The Federal Commissioner for Data Protection and Freedom of Information of Germany, also known as BfDI (Federal Commissioner . Examples of Generative AI applications include well-known chatbot ChatGPT and the image generator MidJourney, among others. While this technology is fascinating from a technological standpoint, it poses significant challenges in terms of regulation, particularly in the field of personal data protection Era of Generative.
Use of Generative AI in the workplace Era of Generative
Generative AI is gradually finding its way into everyday work applications such as word processors, code copilots, and search engines. This integration lowers the barrier for the use of Generative AI, making it increasingly commonplace. In this regard, usa business fax list employers have a responsibility to:
- Always adhere to the General Data Protection Regulation (GDPR).
- Avoid indiscriminate use of personal data when utilizing Generative AI, even if it simplifies work processes.
- Only process personal data through Generative AI applications when there is a legal basis for such processing.
The Commissioner also emphasizes that employers have a duty to ensure that employees are trained and educated on these matters.
Children’s data
Children are particularly vulnerable in terms of their personal data processing since they often lack awareness of the risks and consequences involved and may struggle to exercise their data subject rights effectively. As a general rule, how to customize tables in wordpress? the personal data of minors should not be included as a training base for generative AI systems. It is the responsibility of developers to implement measures to ensure this, for example, by filtering training data to exclude minors’ personal data .
Image generators
Generative AI applications specialized in generating images pose a great risk from a data protection point of view since they can be used. Generate deepfakes and spread false information about natural persons. Furthermore, united states business directory images generated by AI can be very difficult to discern from real images, increasing the difficulty to correct misinformation. Even if the false images are stated as false post-facto.