Recommender systems are online algorithms that can help users, reducing complexity and search costs. But they also target and exploit behavioral biases. Recommender systems lend themselves to regulation through ‘budges’. … More Algorithms and Autonomy: Regulating Recommender Systems in the Age of Hyper-Nudging
By Richard H. Thaler – University of Chicago
When the editors of this journal asked me to write a commentary on a new paper by George Loewenstein and Nick Chater I did not expect that I would have anything useful to say. After all, I have known George for longer than we would care to admit, and we mostly share similar worldviews. Nonetheless, after reading their paper, and after trying and failing to sort things out in person, I found myself left with enough differences of opinion that it seemed worth writing something up. With one exception … More Much Ado About Nudging