Using AI in Mental Health

Context: AI must be developed responsibly to improve mental health outcomes

It is a delicate and potentially dangerous matter when self-validating commercial incentives and their accelerated technical metamorphoses have taken the center of surveilling, assessing and aspirationally recalibrating human experience in this way.

I quite often wonder about the compound, composite ironies of a world in which tools intended to self-simulate humanity have come to reshape us and our communities in such potentially unhealthy and unhelpful ways. The signal that is being amplified here in health, much as elsewhere, seems to be that of accelerated discovery and definition without ample consideration of the actual human beings embedded in and swept along by this self-propagating vortex of change.

If we do not, perhaps can never, fully understand the breadth and depth of the human mind in all its glory and suffering, what does it say of us that we seek to accelerate the retrospective assertion of facts from datapoints that themselves remain symptomatic of a deeper and conspicuous absence of complete explanation? The technological is grounded in a teleology which is uncertain, incomplete, volatile.

There are much broader cultural narratives to be considered, somewhat masked by the absence of any authority or collective wisdom as to how, what and why commercial actions and their improperly regulated technical systems might actually do much more harm than good here.

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