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Ethics

Papers

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Showing 101–150 of 832 papers

TitleStatusHype
Systematic Literature Review: Explainable AI Definitions and Challenges in Education—0
Trapped by Expectations: Functional Fixedness in LLM-Enabled Chat Search—0
The role of ethical consumption in promoting democratic sustainability: revisiting neoclassical economics through Kantian ethics—0
AI Regulation and Capitalist Growth: Balancing Innovation, Ethics, and Global Governance—0
BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models—0
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?—0
When LLM Therapists Become Salespeople: Evaluating Large Language Models for Ethical Motivational Interviewing—0
Beyond Single-Sentence Prompts: Upgrading Value Alignment Benchmarks with Dialogues and Stories—0
e-person Architecture and Framework for Human-AI Co-adventure Relationship—0
AI Identity, Empowerment, and Mindfulness in Mitigating Unethical AI Use—0
Computational Thinking with Computer Vision: Developing AI Competency in an Introductory Computer Science Course—0
Three Kinds of AI Ethics—0
Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems—0
Generative AI for Software Architecture. Applications, Trends, Challenges, and Future Directions—0
CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings—0
Privacy Ethics Alignment in AI: A Stakeholder-Centric Based Framework for Ethical AI—0
Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance—0
MinorBench: A hand-built benchmark for content-based risks for children—0
SciFi-Benchmark: How Would AI-Powered Robots Behave in Science Fiction Literature?—0
Hedonic Adaptation in the Age of AI: A Perspective on Diminishing Satisfaction Returns in Technology Adoption—0
Benchmarking Chinese Medical LLMs: A Medbench-based Analysis of Performance Gaps and Hierarchical Optimization Strategies—0
Dubito Ergo Sum: Exploring AI Ethics—0
Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance—0
Analyzing the Safety of Japanese Large Language Models in Stereotype-Triggering PromptsCode0
None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering—0
Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models—0
BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge—0
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice—0
Measure of Morality: A Mathematical Theory of Egalitarian Ethics—0
Revealing the Pragmatic Dilemma for Moral Reasoning Acquisition in Language Models—0
Dynamic LLM Routing and Selection based on User Preferences: Balancing Performance, Cost, and Ethics—0
Multi-Agent Risks from Advanced AI—0
The 20 Laws of AI Power: Mastering the Future of Autonomous Intelligence—0
Toward Robust Non-Transferable Learning: A Survey and BenchmarkCode0
Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making—0
Coarse Set Theory for AI Ethics and Decision-Making: A Mathematical Framework for Granular Evaluations—0
Fairness in Agentic AI: A Unified Framework for Ethical and Equitable Multi-Agent System—0
Educating a Responsible AI Workforce: Piloting a Curricular Module on AI Policy in a Graduate Machine Learning Course—0
The Odyssey of the Fittest: Can Agents Survive and Still Be Good?Code0
ApplE: An Applied Ethics Ontology with Event ContextCode0
Control Search Rankings, Control the World: What is a Good Search Engine?—0
Ethical Considerations for the Military Use of Artificial Intelligence in Visual Reconnaissance—0
Superhuman Game AI Disclosure: Expertise and Context Moderate Effects on Trust and Fairness—0
Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI—0
Human services organizations and the responsible integration of AI: Considering ethics and contextualizing risk(s)—0
Development of Application-Specific Large Language Models to Facilitate Research Ethics Review—0
Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and ClaudeCode0
How to Avoid Both the Repugnant and Sadistic Conclusions without Dropping Standard Axioms in Population Economics—0
AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics of AI—0
Stylomech: Unveiling Authorship via Computational Stylometry in English and Romanized Sinhala—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