David Hand: Ai, Dark Data, LLMs, Peer Review
Theories of Everything with Curt Jaimungal
00:00
The Shadows of Data
This chapter examines the critical issue of missing data in emergency situations, highlighting how reliance on observable metrics can misdirect resources during disasters. It explores the concept of 'dark data', detailing its implications in contexts like public health and writing, while also addressing the challenges academics face in effectively communicating complex ideas. The discussion further extends to the biases present in machine learning, emphasizing the need for a broader understanding of data types that aren't typically acknowledged.
Transcript
Play full episode
