Ethical considerations in developing AI technologies include issues such as bias, transparency, and accountability. Ensuring that AI systems are free from biases involves careful data selection and monitoring, as biased algorithms can perpetuate discrimination. Transparency in how AI systems operate is essential to build trust with users, while accountability ensures that developers and organizations take responsibility for AI outcomes. Additionally, considerations around data privacy and consent are critical to protect individual rights in an increasingly automated world, promoting ethical alignment in technology deployment.