This post discusses the ethical concerns in AI, the role of data teams in AI ethics, and steps data teams can take to ensure more ethical AI. It emphasizes the importance of considering model bias, AI usage, and data responsibility in AI development. Data teams are responsible for ensuring the ethical use of data and mitigating risks associated with AI design flaws. They should advocate for a seat at the AI table, leverage methodologies like RAG to curate responsible data, and prioritize data reliability.
