Image credit: Concordia University

Current Issue – June 2024

Fixing AI With Interdisciplinary Approaches

Large language models (LLMs) have emerged as a disruptive force. While AI-generated responses can initially seem impressive, LLM and AI generated texts suffer from multiple risks, including hallucination and inaccuracy [2]. The rise of these AI tools impacts student learning, the practice of teaching and research, and a host of white-collar jobs. Among the challenges related to incorporating AI tools in human labor are three interconnected concerns: the extent to which AI tools can replace human workers, the data on which algorithms are trained, and whether these tools improve human working conditions. The issues are related to the technology itself as well as the choices made in deploying these technologies.

Free Online Content


Front Cover
ISTAS 2024
Table of Contents
President's Message
Advancing Science and Technology Policy
Luis Kun  
From the Editor-in-Chief
When Not to Use AI
Ketra Schmitt  
Introducing the Editorial Board—Part II
Ketra Schmitt; Diana M. Bowman; Safiya U. Noble; Stephen Cranefield; A. David Wunsch; Peter Lewis  
Book Review
A Book of Waves—Stefan Helmreich
Carl Wunsch  
Rainbow Mirrors: Technology and Our Collective Moral Imagination
Mathew Mytka; Alja Isakovic  

NOTE: Most IEEE Technology and Society Magazine columns and department articles are publicly accessible at no charge. Click on the title of any non-refereed article to read.

SSIT membership (subscription) is required to access refereed articles (marked with asterisk).