There are numerous advantages to generative AI, but they are not without their shortcomings. First and foremost is authenticity. utilizes already existing data for creating new outputs. Some voices raised hesitancy regarding plagiarism or displacement of the human element.
Another important concern is bias, as generative AI often must use models that may reflect existing biases present in their training data. This could produce biased or incorrect outputs, so developers need to address the problem.
Data privacy is also a critical issue. Using large datasets with user data presents a risk in protecting users’ information.
