"Sora is Incredible and Scary": Emerging Governance Challenges of Text-to-Video Generative AI Models
This addresses governance challenges for policymakers and the public regarding emerging text-to-video AI models, though it is incremental as it applies existing social media analysis methods to a new topic.
The paper conducted a qualitative social media analysis of 292 comments to uncover public perceptions and concerns about Sora's text-to-video AI model, finding that people were most concerned about its impact on content creation industries and identified governance challenges like copyright issues and blurred reality boundaries.
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.