If you solve the problem of human-friendly self-improving AI, you have indirectly solved every problem. After spending a decent amount of time on LW, I have been convinced of this premise and now I would like to devote my life to that cause.
Currently I'm living in Germany and I'm studying psychology in the first semester. The university I'm studying at has a great reputation (even internationally if I can believe the rankings) for the quality of its scientific psychology research and it ranks about #2nd or #3rd place when it comes to various psy-science-related criteria out of about 55 German universities where one can study psychology. Five semesters of statistics in my Bachelor of Science might also hint at that.
I want to finish my Bachelor of Science and then move on to my Master, so in about 5 years I might hit my "phase of actual productivity" in the working field. I'm flirting with cognitive neuroscience, but haven't made my decision yet - however, I am pretty sure that I want to move towards research and a scientific career rather than one in a therapeutic field.
Before discovering lesswrong my most dominant personal interest in psychology has been in the field of "positive psychology" or plainly speaking the "what makes humans happy" field. This interest hasn't really changed through the discovery of LW, as much as it has evolved into: "how can we distill what makes human life worthwhile and put it into terms a machine could execute for our benefit"?
As the title suggests, I'm writing all this because I want some creative input from you in order to expand my sense of possibilities concerning how I can help the development of friendly AI from the field of psychology most effectively.
To give you a better idea of what might fit me, a bit more background-info about myself and my abilities seems in order:
I like talking and writing a lot, mathematically I am a loser (whether due to early disgust or incompetence I can't really tell). I value and enjoy human contact and have constantly moved from being an introvert towards being an extrovert by several cognitive developments I can only speculate on. I would probably easily rank in the middle field of any positive extroversion scale nowadays. My IQ seems to be around 134 if one can trust the "International High IQ Society" (www.highiqsociety.org), but as mentioned my abilities probably lie more in the linguistic and to some extent analytic sphere than the mathematical. I understand Bayes' Theorem but haven't read the quantum mechanics sequence and many "higher" concepts here are still above my current level of comprehension. Although I haven't tried all that hard yet to be fair.
I have programmed some primitive HTML and CSS once and didn't really like it. From that experiecne and my mathematical inability I take away, that programming wouldn't be the way that I could contribute most efficiently towards friendly AI-research. It is none of my strenghts or at least it would take a lot of time to develop that, which would probably be better spent somewhere else. Also I quite surely wouldn't enjoy it as much as work in the psychological realm with humans.
My English is almost indistinguishable from that of a native speaker and I largely lack that (rightfully) despised and annoying German accent, so I could definitely see myself giving competent talks in English.
Like many of you I have serious problems with akrasia (regardless of whether that's a rationalist phenomenon or whether we are just more aware of it and tend to do types of work that tempt it more readily). Before I learned of how to effectively combat it (thank you Piers Steel!), I had plenty of motivation to get rid of it and sunk insane efforts into overcoming it, although ultimately it was largely an unsuccessful undertaking due to half-assed pop-science and the lack of a real insight about what procrastination is caused by and how it actually functions. Now that I know how to fix procrastination (or rather now that I know that it can't be fixed, as much as it has to be managed in a similar fashion to any given drug-addition), my motivation to overcome it is almost gone and I feel myself slacking. Also, the high certainty that there is no such thing as "free will" may have played a serious part in my procrastination habits (interestingly, there are at least two papers I recall showing this correlation). In a nutshell: Procrastination is a problem that I need to address, since it is definitely the Achilles' heel of my performance and it's absolutely crippling my potential. I probably rank middle-high on the impulsiveness- (and thus also on the procrastination-) scale.
That should be an adequate characterization of myself for now.
I am absolutely open for suggestions that are not related to the neuroscience of "what makes humans happy and how do I distill those goals and feelings into something a machine could work with"-field, but currently I am definitely flirting with that idea, even though I have absolutely no clue how the heck this area of research could be sufficiently financed in a decade from now and how it could spit out findings precise enough to benefit the creation of FAI. Yet maybe it's just a lack of imagination.
Trying to help set up and evolve a rationalist community in Germany would also be a decent task, but compared to specific research that actually directly aids our goals... I somehow feel it is less than what I could reasonably achieve if I really set my mind to it.
So tell me, where does a German psychologist go nowadays to achieve the biggest possible positive impact in the field of friendly AI?
I'm really unsure why this is such a common conclusion. Maybe I'm overerestimating the bar for "math genius", but there is some absurdly high amount of unexplored ground in areas relating to whole brain emulations and brain-computer interfaces. Neither of these are particularly math-heavy, and it's likely that at there are parts of the problem that just require engineering or lab experience. My current estimate is that the more people working on WBE, the better. Also: the larger the fraction of the WBE community that cares about existential risks, the better.
(There's also lots of unexplored ground in machine learning, but having people working on ML is probably less good than having people work on WBE, and also ML is significantly more math-intensive.)
On a separate note, I don't think the people at SingInst, for instance, are so good at math that there is a vanishingly small probability of being better than them, even in fields where math is the determining factor (I don't mean this as an attack on SingInst; the people from there that I've met all seem to be quite reasonable and capable people, for both qualitative and quantitative reasoning. But I don't think that SingInst has been so optimized for math ability that no one else should even bother trying to contribute mathematically.)
I agree with this. Look at the list of SIAI's publications - not all of them would have required a math genius to write.
I think that some of the most important papers relating to the Singularity so far have been (in no particular order) Eliezer's CEV proposal, Omohundro's Basic AI Drives, Robin Hanson's If uploads come first, Carl Shulman's Whole brain emulations and the evolution of superorganisms, Eliezer's Artificial Intelligence as a Positive and Negative Factor in Global Risk, Anders Sandberg's and Nick Bostrom's Whole brain emulation roadmap, lukepro... (read more)