"Sora is Incredible and Scary": Emerging Governance Challenges of Text-to-Video Generative AI Models

TL;DR

This paper analyzes social media reactions to Sora, a text-to-video AI, highlighting concerns about industry impact, authenticity, privacy, copyright, and proposing early regulation and public education.

Contribution

It provides a qualitative social media analysis of public perceptions and concerns regarding Sora's emerging governance challenges and suggests policy recommendations.

Findings

Public concerns about industry disruption and authenticity.

Emerging governance issues include privacy, copyright, and environmental impact.

Proposed regulatory solutions involve labeling and AI literacy education.

Abstract

Text-to-video generative AI models such as Sora OpenAI have the potential to disrupt multiple industries. In this paper, we report a qualitative social media analysis aiming to uncover people's perceived impact of and concerns about Sora's integration. We collected and analyzed comments (N=292) under popular posts about Sora-generated videos, comparison between Sora videos and Midjourney images, and artists' complaints about copyright infringement by Generative AI. We found that people were most concerned about Sora's impact on content creation-related industries. Emerging governance challenges included the for-profit nature of OpenAI, the blurred boundaries between real and fake content, human autonomy, data privacy, copyright issues, and environmental impact. Potential regulatory solutions proposed by people included law-enforced labeling of AI content and AI literacy education for the public. Based on the findings, we discuss the importance of gauging people's tech perceptions early and propose policy recommendations to regulate Sora before its public release.