Statements (78)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:AI_technology
|
| gptkbp:aims_to |
evaluate AI behavior
|
| gptkbp:aims_to_improve |
AI robustness
|
| gptkbp:collaborated_with |
other AI research teams
|
| gptkbp:contributes_to |
understanding of AI risks
|
| gptkbp:developed_by |
gptkb:C_programming_language
gptkb:Deep_Mind_Technologies |
| gptkbp:focuses_on |
AI safety
|
| gptkbp:has_applications_in |
machine learning research
|
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind Mesa
|
| gptkbp:introduced_in |
gptkb:2021
|
| gptkbp:is_analyzed_in |
safety protocols
AI researchers long-term impacts potential biases |
| gptkbp:is_collaborative_with |
government agencies
academic institutions industry partners think tanks |
| gptkbp:is_connected_to |
AI accountability measures
AI transparency initiatives AI research funding bodies |
| gptkbp:is_considered |
policy making for AI
|
| gptkbp:is_discussed_in |
AI conferences
|
| gptkbp:is_documented_in |
gptkb:conference
research papers technical reports white papers |
| gptkbp:is_evaluated_by |
performance metrics
real-world scenarios scalability simulations peer reviews user safety independent audits algorithmic fairness ethical implications |
| gptkbp:is_explored_in |
gptkb:academic_journals
case studies research collaborations |
| gptkbp:is_influenced_by |
global AI policies
Mesa-optimization theory previous AI safety research |
| gptkbp:is_informed_by |
gptkb:public_opinion
expert opinions human feedback |
| gptkbp:is_part_of |
AI ethics discussions
AI research community AI risk assessment tools AI governance frameworks AI innovation strategies AI development lifecycle AI research agendas Deep Mind research initiatives |
| gptkbp:is_promoted_by |
social media campaigns
Deep Mind publications |
| gptkbp:is_promoted_through |
workshops and seminars
|
| gptkbp:is_related_to |
AI alignment
machine ethics AI deployment strategies AI research ethics. |
| gptkbp:is_supported_by |
non-profit organizations
grants and funding international collaborations AI community funding from Alphabet Inc. |
| gptkbp:is_tested_for |
real-time data
various datasets synthetic environments various AI models |
| gptkbp:is_used_for |
testing AI systems
|
| gptkbp:is_used_to |
improve AI decision-making
|
| gptkbp:is_utilized_in |
gptkb:educational_programs
AI simulations AI training environments |
| gptkbp:utilizes |
reinforcement learning
|
| gptkbp:bfsParent |
gptkb:Deep_Mind
|
| gptkbp:bfsLayer |
5
|