Re:Time to regulate AI that interprets human emotions?
by crazygringo on Wednesday April 07, 2021 @03:28PM
(#26729836)
> about Zooom videos, not single frames
The products in question are almost certainly assessing still frames from video. There's been vanishingly little research on the time component of emotions, even though we know it's hugely important.
> you need it to work cross-culturally
This would then require separate training models for e.g. individual subcultures within countries as well as detecting which subcultures participants belong to. That is also far beyond anything being done currently.
> but many settings are not adversarial, so there would be no reason to do so
It has nothing to do with an adversarial setting, people try to hide their emotions constantly. They hide that they're fed up with their boss in front of colleagues, they hide that they're stressed with their spouse at work, they hide that they're worried the project will fail. We are emotionally regulating virtually all the time.
> some emotional information does get communicated over the video, so in principle computer programs should be able to pick up on it too
In principle, yes, but in practice the emotional content is so dependent upon your cultural and individual mental model of the person that you would need to model their entire psychology. "What does that long pause mean?" The point is that emotional signals are so incredibly complex and vary so much from person to person, that the difficulty of accurately decoding emotions is more akin to AI that can make conceptual inferences and hold a genuinely intelligent conversation, as opposed to mere pattern recognition.
The products in question are almost certainly assessing still frames from video. There's been vanishingly little research on the time component of emotions, even though we know it's hugely important.
> you need it to work cross-culturally
This would then require separate training models for e.g. individual subcultures within countries as well as detecting which subcultures participants belong to. That is also far beyond anything being done currently.
> but many settings are not adversarial, so there would be no reason to do so
It has nothing to do with an adversarial setting, people try to hide their emotions constantly. They hide that they're fed up with their boss in front of colleagues, they hide that they're stressed with their spouse at work, they hide that they're worried the project will fail. We are emotionally regulating virtually all the time.
> some emotional information does get communicated over the video, so in principle computer programs should be able to pick up on it too
In principle, yes, but in practice the emotional content is so dependent upon your cultural and individual mental model of the person that you would need to model their entire psychology. "What does that long pause mean?" The point is that emotional signals are so incredibly complex and vary so much from person to person, that the difficulty of accurately decoding emotions is more akin to AI that can make conceptual inferences and hold a genuinely intelligent conversation, as opposed to mere pattern recognition.