Skip to main content

Get the Reddit app

Scan this QR code to download the app now
Or check it out in the app stores

r/Futurology

members
online

Hi everyone! I'm Juan Lavista Ferres, the Chief Data Scientist of the AI for Good Lab at Microsoft. Ask me anything about how we’ve used AI to tackle some of the world’s toughest challenges.

I’m the Chief Data Scientist of Microsoft’s AI for Good Lab, where I lead an incredible team of data scientists and researchers from around the world. Our mission is to use AI to drive progress around some of society's greatest challenges. 

My new book AI for Good: Applications in Sustainability, Humanitarian Action and Health is a culmination of our work at the Lab over the past 6 years. It includes an overview of the technology and a collection of case studies of the projects we’ve done in collaboration with an amazing network partner organizations.

It delves into our experiences applying AI to do things like:

  • Monitor global biodiversity through studying animals sounds

  • Diagnose vision problems in premature infants

  • Detect and manage medical conditions, like pancreatic and prostate cancers

  • Map renewable energy infrastructure

  • Assess building damage after conflict and disasters 

  • Investigate the social networks of giraffes

My goal of this book is to share possibilities and applications of AI, which the rise of generative AI in recent years has only amplified, and spark conversations about using new AI technology for social good.

Ask me anything about my new book how we’re using AI and data science to help solve the world’s biggest societal problems.

If you want to read more, check out my bio.

PROOF PIC: https://imgur.com/a/nTG34D0

That’s a wrap for me! Thank you for all your insightful questions. I had a lot of fun diving into everything today! To learn more about AI for Good Lab, check us out here: https://www.microsoft.com/en-us/research/group/ai-for-good-research-lab/


I’m a journalist who wrote about a grim yet revolutionary new technology that’s helping identify victims of mass disasters more quickly than ever before. It's called rapid DNA analysis, and what once took months or even years now takes just a few hours. Ask me anything.

I’m Erika Hayasaki, a journalist based in Southern California who writes for magazines including MIT Technology Review, The New York Times Magazine, The Atlantic, The Verge and Wired.

I recently wrote a story for MIT Technology Review about rapid DNA analysis, a new technology revolutionizing the way investigators identify victims of large disasters. Housed in a box the size of a microwave, this technology can be deployed quickly in the field, and following record-breaking fires over the past few years, it has effectively become the new standard.

When devastating wildfires swept through Maui in August 2023, Raven Imperial’s family was separated for days. After some 72 hours, they all found their way back to one another … except for the patriarch of the family, Rafael.

His family and friends spent a frantic month searching for “Uncle Raffy,” as he was known to locals on the island—following dead-end lead after dead-end lead. When his family eventually submitted a DNA sample, this new technology quickly confirmed what they had feared: Rafael had died in the blaze.

In the past, identifying victims of mass casualty events was a long and tedious process, and DNA testing was the longest, most challenging process of all—potentially taking years to make a positive identification. For instance, victims from 9/11 are still being identified by DNA. It was basically impossible to do this kind of analysis for hundreds of human remains.

But this new rapid DNA analysis takes just a matter of hours. It's a "game-changer," in the words of one expert. But unfortunately, the Imperials' experience is also a grim preview of how we’ll live in a future marked by increasingly frequent and catastrophic mass-casualty disasters.

I’m hosting an AMA on Monday, May 20 at 11 a.m. PDT/2 p.m. EDT. Ask me anything.

Proof pic here.