GenAI is an ethical quagmire. What responsibility do data leaders have to navigate it? In this article, we consider the need for ethical AI and why data ethics are AI ethics.

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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.

Building Ethical AI Starts with the Data Team — Here’s Why

Why Data Teams Are Responsible for AI Ethics

Why Data Responsibility Should Matter to the Data Team

2. Leverage methodologies like RAG to curate more responsible — and reliable — data