Explore the critical issue of bias in artificial intelligence through this keynote speech by Margaret Mitchell, PhD, delivered at the ODSC East 2020 Virtual Conference. Delve into the complexities of vision-language AI and grounded language generation, examining how biases in data representation and human cognition can lead to unjust outcomes in AI systems. Learn about the challenges in predictive policing, computer vision, and automated inference, and discover strategies for mitigating bias, including disaggregated evaluation, intersectional analysis, and improved data handling. Gain insights into the importance of privacy, documentation, and inclusive data practices in AI development. Understand the potential of synthetic data and the need for established standards to create more equitable AI systems that evolve towards positive societal goals.