SOTAVerified

Ethics

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 832 papers

TitleStatusHype
AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements—0
AI Ethics Principles in Practice: Perspectives of Designers and Developers—0
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches—0
A Fair and Ethical Healthcare Artificial Intelligence System for Monitoring Driver Behavior and Preventing Road Accidents—0
Principles alone cannot guarantee ethical AI—0
AI Fairness in Practice—0
AI For Global Climate Cooperation 2023 Competition Proceedings—0
AI Ethics Needs Good Data—0
AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing—0
AI Governance for Businesses—0
AI-HRI 2021 Proceedings—0
AI Identity, Empowerment, and Mindfulness in Mitigating Unethical AI Use—0
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources—0
A blindspot of AI ethics: anti-fragility in statistical prediction—0
AI Ethics Issues in Real World: Evidence from AI Incident Database—0
AI Ethics in Smart Healthcare—0
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain—0
AI Ethics for Systemic Issues: A Structural Approach—0
AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development—0
Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics—0
A Comparative Analysis on Ethical Benchmarking in Large Language Models—0
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?—0
A Review of the Ethics of Artificial Intelligence and its Applications in the United States—0
AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How—0
Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation—0
BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge—0
AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps—0
AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews—0
Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making—0
Approaching Ethical Guidelines for Data Scientists—0
An Audit Framework for Adopting AI-Nudging on Children—0
AI Can Stop Mass Shootings, and More—0
AI Audit: A Card Game to Reflect on Everyday AI Systems—0
Analysis of the User Perception of Chatbots in Education Using A Partial Least Squares Structural Equation Modeling Approach—0
Adaptive reinforcement learning of multi-agent ethically-aligned behaviours: the QSOM and QDSOM algorithms—0
And Then the Hammer Broke: Reflections on Machine Ethics from Feminist Philosophy of Science—0
An Empirical Study on Fertility Proposals Using Multi-Grained Topic Analysis Methods—0
An Evaluation of GPT-4 on the ETHICS Dataset—0
An evidence-based methodology for human rights impact assessment (HRIA) in the development of AI data-intensive systems—0
A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools—0
AI Ethics and Governance in Practice: An Introduction—0
An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices: Towards a comprehensive qualification matrix of AI programs and devices (pre-print 2020)—0
An Objective Laboratory Protocol for Evaluating Cognition of Non-Human Systems Against Human Cognition—0
A Non-Expert's Introduction to Data Ethics for Mathematicians—0
Anonymous Attention and Abuse—0
An optimizable scalar objective value cannot be objective and should not be the sole objective—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
A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach—0
A Philosophy of Data—0
3D-LSPTM: An Automatic Framework with 3D-Large-Scale Pretrained Model for Laryngeal Cancer Detection Using Laryngoscopic Videos—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