Check out our list of top companies

Check out our carefully compiled lists of the most relevant and impactful companies within their fields.

Check out our list of top unicorns

Read and learn about the biggest companies that various countries have produced, how they made it, and what the future looks like for them.

Top Privacy Risks of Using Generative AI

As ChatGPT, Google Gemini, Microsoft Copilot, and Apple Intelligence become popular, consumers care for privacy concerns
July 15, 2024

As generative AI tools become more prevalent, many consumers are excited about their potential for personal and professional use. However, the privacy implications of these tools often fly under the radar. From OpenAI’s ChatGPT to Google’s Gemini and Microsoft Copilot, these applications can greatly enhance productivity but come with varying privacy policies regarding user data and its retention.

In an age where these AI tools are embedded in our daily lives, understanding their privacy practices is crucial. Jodi Daniels, CEO of Red Clover Advisors, emphasizes the importance of informed decision-making, stating that there is no universal opt-out across different platforms. Therefore, consumers must carefully examine how their data is used and whether they have control over its sharing and retention.

To safeguard privacy while using generative AI, consumers can take several proactive steps. First, it's essential to ask the right questions regarding data usage and retention policies before selecting a tool. If a provider doesn’t clearly communicate how it handles data, it could be a warning sign. For instance, companies like Grammarly openly detail their data policies, which can build trust.

Additionally, avoid entering sensitive information into these AI models. Andrew Frost Moroz, founder of Aloha Browser, advises against sharing confidential data, as it can be incorporated into AI training without the user's knowledge. Companies are increasingly cautious about AI use to protect proprietary information, urging users to think critically about the type of information they share.

Moreover, many AI tools offer opt-out options for data sharing, such as Gemini’s retention settings and ChatGPT’s model training opt-out. Jacob Hoffman-Andrews from the Electronic Frontier Foundation warns that once data is included in an AI model, retracting it isn’t straightforward, making it vital to use these tools judiciously.

As generative AI continues to integrate into everyday software like Microsoft’s Copilot, users can opt-in for enhanced features. However, this decision requires careful consideration of how much control they are willing to relinquish over their data. The good news is that opting in doesn’t have to be permanent; users can withdraw consent if they choose.

Maintaining privacy while utilizing generative AI involves setting short retention periods for search queries and deleting chats when possible. While server logs may still exist, taking these steps can help minimize risks.

Navigating the landscape of generative AI tools with a focus on privacy is essential for consumers. By understanding the implications of their choices, users can harness the power of AI while safeguarding their personal information.

More about:  | |

Last related articles

chevron-down linkedin facebook pinterest youtube rss twitter instagram facebook-blank rss-blank linkedin-blank pinterest youtube twitter instagram