Ethical concerns with neural networks include bias, where models inadvertently reinforce societal stereotypes due to biased training data. For instance, facial recognition systems may perform poorly on underrepresented groups.
Privacy issues arise when models process sensitive information, such as personal health or financial data. Ensuring data security and compliance with regulations like GDPR is critical.
The potential for misuse, like deepfake generation or surveillance, also raises ethical questions. Transparency, accountability, and fairness are essential for addressing these concerns while using neural networks responsibly.