SOTAVerified

Ethics

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–650 of 832 papers

TitleStatusHype
PrivPAS: A real time Privacy-Preserving AI System and applied ethics—0
Proceedings 39th International Conference on Logic Programming—0
Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning—0
Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning—0
Proceedings of the First ACL Workshop on Ethics in Natural Language Processing—0
Proceedings of the Second ACL Workshop on Ethics in Natural Language Processing—0
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools—0
Prompt Engineering a Schizophrenia Chatbot: Utilizing a Multi-Agent Approach for Enhanced Compliance with Prompt Instructions—0
Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden Attacks—0
Protected group bias and stereotypes in Large Language Models—0
Purposefully Induced Psychosis (PIP): Embracing Hallucination as Imagination in Large Language Models—0
Putting AI Ethics into Practice: The Hourglass Model of Organizational AI Governance—0
Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play—0
Quantum Fair Machine Learning—0
Quantum propensities in the brain cortex and free will—0
Quelle éthique pour quelle IA ?—0
Quranic Conversations: Developing a Semantic Search tool for the Quran using Arabic NLP Techniques—0
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing—0
Rapid COVID-19 Risk Screening by Eye-region Manifestations—0
Readying Medical Students for Medical AI: The Need to Embed AI Ethics Education—0
Recent advances in deep learning theory—0
Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements—0
RE-centric Recommendations for the Development of Trustworthy(er) Autonomous Systems—0
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research—0
Reducing Barriers to the Use of Marginalised Music Genres in AI—0
Reducing Privacy Risks in Online Self-Disclosures with Language Models—0
Regulating AI: Applying insights from behavioural economics and psychology to the application of article 5 of the EU AI Act—0
Regulation and NLP (RegNLP): Taming Large Language Models—0
Reinforcement Learning and Machine ethics:a systematic review—0
Report on the Conference on Ethical and Responsible Design in the National AI Institutes: A Summary of Challenges—0
Report prepared by the Montreal AI Ethics Institute In Response to Mila's Proposal for a Contact Tracing App—0
Report prepared by the Montreal AI Ethics Institute (MAIEI) on Publication Norms for Responsible AI—0
Representational Ethical Model Calibration—0
Repr\'esentation du genre dans des donn\'ees open source de parole (Gender representation in open source speech resources 1 With the rise of artificial intelligence (AI) and the growing use of deep-learning architectures, the question of ethics and transparency in AI systems has become a central concern within the research community)—0
Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base—0
Resolving Ethics Trade-offs in Implementing Responsible AI—0
Resolving the Human Subjects Status of Machine Learning's Crowdworkers—0
Response by the Montreal AI Ethics Institute to the European Commission's Whitepaper on AI—0
Responses to a Critique of Artificial Moral Agents—0
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering—0
Responsible AI Question Bank: A Comprehensive Tool for AI Risk Assessment—0
Responsible AI Research Needs Impact Statements Too—0
Responsible Artificial Intelligence: A Structured Literature Review—0
Responsible Autonomy—0
Responsible Data Stewardship: Generative AI and the Digital Waste Problem—0
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches—0
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?—0
Revealing the Pragmatic Dilemma for Moral Reasoning Acquisition in Language Models—0
Robotic Speech Synthesis: Perspectives on Interactions, Scenarios, and Ethics—0
Robotics Rights and Ethics Rules—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