SOTAVerified

Ethics

Papers

Showing 451–475 of 832 papers

TitleStatusHype
ChatGPT, Large Language Technologies, and the Bumpy Road of Benefiting Humanity—0
Too sick for surveillance: Can federal HIV service data improve federal HIV surveillance efforts?—0
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions—0
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects—0
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language ProcessingCode0
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review—0
Whose Text Is It Anyway? Exploring BigCode, Intellectual Property, and Ethics—0
ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective—0
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys—0
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing—0
Context, Utility and Influence of an Explanation—0
ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing—0
Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework—0
On the ethics of constructing conscious AI—0
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset—0
A toolkit of dilemmas: Beyond debiasing and fairness formulas for responsible AI/ML—0
That's All Folks: a KG of Values as Commonsense Social Norms and Behaviors—0
Benchmarking Deepart Detection—0
Safety without alignment—0
The global economic impact of AI technologies in the fight against financial crime—0
Beyond Bias and Compliance: Towards Individual Agency and Plurality of Ethics in AI—0
ChatGPT: A Meta-Analysis after 2.5 Months—0
Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements—0
MAILS -- Meta AI Literacy Scale: Development and Testing of an AI Literacy Questionnaire Based on Well-Founded Competency Models and Psychological Change- and Meta-Competencies—0
Value Engineering for Autonomous Agents—0
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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