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AI Safety
Google DeepMind › Research Areas › ai-safety
Record Metadata
| Record Key | ai-safety |
| Entity | Google DeepMind |
| Collection | Research Areas(4 records total) |
| Schema | Major research initiatives and focus areas. |
| YAML File | packages/kb/data/things/A4XoubikkQ.yaml |
Fields
| Name | AI Safety |
| Description | Responsible AI development including alignment, robustness, and societal impact |
| Started | Jan 2017 |
| Key Publication | deepmind.google↗ |
| Notes | Frontier Safety Framework published 2024; safety team includes alignment, interpretability, and ethics researchers |
Other Records in Research Areas (3)
| Key | Name | Description | Started |
|---|---|---|---|
| game-playing-ai | Game-Playing AI | Reinforcement learning for complex games including Go, chess, StarCraft, and Diplomacy | Jan 2013 |
| protein-structure-prediction | Protein Structure Prediction | Deep learning for predicting 3D protein structures from amino acid sequences | Jan 2016 |
| neuroscience-inspired-ai | Neuroscience-Inspired AI | Using insights from neuroscience to improve AI architectures and learning algorithms | Sep 2010 |