Properties (50)
Predicate | Object |
---|---|
gptkbp:instanceOf |
gptkb:Research_Institute
|
gptkbp:advocatesFor |
ethical AI practices
responsible_AI_use |
gptkbp:aimsTo |
promote safe AI development
mitigate_risks_of_AI |
gptkbp:collaboratesWith |
academic institutions
industry partners |
gptkbp:conductsResearchOn |
alignment of AI with human values
machine learning safety robustness_of_AI_systems |
gptkbp:engagesIn |
public outreach
|
gptkbp:focusesOn |
AI safety
|
gptkbp:hasGoals |
improve AI transparency
enhance AI accountability foster public trust in AI |
gptkbp:hasImpactOn |
AI research funding
AI development policies public_perception_of_AI |
gptkbp:hasMember |
ethicists
AI researchers policy experts |
gptkbp:hasPublications |
research papers
technical reports white papers |
gptkbp:historicalResearch |
peer-reviewed journals
|
https://www.w3.org/2000/01/rdf-schema#label |
AI Safety Research Group
|
gptkbp:isActiveIn |
AI research community
AI safety community |
gptkbp:isInvolvedIn |
AI policy discussions
AI ethics debates |
gptkbp:isKnownFor |
collaborative projects
interdisciplinary approach |
gptkbp:isLocatedIn |
various countries
|
gptkbp:isRecognizedBy |
policy makers
industry leaders academic peers |
gptkbp:isSupportedBy |
government agencies
non-profit organizations private sector funding |
gptkbp:organizes |
workshops
conferences |
gptkbp:participatesIn |
international collaborations
research consortia |
gptkbp:provides |
educational resources
guidelines for AI practitioners |
gptkbp:receivesFundingFrom |
grants
donations |
gptkbp:utilizes |
theoretical frameworks
simulation techniques empirical studies |