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16/06/24

18:20

Post #: 74339955
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Originally posted by markeewan: ↑

There are many applications for the digital human interface and some of those applications have higher risks associated.

Any application involving risk to human life is going to be lower down the priority listing. So for example air travel, space travel, medical diagnosis, pharmaceutical manufacture are probably going to be ten years away.

No risky industry will adopt until the technology of ChatGPT has been proven and this is going to take time to prove and may even require Government Guidelines before mass adoption.

Even so these industries can easily adopt the Guided Learning option of the Digital Human (as this does not use ChatGPT).

Having consistent training for staff in high risk industries is actually more important than other industries. Humans forget to tell stuff, they take sick days and staff miss a module, there are all sorts of reasons that the correct information is not imparted when a human is used.

Uniths Guided Learning option significantly improves the knowledge transfer in all of these industries, where it is vital that full training is given and recorded as recieved.

Even the Onboarding application would be better than a human could perform.

In the early days Unith should be targetting low risk industries, which is what is being seen in the Shopify example. Selling goods is generally a low risk application, providing tourist restaurant recommendations is low risk, providing HIV educational material, where there is follow up with a healthcare case worker.

My tip would be we will soon see the expansion of the work with the Ukraine and Global Fund, this application is very scaleable to other countries just by changing the language.

Even if your industry is not ready for adoption there are plenty of other applications that can be used right now.

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I think you're incorrect Mark, these digital humans can already be used in such 'risky' industries. For example these digital humans can be trained on very specific date sets and do not have to be linked up to a large language model.

You can train a digital human on literally 1000s of scientific research paper and 1000s of medical journals/medical text books so that it would only provide CORRECT answers. This could make them even more accurate than some human health professionals.

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General Discussion, page-4253

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