Services like OpenAI's ChatGPT, Microsoft's Copilot, and Google's Bard all share a common thread: they are powered by massive AI models trained on vast amounts of text data. It's this extensive training that enables their ability to understand text and respond to questions across a wide range of topics.

These models in these services are trained by collecting publicly available text data from the internet. There is an ongoing debate about the ethics of using data that people have published on the internet to train AI models. However, today, I will not take a stance on that debate. Instead, I want to explore the consequences of an alternative development where companies begin to use non-public data to train their models.

In addition to public data, there is a vast amount of information on the internet that is not public. This can include your emails, private messages on social media platforms like Facebook and Instagram, or video calls via platforms like Microsoft Teams, Google Meet, or Zoom.

Recently, the video conferencing service Zoom found itself in a storm of controversy when they updated their user terms. The new terms were interpreted by some as giving Zoom the right to use user data to train its AI models without users having to provide their consent.

It is important to reflect on these developments and consider the potential consequences of using non-public data to train AI models. One of the concerning risks is the potential for sensitive and confidential information to be used without users' consent. The discussion on the ethics of using customer data in AI training is crucial to ensure both privacy and fair user terms in the rapidly growing world of artificial intelligence. Ongoing dialogue and transparency are key elements in ensuring that our digital advancements respect and protect users' privacy.

It's worth noting that at Klang.AI, we highly value your privacy and will never use data uploaded by users to train AI models without their explicit consent. Your data is valuable, and it's important that it is handled with care and respect in AI development. Let's continue to explore these issues together and strive for a balance between technological innovation and respect for individual privacy and rights.