How are you going to address the perceived and actual lack of rigor associated with SIAI?
There are essentially no academics who believe that high-quality research is happening at the Singularity Institute. This is likely to pose problems for your plan to work with professors to find research candidates. It is also likely to be an indicator of little high-quality work happening at the Institute.
In his recent Summit presentation, Eliezer states that "most things you need to know to build Friendly AI are rigorous understanding of AGI rather than Friendly parts per se". This suggests that researchers in AI and machine learning should be able to appreciate high-quality work done by SIAI. However, this is not happening, and the publications listed on the SIAI page--including TDT--are mostly high-level arguments that don't meet this standard. How do you plan to change this?
How are you going to address the perceived and actual lack of rigor associated with SIAI?
A clarifying question. By 'rigor', do you mean the kind of rigor that is required to publish in journals like Risk Analysis or Minds and Machines, or do you mean something else by 'rigor'?
Today I was appointed the new Executive Director of Singularity Institute.
Because I care about transparency, one of my first projects as an intern was to begin work on the organization's first Strategic Plan. I researched how to write a strategic plan, tracked down the strategic plans of similar organizations, and met with each staff member, progressively iterating the document until it was something everyone could get behind.
I quickly learned why there isn't more of this kind of thing: transparency is a lot of work! 100+ hours of work later, plus dozens of hours from others, and the strategic plan was finally finished and ratified by the board. It doesn't accomplish much by itself, but it's one important stepping stone in building an organization that is more productive, more trusted, and more likely to help solve the world's biggest problems.
I spent two months as a researcher, and was then appointed Executive Director.
In further pursuit of transparency, I'd like to answer (on video) submitted questions from the Less Wrong community just as Eliezer did two years ago.
The Rules
1) One question per comment (to allow voting to carry more information about people's preferences).
2) Try to be as clear and concise as possible. If your question can't be condensed into one paragraph, you should probably ask in a separate post. Make sure you have an actual question somewhere in there (you can bold it to make it easier to scan).
3) I will generally answer the top-voted questions, but will skip some of them. I will tend to select questions about Singularity Institute as an organization, not about the technical details of some bit of research. You can read some of the details of the Friendly AI research program in my interview with Michael Anissimov.
4) If you reference certain things that are online in your question, provide a link.
5) This thread will be open to questions and votes for 7 days, at which time I will decide which questions to begin recording video responses for.
I might respond to certain questions within the comments thread and not on video; for example, when there is a one-word answer.