What Ethical Risks Emerge From Rapid Generative AI Model Deployment?
The rapid deployment of generative AI models introduces several ethical risks, including misinformation, bias, and intellectual property violations. These systems can unintentionally generate harmful or misleading content, raising concerns about accountability and trust. Privacy risks also emerge when sensitive data is used for training without proper safeguards. Additionally, overreliance on such models can reduce human oversight in critical decision-making processes. Ensuring transparency, fairness, and responsible use is vital to minimizing these risks and maintaining public confidence. To address these challenges, structured learning can provide valuable insights through a generative AI course.