SOTAVerified

Ethics

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–700 of 832 papers

TitleStatusHype
The General Theory of General Intelligence: A Pragmatic Patternist Perspective—0
The Road to a Successful HRI: AI, Trust and ethicS-TRAITS—0
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study—0
Uncertainty-aware Incremental Learning for Multi-organ Segmentation—0
Challenges of engineering safe and secure highly automated vehicles—0
Individual risk profiling for portable devices using a neural network to process the cognitive reactions and the emotional responses to a multivariate situational risk assessment—0
An Objective Laboratory Protocol for Evaluating Cognition of Non-Human Systems Against Human Cognition—0
Towards the Right Kind of Fairness in AI—0
AI Ethics Needs Good Data—0
Why Talking about ethics is not enough: a proposal for Fintech's AI ethics—0
AI Can Stop Mass Shootings, and More—0
Quantum Fair Machine Learning—0
Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research—0
Making Responsible AI the Norm rather than the Exception—0
Detecting discriminatory risk through data annotation based on Bayesian inferences—0
Learning From Revisions: Quality Assessment of Claims in Argumentation at ScaleCode0
Descriptive AI Ethics: Collecting and Understanding the Public Opinion—0
The Slodderwetenschap (Sloppy Science) of Stochastic Parrots -- A Plea for Science to NOT take the Route Advocated by Gebru and Bender—0
Towards Machine Ethics with Language Models—0
Digital me ontology and ethics—0
Taking Principles Seriously: A Hybrid Approach to Value Alignment—0
Recent advances in deep learning theory—0
Cyber Autonomy: Automating the Hacker- Self-healing, self-adaptive, automatic cyber defense systems and their impact to the industry, society and national security—0
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics—0
The Managerial Effects of Algorithmic Fairness Activism—0
Like a Researcher Stating Broader Impact For the Very First Time—0
AI virtues -- The missing link in putting AI ethics into practice—0
Human computation requires and enables a new approach to ethical review—0
AI Governance for Businesses—0
Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies—0
The State of AI Ethics Report (October 2020)—0
University of Washington at TREC 2020 Fairness Ranking Track—0
Suicidal Risk Detection for Military Personnel—0
Towards Ethics by Design in Online Abusive Content Detection—0
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation—0
A Methodology for Ethics-by-Design AI Systems: Dealing with Human Value Conflicts—0
Non-Additive Axiologies in Large Worlds—0
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches—0
Case Study: Deontological Ethics in NLP—0
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANsCode1
The Short Anthropological Guide to the Study of Ethical AI—0
Basic principles and concept design of a real-time clinical decision support system for managing medical emergencies on missions to Mars—0
Logic Programming and Machine Ethics—0
Ethical Machine Learning in Health Care—0
Report prepared by the Montreal AI Ethics Institute (MAIEI) on Publication Norms for Responsible AI—0
Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development ToolsCode0
A Framework for Fairer Machine Learning in Organizations—0
A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools—0
Landscape of Machine Implemented Ethics—0
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy—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