Law Commons^™

The Promise And Perils Of Algorithmic Lenders’ Use Of Big Data, Matthew Adam Bruckner

Chicago-Kent Law Review

Tens of millions of Americans lack access to traditional forms of credit and must rely on payday and pawn loans instead. “Algorithmic lending 2.0” promises to enable fintech companies to lend to those excluded from traditional forms of credit. Version 2.0 algorithmic lenders claim to use Big Data and machine learning to increase credit access by making better predictions about prospective borrowers’ creditworthiness and decreasing the cost of credit. Supporters also claim that algorithmic lending 2.0 removes human bias from the financial services sector. Detractors have cast doubt on both claims, arguing that there is scant evidence that algorithmic lending …

Leveraging Predictive Policing Algorithms To Restore Fourth Amendment Protections In High-Crime Areas In A Post-Wardlow World, Kelly K. Koss

Chicago-Kent Law Review

Rapid technological changes have led to an explosion in Big Data collection and analysis through complex computerized algorithms. Law enforcement has not been immune to these technological developments. Many local police departments are now using highly advanced predictive policing technologies to predict when and where crime will occur in their communities, and to allocate crime-fighting resources based on these predictions.

Although predictive policing technology has an array of the potential uses, the scope of this Note is limited to addressing how the statistical outputs from these technologies can be used to restore eroded Fourth Amendment rights in alleged high-crime areas. …