Being a doctor is one of the jobs expected to be least at risk from AI replacement. But a new program launched in Utah is raising questions over that assumption. A healthcare startup will begin offering AI examinations and prescriptions to patients without direct human oversight, making Utah the first state to replace a doctor with an AI.
The good news is that the program is currently very limited in its scope. It’s just one year long and only for patients with mild-to-moderate acne.
The process works when a person signs up for Nolla Health’s $4.99-per-month app and uses it to scan their face. After completing a medical history and personal information form, the AI analyzes their skin, identifies the acne problem, rates the skin’s oiliness, and then generates a numerical acne severity score that ranges between clear skin and severe acne, reports Bloomberg.
I am beginning to grasp where this misunderstanding is coming from.
You are claiming that the process a CNN used in computer vision would go through in order to identify acne is different than facial recognition.
It is not. The only difference is what the y axis of the training data is, the compression of the data through an encoder layer, the subsequent re-expansion, all of that is identical and it is precisely what leads to bias.
I did read the article, reading the article is what enabled me to come to this conclusion.
Furthermore, the company doing this certainly didn’t build an entirely novel CV architecture for this task. They are likely using one of the already existing models along with already existing training data to fine tune it. This only increases the probability of bias.
To your point about limited doctors. That problem is entirely self inflicted. The US deliberately keeps the number of doctors low. This is what I mean about equipping existing knowledge workers with the skills to more effectively do their jobs. Offloading cognition to AI has long term ramifications that its benefits simply do not compensate for in ways that couldn’t be achieved more productively.