Some ethical concerns include:
Bias and Fairness
AI bias, sometimes known as machine learning bias or algorithm bias, describes AI systems that generate results reflecting and reinforcing human biases present in society. This includes both historical and ongoing social inequalities.
Transparency
AI transparency involves understanding how AI systems make decisions, the reasons behind their results, and the data they utilize.
Privacy
Generative AI tools can collect and store user data when users sign up. Awareness of data privacy and transparency in handling user information are essential when using these tools.
For additional information, please refer to this article: Exploring privacy issues in the age of AI | IBM