Open Forum: Training and Applying AI: Strategies and Trends and What Comes Next

The potential of artificial intelligence to spur transformative change across domains—including transportation, healthcare, government, education, robotics, media, advertising, and social–are largely made possible by training, validating and augmenting machine learning with people. If AI is fire consuming software, human training data is the vital oxygen that feeds it. Processors, algorithms and frameworks are becoming increasingly potent and pervasive, but AI models still need accurate, precise, structured training data to see, hear, talk and “think” like people. The resulting human-machine learning loops are powerful, but challenging. As Leo Cherne said, “The computer is incredibly fast, accurate, and stupid. Man is incredibly slow, inaccurate, and brilliant.” Come hear from a diverse group of accomplished AI leaders as they discuss their latest insights into this pivotal, strategic area. What are the best approaches; what are the dangers? What does it take to train AI to be really good, and how will this evolve in the next 5 years?

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