AI in health is overrated. Find out what's missing and why

Researcher(s)

Dr. Brigitte Piniewski

Date of Talk

Bio

A trailblazing figure at the intersection of medicine, decentralized technology and AI, Dr. Brigitte Piniewski is at the forefront of the web3 healthcare evolution. She captivates audiences with a clear and actionable perspective on the immense possibilities of securely channeling crowd-sourced health expression data sets for unparalleled AI training. Revolutionary health intelligence hinges on two pillars: the promise of enduring privacy with self-management of personal data plus the permissioned prowess of sophisticated machine learning. Dr. Piniewski covers how a dramatic elevation in personally relevant health intelligence is poised to not only enable cutting-edge products and services but also a myriad of new data-dependent business models which will lay the foundation for society’s next leap in wealth production. Her seminal book, “Wealthcare: Demystifying Web3 and the Rise of Personal Data Economies”, also available as an NFT, is an essential guide for anyone aiming to spearhead innovations in healthcare. Participants are encouraged to access the following materials before the event https://www.linkedin.com/in/brigittep... 

https://www.blockhealth.us/ 

https://www.linkedin.com/pulse/ais-bl... 

https://www.linkedin.com/pulse/who-co... 

https://www.alexandriabooks.com/colle... 

https://www.amazon.com/s?k=wealthcare...

Abstract

Today technological advancements soar, while citizen health declines. Generating poor health requires little to no effort. Our busy lives provide ample opportunity to accumulate co-occurrences that track towards adverse health outcomes without our knowledge or expressed consent. Meanwhile, artificial intelligence (A) alignment is a pressing priority. Enter the transformative potential of Web3 technologies, which promise a secure, decentralized framework for digitizing and managing the ebb and flow of personal health details. We propose a pioneering "3-zone model" for personal data governance, designed to honor individual privacy while offering granular insights for industry application and commercialization. This model not only respects the person behind the data but also incentivizes participation through tokenization, ensuring that individuals economically benefit from the value their data generates. Join us as we delve into the intersection of AI, Web3, and personal health data, laying the groundwork for a new era of both personalized health intelligence as well as society’s next wealth inflection point.

External Link

Read the Research Paper

First Nations land acknowledegement

We acknowledge that the UBC Point Grey campus is situated on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm.


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