OpenAI, a leading force in the field of artificial intelligence (AI), has expanded beyond its ChatGPT model and now offers AI in various formats, including image and video generation based on simple prompts or text.
However, the company has faced scrutiny regarding its data policies and acquisition methods for training its AI models. Notably, OpenAI was recently embroiled in a legal battle with The New York Times, which alleged that the AI giant trained its models using NYT articles without authorization.
In a recent interview with OpenAI’s Chief Technology Officer (CTO) Mira Murati, questions were raised about the data used to train its latest AI model, Sora. Murati faced inquiries from The Wall Street Journal, with many eager to uncover the company’s data acquisition methods and processes.
When asked about the data sources for training Sora, Murati stated that OpenAI utilized publicly available data as well as licensed data. However, when pressed further about the specifics of the publicly available data and its sources such as YouTube and Facebook, Murati appeared uncertain and declined to provide detailed insights into OpenAI’s data acquisition practices.
This lack of transparency regarding data sources poses ethical concerns for OpenAI and other AI companies. Transparency is crucial in ensuring the legitimacy and credibility of AI-generated responses, especially as AI models are increasingly being integrated into various industries to replace human labor. Recent controversies surrounding Google’s image generator have only heightened these concerns.
Despite having Microsoft as a partner, incidents like these undermine public trust in the future of AI, particularly as OpenAI aims to introduce an AI-powered search engine to the market in the near future. Without transparent data practices, there is a risk of skepticism and apprehension among the public regarding the ethical use and development of AI technology.
