A first step might already be to open up data silos of which there are plenty within IOs alone already.
There are a few research centers looking into this kind of thing but it seems potentially pointless if we do not achieve global cooperation on these things. Thus, I believe, a priority should be policy strategy and prioritisation research for the international organisations.
I believe that here one key factor would be gathering a lot more data on the voluntary sector as Machine Learning and AI thrive on data, however, most data is generated by things that necessitate substantial investments. If we do not close that gap intentionally, it will only widen, as more wealth means more tech which means more data which means more wealth etc.
Maybe a good first step to closing global inequality and really capitalising on the potential of automation would, therefore, be the improvement of systematic collection of trustworthy data on a large scale. I am unsure how we could achieve this though.
FWIW, I think that EA's limits are useful. A lot of people seem to get "too creative" with trying to find new ways to do things, yet lack required tools and then get stuck in/on their idea - which wouldn't happen with the right mind-ware. EA also only initially stifles creativity because it's hard to get through all of the content and learn all the tools - once one is starting to master the art though, it looks like creativity is not discouraged. People who are truly skilled seem to feel like they can speak out and up. So in a way, yes, the movement does p...
Generally, the book Flow, by Mihaly Csikszentmihalyi seems useful here. I went through my notes of the book and here are some key takeaways that I feel are relevant for this doc. I included too much rather than too little.
Physical safety: - There's three social interaction types that are beneficial: (i) Engaging with our family and close friends allows us to get honest feedback and unconditional acceptance and long-term goal setting. -> The necessary support to continue growth, and get new input. (ii) Engaging with friends nurtures our expressive side,...
I guess this is the step between physical safety and self-actualisation?
I think "psychological safety", which this point seemingly implies, should be an entire model for itself. It's a rather complex issue because what works for one person, might not be necessary/sufficient for another due to different experiences, cultural backgrounds etc.
Redirecting aid/philanthropical support towards data gathering programs in hope Machine Learning will be able to help solve problems better?