Fighting AI Bias: How To Obtain Secure and High-Quality Training Data
Training data is the lifeblood of AI. Without it, computers couldn’t be trained to see, speak, or perform any intelligent functions. Yet, so much of the training data used today is difficult to obtain and low-quality, ultimately resulting in algorithms that don’t work as desired and exhibit strong cases of bias. As more and more businesses develop their own machine learning algorithms, how can they ensure that their training data is high-quality and well-rounded while being delivered in a secure way? In this rapid fire session, learn how top organizations obtain superior quality training data without compromising privacy or security -- and how it’s possible to make positive social impact along the way.
Wendy Gonzalez has over 20 years of experience in building excellence in technology, teams, and operations. As President and COO, Wendy is responsible for the daily operations of Sama, the trusted high-quality training data and validation provider. Founded over a decade ago, 25% of the Fortune 50 rely on Sama’s trusted platform for expert, ethical training data. Samsource support clients working in computer vision, NLP, content moderation, and data enrichment. Prior to her role at Sama, Wendy led product and engineering at an IoT SaaS startup, held leadership positions at public companies in IT and over 10 years of experience in management consulting.