When Megan Gray, CEO of Moment AI, first tested one of her company's services -- a tool using AI to determine facial signs indicating a driver may have fallen asleep or suffered a medical issue -- it didn't work. "The technology worked on our CTO, who is a white male. But then I tried it, and it couldn't detect that my eyes were closed," Gray said. This is just one example of how a lack of diversity in the field of AI affects the technologies that are created. At GTC DC, this week's Washington edition of the GPU Technology Conference, a range of events focused on sharing ideas on how workplaces can become more inclusive, and how researchers can improve their AI technology to avoid bias.