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AI and automated decision-making in news and media

Key technologies and emerging challenges
Louisa Bartolo, Nicholas Carah, Dominique Carlon, Jeffrey Chan, Sam Kininmonth, Amanda Lawrence, Ramon Lobato, Ariadna Matamoros-Fernández, Silvia Ximena Montaña-Niño, Lucinda Nelson, Jing Qian, Aaron Snoswell, Damiano Spina, Arjun Srinivas, Nicholas Suzor, Avantik Tamta, Patrik Wikstrom, Joanna Williams
Publisher
Search engines News media Digital news Advertising Artificial Intelligence (AI) Autonomous technologies Machine learning Australia Communications 2024
Resources
Description

Automated systems and processes are a common feature of the news and media environment. This report introduces four key examples: search, recommendation, automated content moderation and curation, and advertising technology (AdTech).

The authors provide a basic explanation of how these systems work at the technical level and show how they operate in context, drawing on examples and case studies across news and media. They then map emerging challenges associated with the use of each technology across the news and media environment, drawing on peer-reviewed research from multiple disciplines.

The findings and outcomes of current research in this area from the ARC Centre of Excellence for Automated Decision-Making and Society are featured throughout.

The authors end by identifying several critical areas where future work is needed to help ensure the safe and responsible deployment of automated systems across news and media.

Publication Details
DOI:
10.60836/qnz4-kw43
License type:
CC BY-NC-SA
Access Rights Type:
open