Google has revised its privacy policy to allow the use of public data in training and developing AI products. The updated policy, effective from July 1, states that Google utilizes publicly available information to improve its services and create new products and features that benefit users and the public. This includes training AI models for products like Google Translate, Bard, and Cloud AI capabilities.
While the policy change doesn't directly impact user experience or existing Google products, it signifies the company's increased focus on AI and highlights the significance of public search behavior in shaping AI advancements.
Google has been exploring various AI initiatives, such as AI-driven shopping experiences, Google Lens enhancements, and a text-to-music generator. Despite initial mixed reactions to its AI chatbot, Bard, it has gained traction and now competes with other chatbots on the market. Additionally, Google has introduced the Search Generative Experience (SGE), an AI-powered search feature, as part of its expanding AI offerings. In a paradoxical move, Alphabet, Google's parent company, cautioned its employees about the security risks associated with chatbots just last month and released the Secure AI Framework to bolster cybersecurity against AI-related threats.
The introduction of new AI products has raised concerns related to privacy, intellectual property, and the potential impact on human labor and creativity. OpenAI, the developer of the popular AI bot ChatGPT, faced a class action lawsuit alleging the unauthorized acquisition of vast amounts of internet data without consent or compensation. These issues echo similar debates surrounding AI, such as the controversy surrounding ClearView AI, a facial recognition app that collected facial images from social media platforms. ClearView AI settled a lawsuit with the ACLU, imposing restrictions on the sale or distribution of its facial recognition database to private entities.
Google appears to be proactively informing users about its future AI endeavors, acknowledging that user searches contribute to enhancing AI capabilities. It is essential for users to be aware that their search queries can potentially contribute to training AI models and making AI bots more intelligent.
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