Combatting deepfakes: Policies to address national security threats and rights violations

View on arXiv ← Back to list

Authors: Andrea Miotti, Akash Wasil

Published: 2024-02-14 21:05:55+00:00

AI Summary

This paper proposes policy recommendations to mitigate deepfake threats by focusing on the entire deepfake supply chain, holding accountable model developers, providers, compute providers, and creators. The authors suggest a comprehensive approach to address the creation and proliferation of deepfakes, similar to regulations for child sexual abuse material and malware.

Abstract

This paper provides policy recommendations to address threats from deepfakes. First, we provide background information about deepfakes and review the harms they pose. We describe how deepfakes are currently used to proliferate sexual abuse material, commit fraud, manipulate voter behavior, and pose threats to national security. Second, we review previous legislative proposals designed to address deepfakes. Third, we present a comprehensive policy proposal that focuses on addressing multiple parts of the deepfake supply chain. The deepfake supply chain begins with a small number of model developers, model providers, and compute providers, and it expands to include billions of potential deepfake creators. We describe this supply chain in greater detail and describe how entities at each step of the supply chain ought to take reasonable measures to prevent the creation and proliferation of deepfakes. Finally, we address potential counterpoints of our proposal. Overall, deepfakes will present increasingly severe threats to global security and individual liberties. To address these threats, we call on policymakers to enact legislation that addresses multiple parts of the deepfake supply chain.

Key findings

The paper highlights the escalating threats posed by deepfakes, emphasizing the need for comprehensive policy interventions. It argues that current legislative efforts are insufficient and proposes a multi-faceted approach targeting the entire deepfake supply chain to effectively combat these threats. The authors also address potential counterpoints such as First Amendment concerns and the limitations of watermarking.

Approach

The proposed solution involves establishing liability across the deepfake supply chain. This includes holding model developers responsible for preventing their models from generating deepfakes, model and compute providers for monitoring and preventing malicious use, and creators for the creation and dissemination of deepfakes.

Datasets

UNKNOWN

Model(s)

UNKNOWN

Author countries

UNKNOWN

← Previous