Using AI to Predict Death with Sune Lehmann

In this week’s episode, we welcome Sune Lehmann, a network and
complexity scientist at the Technical University of Denmark. Sune
shares insights into his revolutionary work using algorithms to
predict health outcomes, income, and mortality, drawing on
extensive datasets from Danish citizens. He emphasizes the power
of viewing human lives as sequences of events, akin to language,
and how this perspective can lead to groundbreaking predictions
about individuals' futures. We also get into the ethical
considerations and future implications of this research,
highlighting the balance between predictive accuracy and the
importance of shared risk in insurance. Additionally, he touches
on the once-Danish-now-global phenomenon of cold water swimming,
illustrating how this practice offers a unique sense of
well-being and mental clarity.

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Key Moments“From a certain perspective, human lives
are sequences, right? You're born, you are seen by a doctor. They
do some measurements and all of that information can be
structured to create, let's say, the sentence of your life.

And so what we did is that we took an enormous dataset and we
used the same technology that lies underneath the AI large
language models, and we built a kind of general model for human
lives.”

“That model, as long as you have training data, can really
predict anything about humans. I mean, it might do things with
kind of varying quality, but for the things that we've tested it,
it performs better than any other algorithm that we can
find.”

“So lots of people have kind of contacted me saying let's let's
use this for something that's actually meaningful and useful. And
I think, you know, what's amazing about what we do is that we
also model not just the medical data, but the data around the
life that people live.”

Connect with Sune
Artificial intelligence can predict events in people's lives

Personal website


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Transcript


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