Cover Image
QR Code

Chapter 9: Historical Evidence, Artificial Intelligence, and the Black BoxEffect.

The article delves into the challenges posed by algorithmic systems, using the case of State v. Loomis to illustrate the difficulties of accessing and interpreting historical evidence in the age of artificial intelligence (AI). It explores the concept of the "black box effect," highlighting how AI s...

Full description

Published in:Transactions of the American Philosophical Society Vol. 112; no. 3; pp. 175 - 201
Main Author: Sternfeld, Joshua
Format: Article
Published: University of Pennsylvania Press 2023
Subjects:
Artificial intelligence
Social science methodology
Machine learning
Scientific knowledge
Human facial recognition software
Social isolation
Online Access:View this record in EBSCOhost
Summary:The article delves into the challenges posed by algorithmic systems, using the case of State v. Loomis to illustrate the difficulties of accessing and interpreting historical evidence in the age of artificial intelligence (AI). It explores the concept of the "black box effect," highlighting how AI systems often operate opaquely, rendering their processes and data inaccessible to human observers. It proposes a historical methodology for studying AI systems as black boxes.