I'm going to give more general feedback than Dorikka and say that there is a lot of material on AI safety in the Less Wrong sequences and the literature produced by MIRI and FHI people, and any LW post about AI safety is going to have to engage with all that material (at least), if only implicitly, before it gets upvotes.
How will we know if future AI’s (or even existing planners) are making decisions that are bad for humans unless we spell out what we think is unfriendly?
At a machine level the AI would be recursively minimising cost functions to produce the most effective plan of action to achieve the goal, but how will we know if its decision is going to cause harm?
Is there a model or dataset which describes what is friendly to humans? e.g.
Context
0 - running a simulation in a VM
2 - physical robot with vacuum attachment
9 - full control of a plane
Actions
0 - selecting a song to play
5 - deciding which section of floor to vacuum
99 - deciding who is an ‘enemy’
9999 - aiming a gun at an ‘enemy’
Impact
1 - poor song selected to play, human mildly annoyed
2 - ineffective use of resources (vacuuming the same floor section twice)
99 - killing a human
99999 - killing all humans
This may not be possible to get agreement from all countries/cultures/beliefs, but it is something we should discuss and attempt to get some agreement.
.