Google Warns Their Employees Against Using Bard Chatbot

Google warns employees not to use its new Bard chatbot, citing concerns about the potential for leaks of confidential information.

By Manoj

Google has warned employees against using its new Bard chatbot, citing concerns about the potential for leaks of confidential information.

In an email to employees, Google’s legal department said that Bard is still under development and that there is a risk that employees could inadvertently share sensitive information with the chatbot.

“We are still in the early stages of developing Bard and we are working to improve its security and privacy features,” the email said. “In the meantime, we recommend that you do not use Bard to discuss confidential information.”

The email also said that Google is working on a way to allow employees to safely use Bard for non-confidential purposes.

Bard is a large language model chatbot developed by Google AI. It is trained on a massive dataset of text and code, and it can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

Google’s decision to warn employees against using Bard is a sign of the growing concern about the potential for large language models to be used to leak confidential information. In recent months, there have been several high-profile cases of employees using large language models to share sensitive information, including trade secrets and financial data.

Google’s warning is a reminder that large language models are still under development and that there are risks associated with using them. If you are considering using a large language model, it is important to weigh the risks and benefits carefully.

Here are some tips for using large language models safely:

  • Only use them for non-confidential purposes.
  • Be careful about what information you share with them.
  • Do not use them to create content that could be used to harm others.
  • Be aware of the potential for bias in the data that they are trained on.

By following these tips, you can help to protect yourself and your company from the risks associated with large language models.


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