From principles to practice: Why ethical AI starts with data

Ethical AI must begin with ethical data practices, because datasets—often collected from people without consent or fair representation—shape AI behavior and can reproduce bias and harm. Using the NDIZI project as a case study, it shows how embedding data ethics and human-centered design throughout the AI lifecycle can help ensure fairness, transparency, and accountability, particularly when working with smallholder farmers.