The Download: combating audio deepfakes, and AI in the classroom

MIT Technology Review - AI
Jul 15, 2025 12:10
Rhiannon Williams
1 views
airesearchtechnology

Summary

A new technique called "machine unlearning" could enable AI text-to-speech models to forget how to imitate specific voices, helping to combat the misuse of audio deepfakes. This development has significant implications for privacy and security, potentially reducing the risks of voice-based identity theft and misinformation in the AI field.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. AI text-to-speech programs could one day “unlearn” how to imitate certain people The news: A new technique known as “machine unlearning” could be used to teach AI models to forget specific voices. How…

Related Articles

Live AI interviews speech to speech

Hacker News - AIJul 17

RecrootIQ has introduced a live AI interview platform that enables real-time, speech-to-speech interactions between candidates and AI interviewers. This technology streamlines the interview process by allowing natural, conversational assessments, potentially increasing efficiency and accessibility in hiring. Its development highlights the growing role of AI in automating and enhancing human resource functions.

The ChatGPT "Awakening": Why Your AI Seems Alive (But Isn't)

Hacker News - AIJul 17

The article explores why conversational AIs like ChatGPT can appear sentient, attributing this perception to their advanced language abilities and human tendency to anthropomorphize technology. It emphasizes that, despite seeming "alive," these models lack true understanding or consciousness, underscoring the importance of public awareness about AI's actual capabilities and limitations. This has significant implications for how society interacts with and regulates AI systems.

Kling AI Alternatives That Support Multiple Visual Creation Modes

Analytics InsightJul 17

Several alternatives to Kling AI now offer multiple visual creation modes, enabling users to generate diverse types of images and videos from text prompts. These tools expand creative possibilities and signal rapid innovation in multimodal AI, making advanced content generation more accessible to a wider audience. This trend highlights growing competition and accelerated development in the AI visual creation space.