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
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