OpenAI‘s Sora Faces Deepfake Surge and IP Concerns Just Weeks After Launch
PARIS – OpenAI’s Sora, the text-to-video AI model unveiled just weeks ago, is already grappling with a flood of deepfakes and potential intellectual property infringements, raising concerns about the platform’s ability to control misuse. reports indicate a proliferation of AI-generated videos circulating online, some utilizing copyrighted characters and content without authorization.
The rapid emergence of these issues underscores the challenges of deploying powerful AI tools in a landscape vulnerable to disinformation and unauthorized content creation.Sora, positioned by some as a potential “tiktok of AI,” allows users to create realistic videos from text prompts, but its ease of use is simultaneously enabling the swift production of deceptive and possibly harmful content. The situation impacts content creators,intellectual property holders,and the public’s trust in online media,with the potential for escalating legal battles and increased scrutiny of AI-generated content.
according to Les Numeriques, videos generated by Sora are currently marked with a watermark intended to identify them as AI-created. This is a preventative measure against the spread of misinformation, especially given the rise of sophisticated deepfakes mimicking news channels and other authoritative sources. However, the report notes that tools to remove these watermarks are likely to emerge, potentially allowing malicious actors to distribute deceptive videos without attribution.
Notably, the Wall Street Journal reported that Disney would likely oppose the use of its characters within Sora-generated content, effectively preventing their inclusion. Nintendo, however, has not yet publicly taken a stance.
The proliferation of deepfakes and disinformation fueled by tools like Sora presents a significant and growing threat. As AI technology continues to advance, the ability to distinguish between authentic and synthetic content will become increasingly tough, demanding robust detection methods and proactive measures to mitigate the risks.
