Name
Abstract | ||
|---|---|---|
Out of fear that artificial general intelligence (AGI) might pose a future risk to human existence, some have suggested slowing or stopping AGI research, to allow time for theoretical work to guarantee its safety. Since an AGI system will necessarily be a complex closed-loop learning controller that lives and works in semi-stochastic environments, its behaviors are not fully determined by its design and initial state, so no mathematico-logical guarantees can be provided for its safety. Until actual running AGI systems exist - and there is as of yet no consensus on how to create them - that can be thoroughly analyzed and studied, any proposal on their safety can only be based on weak conjecture. As any practical AGI will unavoidably start in a relatively harmless baby-like state, subject to the nurture and education that we provide, we argue that our best hope to get safe AGI is to provide it proper education. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-21365-1_5 | ARTIFICIAL GENERAL INTELLIGENCE (AGI 2015) |
Keywords | Field | DocType |
Artificial intelligence, Nurture, Nature, AI safety, Friendly AI | Nature versus nurture,Computer science,Artificial general intelligence,Artificial intelligence,Conjecture,Learning controller | Conference |
Volume | ISSN | Citations |
9205 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jordi Bieger | 1 | 12 | 2.84 |
| Kristinn Thorisson | 2 | 658 | 94.55 |
| Pei Wang | 3 | 21 | 5.09 |