SOTAVerified

Ethics

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 276–300 of 832 papers

TitleStatusHype
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law—0
Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback—0
Modeling Emotions and Ethics with Large Language ModelsCode0
Frontier AI Ethics: Anticipating and Evaluating the Societal Impacts of Language Model Agents—0
Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems—0
Designing for Human-Agent Alignment: Understanding what humans want from their agents—0
Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for ImplementationCode0
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness—0
Search and Society: Reimagining Information Access for Radical Futures—0
Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls—0
Ethical considerations when planning, implementing and releasing health economic model software: a new proposal—0
Towards a Formalisation of Value-based Actions and Consequentialist Ethics—0
Specifying Agent Ethics (Blue Sky Ideas)—0
The Ethics of AI in Education—0
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
Protected group bias and stereotypes in Large Language Models—0
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression—0
Embracing the Generative AI Revolution: Advancing Tertiary Education in Cybersecurity with GPT—0
Evaluation Ethics of LLMs in Legal Domain—0
Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation—0
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams—0
AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic—0
A Moral Imperative: The Need for Continual Superalignment of Large Language Models—0
AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps—0
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies—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