Published:
|
Updated:
Extract from INFORMS OR/MS Today (Peter Horner)
In this month’s lead feature (“When good A.I. goes bad”), contributing author Joseph Byrum brings up ethics as it relates to artificial intelligence and machine learning, two of the hottest topics in the O.R. and analytics orbit right now. Writes Byrum: “The lesson as we develop increasingly powerful A.I. solutions is that the A.I. can never substitute for due diligence. The more we turn over decisions to A.I., the more we must ensure that procedures are in place to catch the mistakes made not by the A.I., but the humans who set up and operate the systems.” In other words, Byrum says, validation and verification remain crucial.
Joseph Byrum is an accomplished executive leader, innovator, and cross-domain strategist with a proven track record of success across multiple industries. With a diverse background spanning biotech, finance, and data science, he has earned over 50 patents that have collectively generated more than $1 billion in revenue. Dr. Byrum’s groundbreaking contributions have been recognized with prestigious honors, including the INFORMS Franz Edelman Prize and the ANA Genius Award. His vision of the “intelligent enterprise” blends his scientific expertise with business acumen to help Fortune 500 companies transform their operations through his signature approach: “Unlearn, Transform, Reinvent.” Dr. Byrum earned a PhD in genetics from Iowa State University and an MBA from the Stephen M. Ross School of Business, University of Michigan.
