Bostrom (2014): Superintelligence
webCredibility Rating
Mixed quality. Some useful content but inconsistent editorial standards. Claims should be verified.
Rating inherited from publication venue: Amazon
This Amazon listing links to Bostrom's foundational AI safety book; the actual content is the book itself, which is widely considered essential reading for anyone entering the AI safety field and heavily influenced subsequent research agendas at organizations like MIRI, FHI, and OpenAI.
Metadata
Summary
Nick Bostrom's seminal 2014 book examining the potential risks posed by the development of machine superintelligence, arguing that a sufficiently advanced AI could pursue goals misaligned with human values and potentially pose an existential threat. The book explores paths to superintelligence, control problems, and strategies for ensuring beneficial outcomes. It became a foundational text in the AI safety field, bringing the alignment problem to mainstream academic and public attention.
Key Points
- •Analyzes multiple pathways to superintelligence including whole brain emulation, biological enhancement, and recursive self-improvement via AI
- •Introduces the 'control problem': how to ensure a superintelligent agent pursues goals aligned with human values rather than instrumental power-seeking
- •Argues that a sufficiently capable AI could undergo rapid capability gains (intelligence explosion) making post-hoc correction extremely difficult
- •Proposes capability control and motivation selection as broad strategies for managing superintelligent systems safely
- •Introduces influential concepts including the orthogonality thesis and instrumental convergence, foundational to modern alignment discourse
Cited by 2 pages
| Page | Type | Quality |
|---|---|---|
| Self-Improvement and Recursive Enhancement | Capability | 69.0 |
| Instrumental Convergence | Risk | 64.0 |
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