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework—0
Higher-Order Responsibility—0
Homo economicus to model human behavior is ethically doubtful and mathematically inconsistent—0
How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT's destruction—0
How effective is BERT without word ordering? Implications for language understanding and data privacy—0
AI as Decision-Maker: Ethics and Risk Preferences of LLMs—0
How good is good enough for COVID19 apps? The influence of benefits, accuracy, and privacy on willingness to adopt—0
How Large Language Models Are Changing MOOC Essay Answers: A Comparison of Pre- and Post-LLM Responses—0
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law—0
How to Avoid Both the Repugnant and Sadistic Conclusions without Dropping Standard Axioms in Population Economics—0
How To Solve Moral Conundrums with Computability Theory—0
MONAL: Model Autophagy Analysis for Modeling Human-AI Interactions—0
Human-Centered Responsible Artificial Intelligence: Current & Future Trends—0
Human computation requires and enables a new approach to ethical review—0
Human services organizations and the responsible integration of AI: Considering ethics and contextualizing risk(s)—0
If our aim is to build morality into an artificial agent, how might we begin to go about doing so?—0
"I Hadn't Thought About That": Creators of Human-like AI Weigh in on Ethics And Neurodivergence—0
Implementations in Machine Ethics: A Survey—0
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects—0
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness—0
Impossibility Results in AI: A Survey—0
Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes—0
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation—0
INbreast: toward a full-field digital mammographic database—0
Individual risk profiling for portable devices using a neural network to process the cognitive reactions and the emotional responses to a multivariate situational risk assessment—0
Inducing Human-like Biases in Moral Reasoning Language Models—0
Infinite utility: counterparts and ultimate locations—0
Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot—0
Initial Analysis of a Simple Numerical Model that Exhibits Antifragile Behavior—0
Institutionalising Ethics in AI through Broader Impact Requirements—0
Instrument-Armed Bandits—0
Integrating Artificial Intelligence into Weapon Systems—0
Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models—0
Integrating Ethics into the NLP Curriculum—0
Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications—0
Integrating Generative Artificial Intelligence in Intelligent Vehicle Systems—0
Integrating the Management of Personal Data Protection and Open Science with Research Ethics—0
Intelligence Primer—0
Interactive Model Cards: A Human-Centered Approach to Model Documentation—0
Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI—0
Internal and External Impacts of Natural Language Processing Papers—0
Inter(sectional) Alia(s): Ambiguity in Voice Agent Identity via Intersectional Japanese Self-Referents—0
Introducing ELLIPS: An Ethics-Centered Approach to Research on LLM-Based Inference of Psychiatric Conditions—0
Introduction to AI Safety, Ethics, and Society—0
Investigating Responsible AI for Scientific Research: An Empirical Study—0
InvNorm: Domain Generalization for Object Detection in Gastrointestinal Endoscopy—0
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models—0
Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling Queer Voices—0
Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP—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