but people will need good mental models of robots.
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to what role we each take when we collaborate on preparing breakfast
enabling them to take part in the negotiations people
too. It is important for robots to account for this when deciding
that influences what actions the human starts taking.
for instance.) What the intent-prediction approach misses
we’re probably going to enter the next room
you often reach around other objects and stop when you
so we might include the physical location of the person in the
it’s tempting to abstract people away. A
we’ll have to define “human-compatible” AI from the getgo.
we can’t create them in isolation from people and then try to make them
if we want highly capable AIs to be compatible
where you have to actually interact with
or a robot that vacuums the living room rug while you’re at work
we’ve assumed that if we’re successful—if robots can
a robot’s job is to figure out what actions it should take in
and it incurs a small cost every time it moves; this reward function
we define a reward function—a mapping from states and
for instance. States are locations in the world