Starry-Eyed and Sobering Views on AI in Biology

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

<p>But how can we use these datasets to gain deeper insight into biology?</p>

<p>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.</p>

<p><strong>Conversation highlights</strong></p>

<p>00:00 - Introduction</p>

<p>01:18 - A vision for multidimensional datasets fueling better experiments</p>

<p>03:37 - AI and myth-busting: “It’s not magic”  </p>

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

<p>10:11 - Ideals and potential low-hanging fruit for AI in biology</p>

<p>13:09 - Thinking about AI as collective memory<br />18:16 - Combining human and artificial intelligence is key</p>