SOTAVerified

Ethics

Papers

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Showing 151–200 of 832 papers

TitleStatusHype
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
AI Ethics for Systemic Issues: A Structural Approach—0
An optimizable scalar objective value cannot be objective and should not be the sole objective—0
Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education—0
Anonymous Attention and Abuse—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
A blindspot of AI ethics: anti-fragility in statistical prediction—0
A Non-Expert's Introduction to Data Ethics for Mathematicians—0
An Objective Laboratory Protocol for Evaluating Cognition of Non-Human Systems Against Human Cognition—0
AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How—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
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture—0
AI Ethics and Governance in Practice: An Introduction—0
Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation—0
A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools—0
An evidence-based methodology for human rights impact assessment (HRIA) in the development of AI data-intensive systems—0
AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps—0
An Evaluation of GPT-4 on the ETHICS Dataset—0
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics—0
Beyond the Screen: Safeguarding Mental Health in the Digital Workplace Through Organizational Commitment and Ethical Environment—0
An Empirical Study on Fertility Proposals Using Multi-Grained Topic Analysis Methods—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
Towards interactive evaluations for interaction harms in human-AI systems—0
Beyond Single-Sentence Prompts: Upgrading Value Alignment Benchmarks with Dialogues and Stories—0
Biospheric AI—0
Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program—0
Bots as Virtual Confederates: Design and Ethics—0
Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products—0
Brain Surgery: Ensuring GDPR Compliance in Large Language Models via Concept Erasure—0
And Then the Hammer Broke: Reflections on Machine Ethics from Feminist Philosophy of Science—0
Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society—0
Building Better: Avoiding Pitfalls in Developing Language Resources when Data is Scarce—0
Building Bridges: Generative Artworks to Explore AI Ethics—0
Building Discourse Parser for Thirukkural—0
Building Ethics into Artificial Intelligence—0
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis—0
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks—0
An Audit Framework for Adopting AI-Nudging on Children—0
Business and ethical concerns in domestic Conversational Generative AI-empowered multi-robot systems—0
Canada Protocol: an ethical checklist for the use of Artificial Intelligence in Suicide Prevention and Mental Health—0
Can Large Language Models Replace Human Subjects? A Large-Scale Replication of Scenario-Based Experiments in Psychology and Management—0
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models—0
Can segmentation models be trained with fully synthetically generated data?—0
Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AI—0
Can You Fool AI by Doing a 180? x2013 A Case Study on Authorship Analysis of Texts by Arata Osada—0
Caring Trouble and Musical AI: Considerations towards a Feminist Musical AI—0
AI Can Stop Mass Shootings, and More—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