Statements (77)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:engine
|
| gptkbp:addresses |
AI alignment issues
|
| gptkbp:advocates_for |
ethical AI development
sustainable AI practices diverse perspectives in AI safety inclusive AI development |
| gptkbp:aims_to |
improve AI transparency
foster public trust in AI create safer AI technologies enhance user trust in AI prevent harmful AI behavior reduce AI-related risks |
| gptkbp:analyzes |
AI impact on society
AI decision-making processes AI governance models AI interpretability AI failure cases AI's ethical implications AI's influence on privacy AI's role in misinformation AI's societal impact ethical dilemmas in AI potential AI risks |
| gptkbp:collaborates_with |
non-profit organizations
academic institutions international organizations research institutions other AI research teams |
| gptkbp:conducts |
workshops on AI ethics
safety experiments |
| gptkbp:contributed_to |
global AI safety initiatives
|
| gptkbp:develops |
safety benchmarks
AI safety protocols AI risk assessment frameworks AI safety frameworks safety assessment protocols AI safety guidelines AI safety assessment tools AI safety tools safety research methodologies |
| gptkbp:engages_in |
community outreach
policy advocacy public awareness campaigns stakeholder consultations collaborative research projects public discussions on AI safety |
| gptkbp:explores |
human-AI collaboration
AI's role in decision-making socioeconomic implications of AI |
| gptkbp:focuses_on |
ensuring AI systems are safe
|
| gptkbp:fosters |
interdisciplinary research
|
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind AI Safety
|
| gptkbp:part_of |
gptkb:philosopher
|
| gptkbp:participates_in |
AI ethics discussions
AI safety conferences AI safety research collaborations |
| gptkbp:promotes |
responsible AI usage
transparency in AI research collaborative AI safety research |
| gptkbp:provides |
guidelines for AI deployment
|
| gptkbp:publishes |
research papers
|
| gptkbp:research |
AI system failures
AI safety challenges long-term impacts of AI AI behavior in complex environments AI's effects on mental health AI's impact on employment robustness of AI systems |
| gptkbp:supports |
AI policy development
AI risk mitigation strategies AI safety education AI safety policy initiatives AI safety research funding |
| gptkbp:utilizes |
machine learning techniques
|
| gptkbp:works_with |
government agencies
|
| gptkbp:bfsParent |
gptkb:philosopher
|
| gptkbp:bfsLayer |
3
|