🚨What are Google's Gemini's training data sources? Why are tech companies allowed to hide this information? After digging into Google's various Terms of Service and Privacy Policies, this is what I found: "We process information from publicly accessible sources and your Gemini Apps information so that we can provide, maintain, improve, and develop Google products, services, and machine learning technologies." ➡️Questions: ➵ What publicly accessible sources? ➵ What is Google's approach to "publicly accessible"? ➵ What is included and what is excluded? ➵ What are special precautions taken to protect personally identifiable information? ➡️How is it possible that one of the largest and most valuable tech companies in the world does not have additional information to share about how they train their massive AI systems? ➡️How can we properly scrutinize tech companies and their AI systems if they get away with very low transparency standards? ➡️For those that did not realize, from a legal perspective, tech companies' trick has been the following: ➵ They focus on how they use user input data (the data users input while interacting with the AI system), sometimes allowing users to use the system anonymously, telling users not to input confidential information, and so on; ➵ They make sure to hide the details about the training dataset, including the data sources and the detailed composition of the data used to train their AI systems. ➡️Remember OpenAI's Mira Murati's interview in which she could not specify Sora's training data sources? It's the same lack of transparency. ➡️Why not a mandatory information sheet, easily accessible from the product itself, with the training dataset's sources, compositions, possible biases, and so on? ➡️We must overcome this phase of the "AI economy" and start enforcing stronger transparency obligations on AI companies. - ➡️For the latest info on AI policy & regulation, subscribe to my weekly newsletter.