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

arXiv: https://arxiv.org/abs/2406.11859 · HTML: https://mlsanity.com/paper/2406.11859/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 42 references that are in the map.
- First posted on arXiv 10 Apr 2024.

## Builds on (most cited first, 6 of 6)

- [Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models](https://mlsanity.com/paper/2402.17177/) (2024)
- [World Models for Autonomous Driving: An Initial Survey](https://mlsanity.com/paper/2403.02622/) (2024)
- [Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy](https://mlsanity.com/paper/2307.13808/) (2023)
- [Sora Generates Videos with Stunning Geometrical Consistency](https://mlsanity.com/paper/2402.17403/) (2024)
- [Sora OpenAI's Prelude: Social Media Perspectives on Sora OpenAI and the Future of AI Video Generation](https://mlsanity.com/paper/2403.14665/) (2024)
- [The Machine Can't Replace the Human Heart](https://mlsanity.com/paper/2402.18826/) (2024)

## Built on by (most cited first, 3 of 3)

- [The Dawn of Video Generation: Preliminary Explorations with SORA-like Models](https://mlsanity.com/paper/2410.05227/) (2024)
- [RobustSora: De-Watermarked Benchmark for Robust AI-Generated Video Detection](https://mlsanity.com/paper/2512.10248/) (2025)
- [User Negotiations of Authenticity, Ownership, and Governance on AI-Generated Video Platforms: Evidence from Sora](https://mlsanity.com/paper/2512.05519/) (2025)

## Abstract (arXiv)

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.