We’ve all read the news articles and heard our most prominent voices espouse the need for ethical and responsible AI, but what does that actually look like? This panel will explore how we can, and need to, move beyond discussions, whitepapers, and even principle setting to ensure AI systems are being designed, built, trained, and managed in a way which reflects our ethical expectations. This unique group of researchers and industry leaders are each working on tangible solutions for the quantifiable evaluation and protection of AI inputs, most notably the data and algorithms that are fueling these systems. Through the establishment of international standards, the creation of data trusts, and hands-on ethics labs this panel will share current work to mitigate bias and ensure fairness in AI.