What Will AI Mean for Everyday Life?

The discussion between Willie Tejada and Anthony Goldbloom revolved around the current state of AI and its impact on everyday life. They highlighted that we are in an unprecedented era where AI is making a significant difference, particularly in areas such as consumer selection, patient-centric care, fraud prediction, credit scoring, and automation of repetitive tasks like radiology. The combination of data sets and availability of resources is fueling the growth of AI. Tejada emphasized that algorithms are contributing to oncology and other life sciences by training systems based on the right human inputs. He also stressed the importance of maintaining assisted rather than replacement roles for AI in various sectors. Goldbloom, on the other hand, argued that while repetitive tasks can be automated, there will always be a combination of routine algorithm and more challenging cases for humans to handle. The discussion also touched upon how companies should shift their focus towards needing fewer but highly talented machine learners rather than many mediocre ones. Furthermore, they highlighted the need for collaboration between data and application teams in organizations as data is the fuel for AI. Looking forward, Goldbloom mentioned that challenges are mainly organizational and that Google Brain serves as an example of how to effectively productionize machine learning within a company. He also pointed out the potential use of AI in stock trading, ad targeting, and generative models that can write captions for images. Tejada argued that tax codes could be replaced by AI in the future, with systems having embedded AI accessible at a commodity level through the internet. The discussion concluded with addressing concerns about trust-building for broader adoption of AI and how it is use-case specific. They also touched upon the potential impact on jobs and provided career advice for students entering the workforce.