SOTAVerified

Ethics

Papers

Showing 476–500 of 832 papers

TitleStatusHype
Human-Centered Responsible Artificial Intelligence: Current & Future Trends—0
AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce—0
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading—0
Academic Writing with GPT-3.5: Reflections on Practices, Efficacy and Transparency—0
On the Computational Complexity of Ethics: Moral Tractability for Minds and Machines—0
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods—0
Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT—0
Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot—0
Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity—0
Enactive Artificial Intelligence: Subverting Gender Norms in Robot-Human Interaction—0
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance—0
Against Algorithmic Exploitation of Human Vulnerabilities—0
Unifying Consciousness and Time to Enhance Artificial Intelligence—0
FATE in AI: Towards Algorithmic Inclusivity and Accessibility—0
On the causality-preservation capabilities of generative modelling—0
Understanding Ethics, Privacy, and Regulations in Smart Video Surveillance for Public Safety—0
AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain SecurityCode0
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture—0
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety—0
On Text-based Personality Computing: Challenges and Future Directions—0
Acceleration AI Ethics, the Debate between Innovation and Safety, and Stability AI's Diffusion versus OpenAI's Dall-E—0
Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States—0
Prediction Accuracy and Autonomy—0
Zero-shot Visual Commonsense Immorality PredictionCode0
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine TranslationCode0
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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