Examining the Implications of Deepfakes for Election Integrity
Abstract
It is becoming cheaper to launch disinformation operations at scale using AI-generated content, in particular 'deepfake' technology. We have observed instances of deepfakes in political campaigns, where generated content is employed to both bolster the credibility of certain narratives (reinforcing outcomes) and manipulate public perception to the detriment of targeted candidates or causes (adversarial outcomes). We discuss the threats from deepfakes in politics, highlight model specifications underlying different types of deepfake generation methods, and contribute an accessible evaluation of the efficacy of existing detection methods. We provide this as a summary for lawmakers and civil society actors to understand how the technology may be applied in light of existing policies regulating its use. We highlight the limitations of existing detection mechanisms and discuss the areas where policies and regulations are required to address the challenges of deepfakes.
Cite
@article{arxiv.2406.14290,
title = {Examining the Implications of Deepfakes for Election Integrity},
author = {Hriday Ranka and Mokshit Surana and Neel Kothari and Veer Pariawala and Pratyay Banerjee and Aditya Surve and Sainath Reddy Sankepally and Raghav Jain and Jhagrut Lalwani and Swapneel Mehta},
journal= {arXiv preprint arXiv:2406.14290},
year = {2024}
}
Comments
Accepted at the AAAI 2024 conference, AI for Credible Elections Workshop-AI4CE 2024