We would like to invite you to another Ethics & Coffee event with Liran Razinsky (Associate Professor, The Program for Hermeneutics and Cultural Studies, Bar Ilan University, Israel): How well can algorithms know us?
Dr. Liran Razinsky will explore the widely circulated idea that big data AI algorithms will soon be able to know people “better than they know themselves.” He will address this idea from two perspectives. First, he argues for the particular subjective qualities of experience and self-understanding issuing from the constitutive role of our reflexive relation to ourselves. These are not “known” by the algorithms. He will then address our fundamental opacity to ourselves and the biased, partial, and limited nature of human self-understanding. Our failure to know ourselves is however essential to our subjectivity and therefore, to know a subject in a perfect way that bypasses these limitations is actually not to know them. Taken together, both directions show that while algorithmic knowledge of humans can be vast, and can outperform their own knowledge, it remains foreign to their subjectivity and cannot be said to be better than self-understanding.
Thursday, September 28, from 11am to noon.
Location:
In-person: Conference room 115 of the Savant Building.
Online: https://bit.ly/3LBixjE
For questions: michael.hoffmann@pubpolicy.gatech.edu