Starry-Eyed and Sobering Views on AI in Biology

If data is the new oil in an AI centric world, then amassing ever-larger multidimensional datasets can only be a good thing. 

But how can we use these datasets to gain deeper insight into biology?

This is the question we try to answer in season 1’s final episode. Between us, we bring views of the AI optimist and skeptic—with starry-eyed visions and sobering realities—to the table before reaching a conclusion.

Conversation highlights

00:00 - Introduction

01:18 - A vision for multidimensional datasets fueling better experiments

03:37 - AI and myth-busting: “It’s not magic”  

09:15 - Risks of combining datasets for making “pizza” and “ice cream”

10:11 - Ideals and potential low-hanging fruit for AI in biology

13:09 - Thinking about AI as collective memory
18:16 - Combining human and artificial intelligence is key