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Working paper
Resources
Description

This working paper examines multimodal foundation models (MFMs), a type of generative artificial intelligence (AI) that can process and output multiple data types, such as text, images and audio. It discusses some of the implications of this technology for consumer protection, competition, the media and information environment, privacy, and online safety within the digital platform context.

Findings

  • Some aspects of the Digital Platform Regulators Forum (DP-REG) members’ existing regulatory frameworks can address the harms arising from MFMs. Where these frameworks apply, regulated entities across the economy using MFMs remain subject to consumer, competition, privacy, online safety and media laws or regulations. These entities are expected to comply with their obligations under these frameworks. 
  • In some cases, there are also new requirements, such as online safety codes and standards registered in 2023-24, which apply to certain services deploying or providing access to MFMs.
  • At the same time, some proposed reforms under government consideration could further strengthen protections against these harms. 
  • The Australian Government is currently considering potential reforms in relation to consumer protection, competition, privacy, online safety and misinformation and disinformation. The government is also progressing work through a range of other processes, including its work on Safe and Responsible AI. 
  • DP-REG members will continue to apply existing frameworks and engage with government on these issues to ensure the digital economy is a safe, trusted, fair, innovative and competitive space.
Publication Details
License type:
CC BY
Access Rights Type:
open
Series:
Working paper 3