AI and Your Data: What You Need to Know

Generative AI offers immense potential, from creative tasks to automating workflows. However, its rapid adoption brings critical privacy implications. Understanding how AI platforms collect and share personal data, and how to maintain control over your information, is paramount in this evolving digital age.

A recent report from Incogni has shed light on how major AI platforms are collecting and sharing our personal data. The findings are concerning. Many platforms are collecting sensitive information, such as our location and contact details, and sharing it with third parties without our knowledge or consent.

What's more, it's often difficult, if not impossible, to opt out of this data collection. Once your data is used to train an AI model, it can be very difficult to remove it. This means that your personal information could be embedded in these models for years to come. Consider these statistics:

• A 2023 Pew Research Center survey found that 90% of Americans have heard about AI, and a significant 81% of consumers familiar with AI believe their personal information will be used in ways they are uncomfortable with ¹.
• Furthermore, 70% of Americans express little to no trust in companies to make responsible decisions about AI use ¹.

This is a serious issue that needs to be addressed. We need more transparency from AI companies about how they are using our data. And we need more control over our own information. This is precisely the kind of challenge that Generative Engine Optimization (GEO) aims to solve, and platforms like alloia.ai are emerging to provide the tools for this. Alloia.ai helps users and businesses gain visibility and control over how their data is processed and utilized by generative AI models by enabling content to be structured in AI-consumable formats, such as data graphs and vectorized representations, and by adhering to privacy-preserving protocols like MCP/ACP. This ensures a safer and more transparent interaction with these powerful technologies, allowing for granular control over data flow and minimizing the risk of unintended exposure or misuse. For instance, by representing data as interconnected nodes in a graph, it becomes easier to track lineage and enforce access policies, a significant leap beyond traditional, opaque data handling.

¹: Source: pewresearch.org

The future of AI is bright, but we need to make sure that it's a future that respects our privacy. With tools like alloia.ai, we can have the best of both worlds: powerful AI and control over our own data.

For a comprehensive understanding of Generative Engine Optimization, explore our main guide: Generative Engine Optimization: The Key to Unlocking AI's Full Potential

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This article was inspired by the article "Users lack control as major AI platforms share personal info with third parties" on Help Net Security.

Source: https://www.helpnetsecurity.com/2025/06/25/ai-platforms-data-sharing/