Camille Eddy began working on advanced robotics during an internship at HP Inc’s headquarters in Palo Alto, California as a Machine Learning Intern. She continued to intern at X, formerly Google X, in their robotics initiative and then at NVIDIA where she worked on autonomous cars. She is currently studying for a Bachelor's degree in Mechanical Engineering.
Camille speaks nationally on inclusion in the tech community and regularly writes on the topic. She also enjoys volunteering for STEM advocacy organizations for young girls and students.
In a world that is being increasingly run on artificial intelligence, do we understand how algorithms make their decisions? In situations where humans have trouble making the right choices for culture—including race, language, accessibility, and equality—the algorithms we use should also face the same questions.
Camille Eddy walks you through how the services we all use everyday have adapted machine learning to become more inclusive. Camille also explains what we can do to create culturally sensitive computer intelligence and why that is important for the future of AI.