Emotion recognition, AI for suicide prevention
Cameras that can capture micro expressions on peoples’ faces and voice recognition systems that are sophisticated enough to catch tonal variations are very much in existence and can be put together with algorithms to identify someone’s state of mind.
The action against such software-driven “affect recognition” was its top priority because science doesn’t justify the technology’s use and there is still time to stop widespread adoption, said by Institute at New York University.
The problem with this is that the technology is still on shaky ground and will detect what it does out of context. A person could frown from sheer emotion but also in reaction to something like pain.
For example, we can say how people, express disgust, fear, communicate anger, happiness, sadness, and surprise varies substantially across cultures, situations, and even across people within a single situation.
Fulginiti, an assistant professor of social work at the University of Denver said that, this algorithm can help us find a subset of people in a social network that gives us the best chance that youth will be connected to someone who has been trained in resource constraints and other uncertainties.
