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Voice AI and authenticity: current issues and emerging challenges

Hanxun Huang, Christopher Leckie, Phoebe Matich, Anthony McCosker, Michael Richardson, Daniel Angus, Jake Goldenfein, Madeline Kelly, Awais Hameed Khan, Craig McCosker, Silvia Montaña-Niño, Mohana Rayaprolu, Michelle Riedlinger, Aaron J. Snoswell, Ned Watt, Daniel Whelan-Shamy, Kevin Witzenberger
Publisher
Assistive technology Digital communications Regulator strategy Automation Artificial Intelligence (AI) Technology ethical aspects Technology social aspects Technology economic aspects Australia
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download linkVoice AI and authenticity 1.64 MB
Description

Voice technologies are rapidly being integrated into generative artificial intelligence (AI) enabled systems and applications. These developments are provoking new questions, and intensifying old ones, in a wide range of everyday contexts. This working paper surveys and historically situates these developments, reviews the current literature in relevant fields, and outlines some emerging responses to the challenges such technologies present to the issue of authenticity in real-world settings.

The next wave of AI-enabled voice technologies has the potential to be helpful and useful in many communication, media and customer service settings, and to improve digital service provision. But these technologies also carry heightened risks of deception in interpersonal communication, change how information and culture is interacted with and valued, and amplify concerns around issues such as digital inequality and AI-driven labour displacement in knowledge and creative work – all areas where ideas about and struggles over ‘authenticity’ play a central role.

The multifaceted nature of voice synthesis technology demands a correspondingly layered approach to its ethical, legal, cultural and practical implications. As synthetic voices become more widely deployed, robust frameworks and regulatory responses are necessary to mitigate potential harms and foster accountability around responsible use and development of companies that offer voice AI services.

Publication Details
License type:
CC BY
Access Rights Type:
open
Series:
Working Paper 012