Maybe this process generalises and so longtermist AI governance can learn from other communities?
In some sense, this post explains how the longtermist AI governance community is trying to go from “no one understands this issue well”, to actually improving concrete decisions that affect the issue.
It seems plausible that the process described here is pretty general (i.e. not specific to AI governance). If that’s true, then there could be opportunities for AI governance to learn from how this process has been implemented in other communities/fields and vice-versa.
Intuitively I feel that this process does generalise, and I would personally be really keen to read case studies of an idea/strategy that was moved from left to right in the diagram above. i.e a thinker initially identifies a problem, and over the following years or decades it moves to tactics research, then policy development, then advocacy and finally is implemented. I doubt any idea in AI governance has gone through the full strategy-to-implementation lifecycle, but maybe one in climate change, nuclear risk management, or something else has? Would appreciate if anyone could link case studies of this sort!
Maybe this process generalises and so longtermist AI governance can learn from other communities?
In some sense, this post explains how the longtermist AI governance community is trying to go from “no one understands this issue well”, to actually improving concrete decisions that affect the issue.
It seems plausible that the process described here is pretty general (i.e. not specific to AI governance). If that’s true, then there could be opportunities for AI governance to learn from how this process has been implemented in other communities/fields and vice-versa.
Intuitively I feel that this process does generalise, and I would personally be really keen to read case studies of an idea/strategy that was moved from left to right in the diagram above. i.e a thinker initially identifies a problem, and over the following years or decades it moves to tactics research, then policy development, then advocacy and finally is implemented. I doubt any idea in AI governance has gone through the full strategy-to-implementation lifecycle, but maybe one in climate change, nuclear risk management, or something else has? Would appreciate if anyone could link case studies of this sort!