Frameworks Seek to Control AI

AI governance frameworks are emerging as guard rails for controlling algorithms that are playing a growing role in human decision-making. Among the goals is managing the consequences of those decisions. Business consultants and professional services firms in particular have focused on new ways to assess and control AI algorithms as a way of building trust. Among them is KPMG, which launched a new framework this week called AI in Control designed to assess algorithms underlying business applications to spot bias and enforce governance rules to ensure ethical AI. The goal of KPMG's framework is fostering AI algorithms that are accurate, addressing what the company warns is the current "trust gap" among business executives clamoring for "explainable AI."