The document discusses the challenges of regulating AI technology and the limitations of the current regulatory approaches being considered by the U.S. and EU.
While observing this flurry of regulatory activity, Kellogg finance professor Sergio Rebelo and his coauthors, João Guerreiro of UCLA and Pedro Teles of Portuguese Catholic University, noted that the new frameworks each “tended to emphasize one solution.”
So, the researchers created an economic model to simplify the complex issues and identify the key problems facing AI regulators.
They found that none of the current regulatory approaches alone are likely to be successful, but a combination of approaches could potentially lead to an optimal solution.
The researchers emphasize the inherent uncertainty around the social effects of AI algorithms, as we are in a “brave new world” where the consequences are difficult to anticipate.