Deep Learning and Ethics

Author:

Travis LaCroix, Simon J. D. Prince

Keyword:

Computer Science, Artificial Intelligence, Artificial Intelligence (cs.AI), Computers and Society (cs.CY), Machine Learning (cs.LG)

journal:

date:

2023-05-23 16:00:00

Abstract

This article appears as chapter 21 of Prince (2023, Understanding Deep Learning); a complete draft of the textbook is available here: http://udlbook.com. This chapter considers potential harms arising from the design and use of AI systems. These include algorithmic bias, lack of explainability, data privacy violations, militarization, fraud, and environmental concerns. The aim is not to provide advice on being more ethical. Instead, the goal is to express ideas and start conversations in key areas that have received attention in philosophy, political science, and the broader social sciences.

PDF: Deep Learning and Ethics.pdf