Generative AI and deepfakes: a human rights approach to tackling harmful content-Reference-Cited by-同舟云学术

Generative AI and deepfakes: a human rights approach to tackling harmful content

Published:2024-03-29 Issue: Volume: Page:1-30
ISSN:1360-0869
Container-title:International Review of Law, Computers & Technology
language:en
Short-container-title:International Review of Law, Computers & Technology

Author:

Romero Moreno Felipe¹

Affiliation:

1. Hertfordshire Schools of Law and Education, University of Hertfordshire, Hatfield, UK

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13600869.2024.2324540

Reference48 articles.

1. Ajder H. and J. Glick. 2021. “JUST JOKING! Deepfakes Satire and the Politics of Synthetic Media.” https://cocreationstudio.mit.edu/just-joking/.

2. Barrington S. Romit Barua Gautham Koorma and Hany Farid. 2023. “Single and Multi-Speaker Cloned Voice Detection: From Perceptual to Learned Features.” ArXiv. https://arxiv.org/abs/2307.07683.

3. Biometric Update. 2024. “Deepfake Videos Looked So Real that an Employee Agreed to Send Them $25 Million.” https://www.biometricupdate.com/202402/deepfake-videos-looked-so-real-that-an-employee-agreed-to-send-them-25-million.

4. Brookings. 2024. “Detecting AI Fingerprints: A Guide to Watermarking and Beyond.” https://www.brookings.edu/articles/detecting-ai-fingerprints-a-guide-to-watermarking-and-beyond/.

5. What Does it Mean for a Language Model to Preserve Privacy?

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