Stronger than human artificial intelligence would be dangerous to humanity. It is vital any such intelligence’s goals are aligned with humanity's goals. Maximizing the chance that this happens is a difficult, important and under-studied problem.
To encourage more and better work on this important problem, we (Zvi Mowshowitz and Vladimir Slepnev) are announcing a $5000 prize for publicly posted work advancing understanding of AI alignment, funded by Paul Christiano.
This prize will be awarded based on entries gathered over the next two months. If the prize is successful, we will award further prizes in the future.
This prize is not backed by or affiliated with any organization.
Your entry must be published online for the first time between November 3 and December 31, 2017, and contain novel ideas about AI alignment. Entries have no minimum or maximum size. Important ideas can be short!
Your entry must be written by you, and submitted before 9pm Pacific Time on December 31, 2017. Submit your entries either as URLs in the comments below, or by email to firstname.lastname@example.org. We may provide feedback on early entries to allow improvement.
We will award $5000 to between one and five winners. The first place winner will get at least $2500. The second place winner will get at least $1000. Other winners will get at least $500.
Entries will be judged subjectively. Final judgment will be by Paul Christiano. Prizes will be awarded on or before January 15, 2018.
What kind of work are we looking for?
AI Alignment focuses on ways to ensure that future smarter than human intelligence will have goals aligned with the goals of humanity. Many approaches to AI Alignment deserve attention. This includes technical and philosophical topics, as well as strategic research about related social, economic or political issues. A non-exhaustive list of technical and other topics can be found here.
We are not interested in research dealing with the dangers of existing machine learning systems commonly called AI that do not have smarter than human intelligence. These concerns are also understudied, but are not the subject of this prize except in the context of future smarter than human intelligence. We are also not interested in general AI research. We care about AI Alignment, which may or may not also advance the cause of general AI research.