HOW TO USE TECHSTREAM HOW TO

These developments in Germany provide important lessons for European policymakers at work crafting updated regulations. Creating systematic barriers to using algorithms may well make people worse off. But human decisionmakers are also frequently biased, opaque, and unfair. And there are some contexts, such as criminal trials and sentencing, where having humans decide serves important values such as fairness and due process. No one wants biased algorithms, such as ones that increase racial disparities in health care. And they show that reflexive rejection of algorithmic decisionmaking is undesirable.

HOW TO USE TECHSTREAM HOW TO

They demonstrate that greater nuance is sorely needed in debates over when and how to regulate algorithms. However, critics and reformers have largely failed to ask an important question: How do people actually feel about having algorithms make decisions that affect their daily lives? In a forthcoming paper in the Arizona State Law Journal, we did just that and surveyed people about their preferences for having a human versus an algorithm decide an issue ranging from the trivial (winning a small gift certificate from a coffee shop) to the substantial (deciding whether the respondent had violated traffic laws and should pay a hefty fine).

How to use techstream