5 Rules to Manage AIís Unintended Consequences
by Bob Suh
Companies are increasingly using “reinforcement-learning agents,” a type of AI that rapidly improves through trial and error as it single-mindedly pursues its goal, often with unintended and even dangerous consequences. The weaponization of polarizing content on social media platforms is an extreme example of what can happen when RL agents aren’t properly constrained. To prevent their RL agents from causing harm, leaders should abide by five rules as they integrate this AI into their strategy execution.
Read Full Article Here: https://hbr.org/2021/05/5-rules-to-manage-ais-unintended-consequences