Statements (64)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:AI_technology
|
| gptkbp:addresses |
AI alignment issues
|
| gptkbp:advocates_for |
collaborative AI research
|
| gptkbp:aims_to |
enhance public understanding of AI safety
reduce bias in AI systems foster interdisciplinary collaboration in AI safety build trust in AI technologies create a collaborative safety culture create a safer AI ecosystem enhance transparency in AI systems foster responsible AI innovation improve AI accountability prevent AI-related risks promote global AI safety standards |
| gptkbp:analyzes |
data privacy concerns
AI deployment challenges ethical implications of AI AI failure cases AI governance challenges |
| gptkbp:collaborates_with |
government agencies
non-profit organizations research institutions academic researchers |
| gptkbp:conducts |
impact assessments
safety research workshops on AI ethics surveys on AI perceptions |
| gptkbp:developed_by |
gptkb:Deep_Mind
|
| gptkbp:develops |
safety benchmarks
AI safety protocols AI governance frameworks AI risk assessment frameworks AI safety assessment tools AI safety metrics |
| gptkbp:engages_in |
community outreach
policy advocacy public awareness campaigns public discussions cross-disciplinary research |
| gptkbp:explores |
human-AI interaction safety
|
| gptkbp:focuses_on |
ensuring safe AI development
|
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind AI for AI Safety
|
| gptkbp:investigates |
AI ethics frameworks
long-term impacts of AI AI transparency issues socioeconomic impacts of AI |
| gptkbp:investment |
AI safety tools
|
| gptkbp:participates_in |
AI safety conferences
|
| gptkbp:promotes |
gptkb:Ethics
diversity in AI research |
| gptkbp:provides |
gptkb:educational_resources
guidelines for AI developers consultation services for AI safety safety training for AI practitioners technical assistance for AI safety projects |
| gptkbp:publishes |
research papers
|
| gptkbp:supports |
policy development
AI safety research funding international AI safety collaborations open-source AI safety projects |
| gptkbp:utilizes |
machine learning techniques
|
| gptkbp:works_on |
robustness of AI systems
|
| gptkbp:bfsParent |
gptkb:Deep_Mind
|
| gptkbp:bfsLayer |
5
|