SOTAVerified

Ethics

Papers

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Showing 601–650 of 832 papers

TitleStatusHype
The Case for Animal-Friendly AI—0
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems—0
The Cognitive Foundations of Economic Exchange: A Modular Framework Grounded in Behavioral Evidence—0
The Contestation of Tech Ethics: A Sociotechnical Approach to Technology Ethics in Practice—0
The Convergent Ethics of AI? Analyzing Moral Foundation Priorities in Large Language Models with a Multi-Framework Approach—0
The Cycle of Trust and Responsibility in Outsourced AI—0
The Dark Side of Ethical Robots—0
The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis—0
The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices—0
The Ethical Implications of AI in Creative Industries: A Focus on AI-Generated Art—0
The Ethics of AI Ethics -- An Evaluation of Guidelines—0
The Ethics of AI in Education—0
The Ethics of AI in Games—0
The Ethics of AI Value Chains—0
The Ethics of Automating Legal Actors—0
The Ethics of Interaction: Mitigating Security Threats in LLMs—0
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness—0
The Future of Artificial Intelligence (AI) and Machine Learning (ML) in Landscape Design: A Case Study in Coastal Virginia, USA—0
The GenAI Generation: Student Views of Awareness, Preparedness, and Concern—0
The General Theory of General Intelligence: A Pragmatic Patternist Perspective—0
The global consensus on the risk management of autonomous driving—0
The global economic impact of AI technologies in the fight against financial crime—0
The HAPPY HEDGEHOG Project—0
The Key Concepts of Ethics of Artificial Intelligence - A Keyword based Systematic Mapping Study—0
The MAIEI Learning Community Report—0
The Managerial Effects of Algorithmic Fairness Activism—0
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions—0
The Moral Burden of Ambiguity Aversion—0
Theories of Parenting and their Application to Artificial Intelligence—0
Theorizing Information Sources for Hope: Belief, Desire, Imagination, and Metacognition—0
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward—0
The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning—0
The risk ethics of autonomous vehicles: a continuous trolley problem in regular road traffic—0
The Road to a Successful HRI: AI, Trust and ethicS-TRAITS—0
The Road to a Successful HRI: AI, Trust and ethicS-TRAITS—0
The Robots are Here: Navigating the Generative AI Revolution in Computing Education—0
The role of ethical consumption in promoting democratic sustainability: revisiting neoclassical economics through Kantian ethics—0
The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI—0
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis—0
The Short Anthropological Guide to the Study of Ethical AI—0
The Slodderwetenschap (Sloppy Science) of Stochastic Parrots -- A Plea for Science to NOT take the Route Advocated by Gebru and Bender—0
The social dilemma in artificial intelligence development and why we have to solve it—0
Interactive embodied evolution for socially adept Artificial General Creatures—0
The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas—0
The State of AI Ethics Report (January 2021)—0
The State of AI Ethics Report (June 2020)—0
The State of AI Ethics Report (October 2020)—0
The State of AI Ethics Report (Volume 4)—0
The State of AI Ethics Report (Volume 5)—0
The State of Documentation Practices of Third-party Machine Learning Models and Datasets—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